中文    English

Journal of library and information science in agriculture

   

The Impact of Organized Research Collaboration Characteristics Among High-Impact Authors in Humanities and Social Sciences on Paper Output

TAN Chunhui, WANG Hongxin   

  1. School of Information Management, Central China Normal University, Wuhan 430079
  • Received:2025-10-11 Online:2025-12-15

RichHTML

0

PDF (PC)

0

Abstract:

[Purpose/Significance] This study explores the characteristics of organized research collaboration among humanities and social sciences (HSS) researchers and their impact on paper output, aiming to optimize such collaboration and provide theoretical and practical support for enhancing the effectiveness of organized research in HSS. [Method/Process] We selected 163 high-impact scholars serving as chief investigators of Major Project supported by the National Social Science Fundation of China from 2015 to 2021 as the research subjects, and used their papers funded by these projects and published in the Chinese key journals as the data source. Nine explanatory variables (e.g., co-authorship degree, co-authorship rate) and five explained variables (e.g., first-author publication volume, relative publication volume) were designed. Factor analysis was employed to reduce dimensionality and extract three common factors of organized research collaboration: "collaboration stability and intensity," "collaboration breadth and depth," and "collaboration diversity." Combined with control variables such as gender, educational background, and administrative positions, Spearman correlation analysis and multiple linear regression models were used to empirically test the impact of organized research collaboration characteristics on academic paper output. [Results/Conclusions] Under the organized research paradigm: 1) Organized research collaboration characteristics' common factors exhibit a significant inhibiting effect on the quantity of academic paper output; 2) Organized research collaboration characteristics demonstrate a significant enhancing effect on the proportion of high-impact papers; 3) Individual characteristics show no significant effect on academic paper output. Corresponding implications are drawn from the perspective of promoting high-quality development of organized research collaboration in HSS. We put forward some suggestions. Research management institutions should promote interdisciplinary and cross-domain collaborative innovation, optimize research evaluation to guide the quality of cooperation, and strengthen regional collaboration and international cooperation networks. Research institutions should enhance the development and management of research teams, intensify academic exchanges and capacity training, and optimize the allocation of research resources. Researchers should dynamically adjust their cooperation strategies, make good use of digital tools to streamline cooperation processes, balance administrative duties with academic outputs, and attach importance to the training of young scholars.

Key words: Humanities and Social Sciences (HSS), high-impact authors, organized research collaboration, organized research

CLC Number: 

  • G353

Table 1

Basic information of high-impact authors who are chief experts of major projects supported by the national social science fundation of China （partial）"

序号 首席专家 责任单位 课题名称 Z指数
1 刘艳红 东南大学 大数据与审判体系和审判能力现代化研究 88.35
2 王化成 中国人民大学 基于马克思劳动价值论的会计宏观价值指数的编制与分析 72.00
3 白俊红 南京师范大学 新型举国体制下技术突破的市场机制和政策路径研究 68.56
4 吕越 对外经济贸易大学 新发展格局下中国产业链供应链安全稳定战略研究 67.07
5 程啸 清华大学 大数据时代个人数据保护与数据权利体系研究 66.32
6 黄益平 北京大学 数字普惠金融的创新、风险与监管研究 66.10
7 刘宪权 华东政法大学 网络时代的社会治理与刑法体系的理论创新研究 64.50
8 孔祥俊 上海交通大学 数字网络空间的知识产权治理体系研究 64.26
9 余泳泽 南京财经大学 环境目标约束下的产业高质量发展研究 61.60
10 郁建兴 浙江大学 政府培育发展社会组织的效应研究 60.42
11 尹志超 首都经济贸易大学 中国家庭经济风险测度、成因及外溢性研究 59.98
12 刘彦随 北京师范大学 城镇化对我国农业农村发展的影响与对策研究 59.68
13 原毅军 大连理工大学 加快我国传统产业向中高端升级发展的微观机制和政策创新研究 56.10
14 刘沛林 衡阳师范学院 历史文化村镇数字化保护的理论、方法和应用研究 56.07
15 李志生 中南财经政法大学 新形势下资本市场重大风险防范与化解研究 54.26
16 范子英 上海财经大学 全面推进生态创新的财税政策体系研究 54.06
17 戚聿东 北京师范大学 技术标准与知识产权协同推进数字产业创新的机理与路径研究 53.86
18 祝继高 对外经济贸易大学 “一带一路”投资安全保障体系研究 53.31
19 毛捷 对外经济贸易大学 新时代下地方政府债务风险的新特征与监管研究 52.93
20 郑磊 复旦大学 面向数字化发展的公共数据开放利用体系与能力建设研究 52.09

Table 2

List of co-authors and collaboration frequencies of scholar X"

合作者 学者Y 学者Z 学者M 学者N 学者O 学者P 学者Q
合作频次/次 6 5 4 3 2 2 1

Table 3

The number of academic papers"

学术论文数量/篇 合著发文量/篇 合著率/%
1 720 1 417 82.38

Table 4

Top 10 high-impact scholars by node centrality in academic paper collaboration networks"

排名 作者 点度中心度 作者 中介中心度 作者 接近中心度
1 赵敏娟 73 赵敏娟 0.267 孟庆国 0.807
2 沈体雁 73 孔祥斌 0.267 王亚华 0.782
3 陈劲 65 王姣娥 0.266 孟天广 0.663
4 但斌 61 王家宏 0.262 卢洪友 0.524
5 孔祥斌 57 张安录 0.262 胡开宝 0.396
6 朱庆华 50 杜德斌 0.259 黄贤金 0.372
7 徐维祥 47 唐皇凤 0.258 但斌 0.275
8 原毅军 46 徐维祥 0.257 顾小清 0.260
9 王晰巍 45 宋德勇 0.257 陈劲 0.222
10 刘程军 43 赖德胜 0.257 刘沛林 0.220

Table 5

Descriptive statistics of paper output quantity"

变量 最小值 最大值 平均值 标准差 方差
第一作者发文量 0.00 23 5.134 969 5.160 629 5.176 532
相对发文量 0.12 20 4.693 505 4.267 603 4.280 974

Table 6

Descriptive statistics of paper output quality"

变量 最小值 最大值 平均值 标准差 方差
篇均被引频次 0 1 049.75 37.921 589 87.909 200 7 728.026 9
篇均下载数量 542.5 25 314.0 2 897.071 7 2 598.418 9 6 751 780.8
前10%被引文章数量所占百分比 0 1 0.211 470 0 0.230 800 0 0.053 260 5

Table 7

Paper output performance by discipline"

学科 人数 第一作者发文量均值 相对发文量均值 篇均被引频次均值 篇均下载数量均值
法学 31 7.387 097 6.553 874 30.692 300 2 330.131 535
管理学 38 3.947 368 3.947 922 30.824 436 2 467.280 628
教育学 4 5.000 000 5.183 305 23.295 192 2 483.428 346
理论经济 6 5.333 333 4.756 566 29.877 777 2 082.397 222
人口学 1 4.000 000 4.000 000 66.750 000 2 852.250 000
社会学 6 4.833 333 5.829 434 39.304 981 2 449.070 776
体育学 6 2.000 000 2.708 271 22.214 646 2 087.575 758
统计学 3 3.666 667 2.862 626 49.629 629 3 834.648 148
图书馆、情报与文献学 3 2.666 667 3.191 111 9.891 203 1 153.712 963
新闻学与传播学 2 17.500 000 16.227 270 30.016 233 3 193.477 273
应用经济 61 4.901 639 4.083 098 50.789 155 3 738.114 636
语言学 2 4.000 000 3.833 333 6.692 307 2 177.346 154

Table 8

Correlation analysis between scientific research collaboration indicators and paper output indicators"

被解释变量 合著度 合著率

合作

系数

合作能

力指数

点度

中心度

中介

中心度

接近

中心度

有限

规模

聚类

系数
第一作者发文量 ρ -0.294*** -0.263*** -0.295*** 0.218*** 0.184** 0.234*** 0.176** 0.223*** -0.335***
Sig <0.001 <0.001 <0.001 0.005 0.019 0.003 0.025 0.004 <0.001
相对发文量 ρ -0.254*** -0.242*** -0.260*** 0.349*** 0.320*** 0.334*** 0.282*** 0.368*** -0.362***
Sig 0.001 0.002 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001
篇均被引频次 ρ -0.101 -0.058 -0.083 0.124 0.057 0.040 0.030 0.069 -0.090
Sig 0.200 0.465 0.293 0.115 0.467 0.612 0.701 0.378 0.256
篇均下载数量 ρ -0.013 0.055 0.011 0.021 -0.026 -0.046 -0.053 -0.023 0.097
Sig 0.872 0.482 0.886 0.795 0.740 0.562 0.502 0.773 0.219
前10%被引文章数量所占百分比 ρ 0.004 0.047 0.015 -.488*** -.499*** -.475*** -434*** -.533*** 0.256***
Sig 0.962 0.553 0.852 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001

Table 9

KMO test and Bartlett's test"

KMO取样适切性量数 0.626
Bartlett球形度检验 近似卡方 2 648.981
自由度 36
显著性 0.000

Table 10

Rotated component matrix of explanatory variables"

成分
解释变量 F1 F2 F3
合著度 0.305 0.896 0.049
合著率 0.314 0.833 0.099
合作系数 0.318 0.922 0.079
合作能力指数 0.839 0.192 -0.022
点度中心度 0.909 0.237 0.232
中介中心度 0.083 0.001 0.976
接近中心度 0.645 0.214 0.692
有限规模 -0.474 0.714 -0.046
聚类系数 0.919 0.164 0.247

Table 11

Regression analysis results of scientific research collaboration characteristic factors and paper output"

变量 标准化回归系数
第一作者发文量 相对发文量 篇均被引频次 篇均下载数量 前10%被引文章数量所占百分比
F1 -6.069*** -3.327*** 0.329 0.754 3.516***
F2 -3.907*** -2.220*** 0.081 0.476 1.814***
F3 -2.287*** -1.179** 0.229 0.200 1.427***
行政职务（参照：无）
辅助管理型任职 0.156 0.179 -0.014 -0.028 0.062
行政管理型任职 0.056 0.191 0.069 0.047 -0.015
趋政型任职 -0.037 0.000 0.028 -0.070 0.038
学历背景多样性（参照：均就读于1所院校）
就读于2所不同院校 -0.005 -0.131 -0.016 0.078 -0.078
就读于3所不同院校 0.021 -0.073 0.329 0.230 0.039
海外学习学历（参照：无）
交流1年及以上 -0.038 -0.072 0.018 -0.117 0.035
海外获得最高学历 -0.067 -0.106 -0.040 -0.069 0.052
性别（参照：男）
女 -0.009 -0.084 0.193 0.206 0.039
最高学位（参照：硕士）
博士 0.093 0.082 -0.027 -0.023 -0.116
学术头衔（参照：无）
有学术头衔 0.103 0.074 0.026 0.147 0.027
R2 0.219 0.123 0.136 0.123 0.263
F 3.219*** 1.610** 1.804** 1.614* 4.082***
[1]
新华社. 教育部印发《关于加强高校有组织科研推动高水平自立自强的若干意见》[EB/OL]. [2024-09-01].
[2]
罗杰·盖格, 高筱卉. 论美国大学中有组织的研究单位[J]. 高等工程教育研究, 2023(5): 171-180.
ROGER L G, GAO X H. On organized research units in American universities[J]. Research in higher education of engineering, 2023(5): 171-180.
[3]
赵宏媚, 赵文华, 姚建建. 高校有组织科研核心要素响应机制研究[J]. 科学学研究, 2024, 42(10): 2130-2137.
ZHAO H M, ZHAO W H, YAO J J. Research on the core elements and response mechanism of organized research in universities[J]. Studies in science of science, 2024, 42(10): 2130-2137.
[4]
HICKS D J. Productivity and interdisciplinary impacts of organized research units[J]. Quantitative science studies, 2021, 2(3): 990-1022.
[5]
王建华. 不确定的科学与有组织的科研[J]. 高等教育研究, 2023, 44(2): 20-29.
WANG J H. Uncertain science and organized research[J]. Journal of higher education, 2023, 44(2): 20-29.
[6]
RAVID K, SETA F, CENTER D, et al. Catalyzing interdisciplinary research and training: Initial outcomes and evolution of the affinity research collaboratives model[J]. Academic medicine, 2017, 92(10): 1399-1405.
[7]
谭春辉, 周一夫, 涂瑞德, 等. 聚焦国家重大战略需求, 加强“有组织科研”: 内涵定位、困境阻碍与运行策略[J]. 现代情报, 2025, 45(7): 134-144, 153.
TAN C H, ZHOU Y F, TU R D, et al. Focusing on major national strategic needs and strengthening "organized scientific research": Connotation-positioning, dilemmas-obstacles, and operational strategies[J]. Journal of modern information, 2025, 45(7): 134-144, 153.
[8]
DE FRUTOS-BELIZÓN J, GARCÍA-CARBONELL N, GUERRERO-ALBA F, et al. An empirical analysis of individual and collective determinants of international research collaboration[J]. Scientometrics, 2024, 129(5): 2749-2770.
[9]
LIU Z F, WANG C L, YANG J Q. The effects of scientific collaboration network structures on impact and innovation: A perspective from project teams[J]. Journal of informetrics, 2025, 19(1): 101611.
[10]
PUUSKA H M, MUHONEN R, LEINO Y. International and domestic co-publishing and their citation impact in different disciplines[J]. Scientometrics, 2014, 98(2): 823-839.
[11]
邱均平, 温芳芳. 作者合作程度与科研产出的相关性分析: 基于“图书情报档案学”高产作者的计量分析[J]. 科技进步与对策, 2011, 28(5): 1-5.
QIU J P, WEN F F. Correlation analysis on the relationship between the scientific collaboration degree among authors and the output of scientific research[J]. Science & technology progress and policy, 2011, 28(5): 1-5.
[12]
李海林, 陈多, 林伟滨. 合作网络整体性特征对科研团队创新绩效的影响研究: 以(国际)医学信息学领域研究论文为例[J]. 情报科学, 2023, 41(5): 59-67.
LI H L, CHEN D, LIN W B. The influence of the overall characteristics of the cooperation network on the innovation performance of scientific research teams: Taking the research papers in the field of medical informatics as an example[J]. Information science, 2023, 41(5): 59-67.
[13]
张雪, 张志强, 陈秀娟. 基于期刊论文的作者合作特征及其对科研产出的影响: 以国际医学信息学领域高产作者为例[J]. 情报学报, 2019, 38(1): 29-37.
ZHANG X, ZHANG Z Q, CHEN X J. Collaborative features of authors based on academic journal papers and their influence on scientific research output: Taking highly published authors of international medical informatics as an example[J]. Journal of the China society for scientific and technical information, 2019, 38(1): 29-37.
[14]
索传军, 牌艳欣. 基于融合指标与作者贡献度的z指数优化研究[J]. 情报理论与实践, 2022, 45(5): 28-36.
SUO C J, PAI Y X. Z-index optimization based on fusion index and author contribution[J]. Information studies: Theory & application, 2022, 45(5): 28-36.
[15]
方红玲, 张亚杰, 徐自超. 第一作者和合著者的生产力、影响力与论文被引频次的相关性对比研究[J]. 中国科技期刊研究, 2024, 35(2): 273-279.
FANG H L, ZHANG Y J, XU Z C. Relationship among first author and co-author productivity, influence, and cited frequency of papers[J]. Chinese journal of scientific and technical periodicals, 2024, 35(2): 273-279.
[16]
HAGEN N T. Harmonic allocation of authorship credit: Source-level correction of bibliometric bias assures accurate publication and citation analysis[J]. PLoS one, 2008, 3(12): e4021.
[17]
乔锦忠, 孙娜, 沈敬轩, 等. 科学基金对学术产出的长期影响研究[J]. 中国科技论坛, 2022(12): 88-98.
QIAO J Z, SUN N, SHEN J X, et al. Research on the long-term impact of science foundation on academic output[J]. Forum on science and technology in China, 2022(12): 88-98.
[18]
SEKERCIOGLU C H. Quantifying coauthor contributions[J]. Science, 2008, 322(5900): 371.
[19]
ZHAO Y, LI D, HAN M J, et al. Characteristics of research collaboration in biotechnology in China: Evidence from publications indexed in the SCIE[J]. Scientometrics, 2016, 107(3): 1373-1387.
[20]
刘俊婉, 杨波, 刘蕊. 管理学领域论文产出力和影响力的性别差异研究: 以《科研管理》期刊为例[J]. 科研管理, 2017, 38(S1): 153-158.
LIU J W, YANG B, LIU R. A research on the gender difference in productivity and influence of papers in the field of management-a case study of Science Research Management[J]. Science research management, 2017, 38(S1): 153-158.
[21]
AJIFERUKE I, BURELL Q, TAGUE J. Collaborative coefficient: A single measure of the degree of collaboration in research[J]. Scientometrics, 1988, 14(5): 421-433.
[22]
蒋茜茜. 融合多类新特征的科研合作预测研究[D]. 重庆: 西南大学, 2022.
JIANG X X. Scientific cooperation prediction research integrating multiple new features[D]. Chongqing: Southwest University, 2022.
[23]
王卫, 潘京华, 张晓梅. 合作能力指数及其实证研究[J]. 情报杂志, 2014, 33(11): 108-112, 98.
WANG W, PAN J H, ZHANG X M. Partnership ability index and its application[J]. Journal of intelligence, 2014, 33(11): 108-112, 98.
[24]
欧桂燕, 岳名亮, 吴江, 等. 杰出青年科研人员学术职业生涯科研合作特征演变分析: 以化学领域为例[J]. 情报学报, 2021, 40(7): 756-767.
OU G Y, YUE M L, WU J, et al. An analysis of the evolution of research collaboration according to the academic careers of distinguished researchers in chemistry[J]. Journal of the China society for scientific and technical information, 2021, 40(7): 756-767.
[25]
ABRAMO G, D'ANGELO A C, MURGIA G. The relationship among research productivity, research collaboration, and their determinants[J]. Journal of informetrics, 2017, 11(4): 1016-1030.
[26]
袁玉芝. 高校教师科研产出性别差异及其原因探析: 基于某研究型大学教育学教师的经验分析[J]. 高教探索, 2017(3): 5-12.
YUAN Y Z. Analysis on the gender difference of university teachers' scientific research output and its causes: Based on the experience analysis of pedagogy teachers in a research university[J]. Higher education exploration, 2017(3): 5-12.
[27]
段宇锋, 刘俊茹, 步坤. 期刊特征与被引频次的关系研究[J]. 情报资料工作, 2018, 39(2): 13-18.
DUAN Y F, LIU J R, BU K. Research on the relationship between periodical characteristics and cited frequency[J]. Information and documentation services, 2018, 39(2): 13-18.
[1] HE Ying, SUN Wei, LI Zhoujing, MA Xiaomin. Research and Application of Evidence Recommendation Methods in Science and Technology Evidence-Based Policy Making [J]. Journal of library and information science in agriculture, 2025, (): 1-14.
[2] XUE Qian, ZHAO Hong, REN Fubing. The Changing Landscape of US Technology Think Tanks Reports on the Electronic Information Research and Industry: A Topic Mining Perspective [J]. Journal of library and information science in agriculture, 2025, (): 1-18.
[3] LI Xinxin, MA Yumeng, JU Zihan, WANG Jing. Aspect-Level Sentiment Analysis of Science and Technology Policy Reviews Based on Large Language Models: A Case Study of the New Energy Vehicle Industry [J]. Journal of library and information science in agriculture, 2025, (): 1-14.
[4] HOU Yanhui, WANG Zixuan, WANG Jiakun. "Innovation-aturity" Technology Opportunity Identification Based on Technological Complementarity [J]. Journal of library and information science in agriculture, 2025, (): 1-15.
[5] CHEN Yuanyuan, FU Bin, GAO Yuan, QIAO Junwei. Identification of Emerging Technology Topics and Prediction of Trends Using a Method Integrating BERTopic and IWOA-BiLSTM Models [J]. Journal of library and information science in agriculture, 2025, 37(6): 55-69.
[6] XIA Sudi, ZHANG Shuai, ZHANG Shumin, XIE Jing. An Evolutionary Game Analysis of Knowledge Sharing in Online Medical Communities in a Service Ecosystem Environment [J]. Journal of library and information science in agriculture, 2025, 37(6): 37-54.
[7] YOU Ge, LI Jielin, ZHANG Fangshun. Generating Mechanism of Online Public Opinion Heat in Public Emergencies from the Perspective of Information Ecology: Fuzzy Set Qualitative Comparative Analysis Based on 50 Cases [J]. Journal of library and information science in agriculture, 2025, 37(1): 86-99.
[8] ZHANG Liman, WU Yueting, CHENG Wenjing, LIU Tianyi, SUN Xinxin. Public Opinion Risk Early Warning Model on Government-Citizen Interaction Data: A Perspective on Evidence-based Decision Making [J]. Journal of library and information science in agriculture, 2024, 36(12): 89-103.
[9] XIANG Rui, SUN Wei. Methodology for Assessing the Influence of Technical Topics Based on PhraseLDA-SNA and Machine Learning [J]. Journal of library and information science in agriculture, 2024, 36(4): 45-62.
[10] YAO Ru, WANG Jinfei, LIN Qiao, KONG Lingbo, NIE Yingli. Interdisciplinary Knowledge Integration: Current Situation and Perspectives [J]. Journal of library and information science in agriculture, 2024, 36(4): 21-35.
[11] LI Mengli, WANG Ying, QIAN Li, XIE Jing, CHANG Zhijun, JIA Haiqing. Building an Scientific and Technological Talent Database for New Quality Productive Forces [J]. Journal of library and information science in agriculture, 2024, 36(2): 15-25.
[12] XIA Yikun, JIANG Jie, ZHANG Xiaheng, WANG Jiandong, ZHOU Wenjie, YANG Xinya, LI Yang. Developing the New Quality Productivity: Responses and Reflections on the Discipline of Information Resource Management [J]. Journal of library and information science in agriculture, 2024, 36(1): 4-32.
[13] LIU Ting, ZHAO Yajuan. Review and Prospect of Research on Technology Opportunity Identification [J]. Journal of library and information science in agriculture, 2023, 35(7): 4-17.
[14] WANG Jinfei, SUN Wei, ZHANG Xuefu, YANG Lu. Interdisciplinarity Measurement Method of Scientific Research Papers based on Adaptive Feature Selection [J]. Journal of library and information science in agriculture, 2023, 35(3): 52-70.
[15] YU Liping, PAN Weibo. Key Indicators of Journal Evaluation Based on K-means and PLS-DA [J]. Journal of library and information science in agriculture, 2022, 34(12): 55-64.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Editorial Board of Journal of library and information science in agriculture
Tel：(010)82109667　Fax：(010)82109667　E-mail：xuekan＠caas.cn
Powered by Beijing Magtech Co., Ltd.
知识共享许可协议