Daniel S. Halgin

3.0k total citations · 1 hit paper
25 papers, 1.4k citations indexed

About

Daniel S. Halgin is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Infectious Diseases. According to data from OpenAlex, Daniel S. Halgin has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 6 papers in Statistical and Nonlinear Physics and 5 papers in Infectious Diseases. Recurrent topics in Daniel S. Halgin's work include Social Capital and Networks (7 papers), HIV/AIDS Research and Interventions (5 papers) and Opinion Dynamics and Social Influence (5 papers). Daniel S. Halgin is often cited by papers focused on Social Capital and Networks (7 papers), HIV/AIDS Research and Interventions (5 papers) and Opinion Dynamics and Social Influence (5 papers). Daniel S. Halgin collaborates with scholars based in United States, India and Chile. Daniel S. Halgin's co-authors include Stephen P. Borgatti, Andrew Parker, April M. Young, Jennifer R. Havens, Adam B. Jonas, Zhi Huang, Jason M. Smith, Rich DeJordy, Giuseppe Labianca and Daniel J. Brass and has published in prestigious journals such as PLoS ONE, Organization Science and Journal of Organizational Behavior.

In The Last Decade

Daniel S. Halgin

25 papers receiving 1.4k citations

Hit Papers

On Network Theory 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel S. Halgin United States 12 476 401 226 217 181 25 1.4k
Steven Andrews United States 10 620 1.3× 471 1.2× 349 1.5× 321 1.5× 261 1.4× 20 1.9k
Jörg Raab Netherlands 19 789 1.7× 282 0.7× 183 0.8× 96 0.4× 150 0.8× 60 1.6k
Stefano Tasselli Netherlands 16 448 0.9× 333 0.8× 333 1.5× 181 0.8× 191 1.1× 36 1.4k
Michael Quayle South Africa 25 686 1.4× 462 1.2× 77 0.3× 136 0.6× 132 0.7× 88 2.0k
Song Yang United States 11 436 0.9× 164 0.4× 107 0.5× 142 0.7× 171 0.9× 40 1.3k
Gerhard G. van de Bunt Netherlands 11 843 1.8× 285 0.7× 239 1.1× 198 0.9× 532 2.9× 16 2.2k
Alessandro Lomi Switzerland 28 705 1.5× 711 1.8× 347 1.5× 243 1.1× 638 3.5× 104 2.5k
Wesley Shrum United States 27 900 1.9× 368 0.9× 152 0.7× 346 1.6× 142 0.8× 90 2.5k
Steven R. Corman United States 18 466 1.0× 191 0.5× 291 1.3× 305 1.4× 184 1.0× 60 1.5k
Pamela Morrison Australia 14 514 1.1× 676 1.7× 160 0.7× 378 1.7× 38 0.2× 28 2.1k

Countries citing papers authored by Daniel S. Halgin

Since Specialization
Citations

This map shows the geographic impact of Daniel S. Halgin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel S. Halgin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Halgin more than expected).

Fields of papers citing papers by Daniel S. Halgin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Halgin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel S. Halgin. The network helps show where Daniel S. Halgin may publish in the future.

Co-authorship network of co-authors of Daniel S. Halgin

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Halgin. A scholar is included among the top collaborators of Daniel S. Halgin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel S. Halgin. Daniel S. Halgin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rinaldi, Alberto, et al.. (2023). Databases, network analysis and business history. Management & Organizational History. 18(1). 69–80. 1 indexed citations
2.
Halgin, Daniel S., Stephen P. Borgatti, Ajay Mehra, & Scott M. Soltis. (2019). Audience perceptions of high‐status ties and network advantage: The market for coaching jobs in the National Collegiate Athletic Association (2000–2011). Journal of Organizational Behavior. 41(4). 332–347. 9 indexed citations
3.
Halgin, Daniel S., et al.. (2018). Organizational Actorhood and the Management of Paradox: A Visual Analysis. Organization Studies. 39(5-6). 645–664. 19 indexed citations
4.
Walsh, Ian J., Daniel S. Halgin, & Zhi Huang. (2017). Making Old Friends: Understanding the Causes and Consequences of Maintaining Former Coworker Relationships. Academy of Management Discoveries. 4(4). 410–428. 18 indexed citations
5.
Young, April M., Daniel S. Halgin, & Jennifer R. Havens. (2015). Relationship-level analysis of drug users' anticipated changes in risk behavior following HIV vaccination. AIDS Care. 27(8). 1000–1004. 1 indexed citations
6.
Young, April M., Ralph J. DiClemente, Daniel S. Halgin, Claire E. Sterk, & Jennifer R. Havens. (2014). HIV vaccine acceptability among high-risk drug users in Appalachia: a cross-sectional study. BMC Public Health. 14(1). 537–537. 9 indexed citations
7.
Young, April M., Ralph J. DiClemente, Daniel S. Halgin, Claire E. Sterk, & Jennifer R. Havens. (2014). Drug Users’ Willingness to Encourage Social, Sexual, and Drug Network Members to Receive an HIV Vaccine: A Social Network Analysis. AIDS and Behavior. 18(9). 1753–1763. 12 indexed citations
8.
Young, April M., Daniel S. Halgin, Ralph J. DiClemente, Claire E. Sterk, & Jennifer R. Havens. (2014). Will HIV Vaccination Reshape HIV Risk Behavior Networks? A Social Network Analysis of Drug Users' Anticipated Risk Compensation. PLoS ONE. 9(7). e101047–e101047. 12 indexed citations
9.
Smith, Jason M., et al.. (2013). Power in politically charged networks. Social Networks. 36. 162–176. 49 indexed citations
10.
Borgatti, Stephen P. & Daniel S. Halgin. (2012). An Introduction to Personal Network Analysis and Tie Churn Statistics Using E-NET. Connection Science. 32(1). S64–71. 61 indexed citations
11.
Young, April M., et al.. (2012). Network Structure and the Risk for HIV Transmission Among Rural Drug Users. AIDS and Behavior. 17(7). 2341–2351. 63 indexed citations
12.
Smith, Jason M., et al.. (2012). Power in Politically Charged Networks. SSRN Electronic Journal. 6 indexed citations
13.
Halgin, Daniel S., Gopakumar Gopalakrishnan, & Stephen P. Borgatti. (2012). A Network Perspective on Social Capital Preferences: Centrality, Brokerage and Status Aspirations. Academy of Management Proceedings. 2012(1). 12987–12987. 1 indexed citations
14.
Borgatti, Stephen P. & Daniel S. Halgin. (2011). On Network Theory. Organization Science. 22(5). 1168–1181. 996 indexed citations breakdown →
15.
Borgatti, Stephen P. & Daniel S. Halgin. (2011). On Network Theory. SSRN Electronic Journal. 24 indexed citations
16.
Borgatti, Stephen P. & Daniel S. Halgin. (2011). Mapping Culture: Freelists, Pilesorting, Triads and Consensus Analysis. UKnowledge (University of Kentucky). 3. 3 indexed citations
17.
Halgin, Daniel S.. (2009). Effects of Social Identity, Network Connectivity, and Prior Performance on Career Progression and Resilience: A Study of NCAA Basketball Coaches. 4 indexed citations
18.
Halgin, Daniel S.. (2008). ALL IN THE FAMILY: NETWORK TIES AS DETERMINANTS OF REPUTATION AND IDENTITY IN NCAA BASKETBALL.. Academy of Management Proceedings. 2008(1). 1–6. 1 indexed citations
19.
DeJordy, Rich, et al.. (2007). Visualizing Proximity Data. Field Methods. 19(3). 239–263. 36 indexed citations
20.
Halgin, Daniel S.. (2006). THE INFLUENCE OF LEGITIMACY ON CAREER TRAJECTORIES OF INDIVIDUALS IN LEADERSHIP POSITIONS: NCAA BASKETBALL.. Academy of Management Proceedings. 2006(1). B1–B6. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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