Daniel S. Halgin

3.1k citations
25 papers · 2.1k · 1 hit paper · h-index 14

Impact in

    • Knowledge Management and Sharing
    • Social Media and Politics
    • Innovation and Knowledge Management
    • Business Strategy and Innovation

Papers in

Daniel S. Halgin

25 papers receiving 1.9k citations

Daniel S. Halgin's Hit Papers

On Network Theory 2011 · 1.2k citations
1.2k0+5+10Years since publication2505007501000

Peers

Daniel S. Halgin
Comparison fields: 5 of 131
  • Communication 300
  • Strategy and Management 466
  • Organizational Behavior and Human Resource Management 265
  • Statistical and Nonlinear Physics 310
  • Business and International Management 50
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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-authors

The 23 scholars most cited alongside Daniel S. Halgin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel S. Halgin Line = papers co-authored together Daniel S. Halgin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On Network Theory
Hit paper breakdown →
20111156
2 2014157
3 2014140
4 201597
5
An Introduction to Personal Network Analysis and Tie Churn Statistics Using E-NET
201290
6 201470
7 201266
8 201353
9 200838
10 200737
11
Mapping Culture: Freelists, Pilesorting, Triads and Consensus Analysis
201130
12 201923
13 201822
14 201718
15 201413
16 201412
17 201412
18 201410
19 201910
20 20133

About Daniel S. Halgin

Daniel S. Halgin is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science, Organizational Behavior and Human Resource Management, Epidemiology and Communication, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include Social Capital and Networks (8 papers), Opinion Dynamics and Social Influence (6 papers), Complex Network Analysis Techniques (6 papers), HIV, Drug Use, Sexual Risk (5 papers), Social and Cultural Dynamics (5 papers), Management and Organizational Studies (3 papers), HIV/AIDS Research and Interventions (3 papers) and Knowledge Management and Sharing (2 papers). The work is most often cited by research in Communication (300 citations), Strategy and Management (466 citations), Organizational Behavior and Human Resource Management (265 citations), Statistical and Nonlinear Physics (310 citations) and Business and International Management (50 citations). Daniel S. Halgin has collaborated with scholars based in United States, India and France. Frequent co-authors include Stephen P. Borgatti, Daniel J. Brass, Andrew Parker, April M. Young, Jennifer R. Havens, Zhi Huang, Scott M. Soltis, Adam B. Jonas, Ajay Mehra and Theresa M. Floyd. Their work appears in journals such as Social Networks, AIDS and Behavior, Organization Studies, Management & Organizational History and Organization Science.

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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