David Krackhardt

21.3k citations
89 papers · 13.0k indexed · 8 hit papers · h-index 42

David Krackhardt

84 papers receiving 11.6k citations

Hit Papers

Sensitivity of MRQAP Tests to Collinear...546198520261998201250010001.5k

Peers

David Krackhardt
Comparison fields: 5 of 168
  • Organizational Behavior and Human Resource Management 3.0k
  • Communication 1.9k
  • Strategy and Management 3.6k
  • Statistical and Nonlinear Physics 2.0k
  • Management of Technology and Innovation 1.1k
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Daniel J. Brass United States
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Citations per year

Countries citing papers authored by David Krackhardt

Since Specialization
Citations

This map shows the geographic impact of David Krackhardt'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 David Krackhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Krackhardt more than expected).

Fields of papers citing papers by David Krackhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Krackhardt. 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 David Krackhardt. The network helps show where David Krackhardt may publish in the future.

Co-authorship network

The 25 scholars most cited alongside David Krackhardt, 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 David Krackhardt Line = papers co-authored together David Krackhardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20235
2 20180
3 201821
4 201710
5 201518
6 20148
7
Comparing Peer Influences in Multiple Large Networks – An Empirical Study on Caller Ringback Tone
20131
8 201313
9 201346
10 201315
11 201233
12
An effective and efficient subpopulation extraction method in very large social networks
20117
13 201123
14 201062
15 20108
16
Sensitivity of MRQAP Tests to Collinearity and Autocorrelation Conditionsbreakdown →
2007546
17 200325
18
Dynamic Effects of Trust and Cognitive Social Structures on Information Transfer Relationships
20022
19 1994220
20
A social network analysis of the effects of employee turnover : a longitudinal field study
19841

About David Krackhardt

David Krackhardt is a scholar working on Statistical and Nonlinear Physics, Organizational Behavior and Human Resource Management, Management Science and Operations Research, Strategy and Management and Emergency Medicine, having authored 89 papers that have together received 13.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (22 papers), Opinion Dynamics and Social Influence (17 papers), Business Strategy and Innovation (10 papers), Innovation and Knowledge Management (9 papers), Social Capital and Networks (8 papers), Management and Organizational Studies (7 papers), Complex Systems and Decision Making (6 papers) and Innovation Diffusion and Forecasting (6 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (3.0k citations), Communication (1.9k citations), Strategy and Management (3.6k citations), Statistical and Nonlinear Physics (2.0k citations) and Management of Technology and Innovation (1.1k citations). David Krackhardt has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Henry Mintzberg, Martín Kilduff, Tim Rowley, Robert N. Stern, Lyman W. Porter, Kathleen M. Carley, Marco Tortoriello, David Dekker, Tom A. B. Snijders and Stephen P. Borgatti. Their work appears in journals such as Social Networks, Academy of Management Journal, Journal of Mathematical Sociology, Journal of Applied Psychology and Administrative Science Quarterly.

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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