David Bennet

22 papers receiving 349 citations

Peers

David Bennet
Comparison fields: 5 of 95
  • Communication 61
  • Management Science and Operations Research 87
  • Microbiology 39
  • Strategy and Management 82
  • Business and International Management 10
Replace Lorna Heaton with:
Lorna Heaton Canada
Chris Goldspink United Kingdom
Michael A. Chilton United States
Young Wook Seo South Korea
Rashmi Assudani United States
Cathleen McGrath United States
Cristina Casado‐Lumbreras Spain
Sarit Moldovan Israel
Jami Carroll Australia
Emmanuel Monod France
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Citations per year

Countries citing papers authored by David Bennet

Since Specialization
Citations

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

Fields of papers citing papers by David Bennet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200868
2 200462
3
Organizational survival in the new world : the intelligent complex adaptive system : a new theory of the firm
200461
4 200849
5 200819
6 200817
7 200816
8 202315
9 202112
10 202112
11 200812
12 200711
13 200610
14 20079
15 20106
16
Characterizing the Next Characterizing the Next Generation Knowledge Generation Knowledge Organization Organization
20006
17 20064
18 20144
19 20102
20 20171

About David Bennet

David Bennet is a scholar working on Management Science and Operations Research, Microbiology, Cognitive Neuroscience, Plant Science and Social Psychology, having authored 23 papers that have together received 399 indexed citations. Recurring topics across this work include Complex Systems and Decision Making (10 papers), Alexander von Humboldt Studies (8 papers), Neuroscience, Education and Cognitive Function (4 papers), Plant and Biological Electrophysiology Studies (3 papers), Paranormal Experiences and Beliefs (2 papers), Cognitive Science and Mapping (2 papers), Alzheimer's disease research and treatments (1 paper) and Educational Leadership and Innovation (1 paper). The work is most often cited by research in Communication (61 citations), Management Science and Operations Research (87 citations), Microbiology (39 citations), Strategy and Management (82 citations) and Business and International Management (10 citations). David Bennet has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Alex Bennet, Simone Sehnem, Dulcimar José Julkovski, Michel Leseure, Matthew J. Armstrong, Yulin Jin, Thomas S. Wingo, Yanting Huang, Jason P. Schroeder and Zhaohui Qin. Their work appears in journals such as Journal of Knowledge Management, Journal of Mammalogy, VINE Journal of Information and Knowledge Management Systems, Journal of Neuropathology & Experimental Neurology and Neurobiology of Disease.

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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