Aaron Elkins

2.5k citations
49 papers · 1.7k · 1 hit paper · h-index 19

Impact in

Papers in

Aaron Elkins

46 papers receiving 1.6k citations

Aaron Elkins's Hit Papers

Machines as teammates: A research agenda on AI in team collaboration 2019 · 379 citations
3790+2+4Years since publication100200300

Peers

Aaron Elkins
Comparison fields: 5 of 165
  • Health Informatics 39
  • Social Psychology 439
  • Safety Research 138
  • Experimental and Cognitive Psychology 183
  • Artificial Intelligence 433
Replace Emre Kıcıman with:
Emre Kıcıman United States
Maria Liakata United Kingdom
Brian Keegan United States
Yi Mou China
Blanka Klímová Czechia
Douglas J. Gillan United States
Kevin Bretonnel Cohen United States
Ig Ibert Bittencourt Brazil
Krishnaprasad Thirunarayan United States
Florence Martin United States
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Citations per field
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Citations per year

Countries citing papers authored by Aaron Elkins

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Elkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machines as teammates: A research agenda on AI in team collaboration
Hit paper breakdown →
2019379
2 2011183
3 2016162
4 2015144
5 2020106
6 201380
7 201560
8 201958
9 201655
10 202052
11 201351
12 201640
13 201034
14 201527
15 201624
16 201822
17 201420
18 202018
19 201918
20 202217

About Aaron Elkins

Aaron Elkins is a scholar working on Social Psychology, Information Systems, Artificial Intelligence, Molecular Biology and Pharmacology, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Deception detection and forensic psychology (14 papers), Cannabis and Cannabinoid Research (7 papers), Information and Cyber Security (7 papers), Misinformation and Its Impacts (5 papers), Hate Speech and Cyberbullying Detection (4 papers), Cybercrime and Law Enforcement Studies (4 papers), Authorship Attribution and Profiling (3 papers) and Forensic Toxicology and Drug Analysis (3 papers). The work is most often cited by research in Health Informatics (39 citations), Social Psychology (439 citations), Safety Research (138 citations), Experimental and Cognitive Psychology (183 citations) and Artificial Intelligence (433 citations). Aaron Elkins has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Douglas C. Derrick, Judee K. Burgoon, Simone Rochfort, Jay F. Nunamaker, Myrna A. Deseo, Vilnis Ezernieks, Mark Patton, Germán Spangenberg, Ronald Maier and Gert‐Jan de Vreede. Their work appears in journals such as Molecules, Journal of Management Information Systems, Food Chemistry, IEEE Intelligent Systems and Plants.

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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