Kevin Schultz

22 papers receiving 236 citations

Peers

Kevin Schultz
Comparison fields: 5 of 70
  • History 31
  • Ecology, Evolution, Behavior and Systematics 51
  • Artificial Intelligence 75
  • Political Science and International Relations 44
  • Developmental Biology 4
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Rémi Lefebvre France
Chico Q. Camargo United Kingdom
Enys Mones Hungary
Ian G. Stewart United Kingdom
Robert Fox United States
Jorge Peña Switzerland
Thomas Bose United Kingdom
Edgar A. Duéñez‐Guzmán United States
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Countries citing papers authored by Kevin Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200866
2
Tri-Faith America: How Catholics and Jews Held Postwar America to Its Protestant Promise
201139
3 202330
4 202022
5 201019
6 200618
7 201315
8 202215
9 202112
10
On Optimizing Command and Control Structures
20118
11 20217
12 20195
13 20215
14 20194
15 20224
16 20113
17 20073
18 20243
19
Distributed Agreement: Swarm Guidance to Cooperative Lighting
20092
20 20232

About Kevin Schultz

Kevin Schultz is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, History, Political Science and International Relations and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 284 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Quantum and electron transport phenomena (4 papers), Quantum Computing Algorithms and Architecture (4 papers), Memory and Neural Mechanisms (3 papers), American Constitutional Law and Politics (3 papers), Neural dynamics and brain function (3 papers), Religion and Society Interactions (2 papers) and Catholicism and Religious Studies (2 papers). The work is most often cited by research in History (31 citations), Ecology, Evolution, Behavior and Systematics (51 citations), Artificial Intelligence (75 citations), Political Science and International Relations (44 citations) and Developmental Biology (4 citations). Kevin Schultz has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Kevin M. Passino, Thomas D. Seeley, Gregory Quiroz, Paul Harvey, Joseph D. Monaco, Grace M. Hwang, Kechen Zhang, Zeyuan Zhou, Antonio Tessitore and B. D. Clader. Their work appears in journals such as Physical review. A, Physical Review Applied, Array, Journal of Experimental Biology and International Journal of Sports Physiology and Performance.

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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