Kevin Schultz
Impact in
- History top 10%
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- Plant and animal studies
- Animal Behavior and Reproduction
Papers in
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- Quantum Information and Cryptography 7
- Quantum Computing Algorithms and Architecture 4
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- Quantum and electron transport phenomena 4
- Co-authors
- Kevin M. Passino (2 shared papers)Thomas D. Seeley (1 shared paper)Gregory Quiroz (7 shared papers)Paul Harvey (1 shared paper)Joseph D. Monaco (4 shared papers)Grace M. Hwang (5 shared papers)Kechen Zhang (4 shared papers)Zeyuan Zhou (1 shared paper)
- Journals
- Physical review. A (3 papers)American Quarterly (1 paper)Physical Review Letters (1 paper)Array (1 paper)Physical Review Applied (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Kevin Schultz
26 papers receiving 258 citations
Peers
Comparison fields: 5 of 72
- History 31
- Ecology, Evolution, Behavior and Systematics 53
- Artificial Intelligence 82
- Developmental Biology 4
- Orthopedics and Sports Medicine 14
Countries citing papers authored by Kevin Schultz
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
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.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 70 | |
| 2 | Tri-Faith America: How Catholics and Jews Held Postwar America to Its Protestant Promise | 2011 | 44 |
| 3 | 2023 | 34 | |
| 4 | 2020 | 23 | |
| 5 | 2010 | 20 | |
| 6 | 2006 | 20 | |
| 7 | 2022 | 16 | |
| 8 | 2013 | 15 | |
| 9 | 2021 | 12 | |
| 10 | On Optimizing Command and Control Structures | 2011 | 8 |
| 11 | 2021 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2007 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2011 | 3 | |
| 20 | Distributed Agreement: Swarm Guidance to Cooperative Lighting | 2009 | 2 |
About Kevin Schultz
Kevin Schultz is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience, History and Political Science and International Relations, having authored 27 papers that have together received 311 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Quantum Computing Algorithms and Architecture (4 papers), Neural dynamics and brain function (4 papers), Quantum and electron transport phenomena (4 papers), American Constitutional Law and Politics (3 papers), Memory and Neural Mechanisms (3 papers), Religion and Society Interactions (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in History (31 citations), Ecology, Evolution, Behavior and Systematics (53 citations), Artificial Intelligence (82 citations), Developmental Biology (4 citations) and Orthopedics and Sports Medicine (14 citations). Kevin Schultz has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Kevin M. Passino, Thomas D. Seeley, Gregory Quiroz, Paul Harvey, Joseph D. Monaco, Grace M. Hwang, Kechen Zhang, Zeyuan Zhou, Giancarlo Condello and Antonio Tessitore. Their work appears in journals such as Physical review. A, American Quarterly, Physical Review Letters, Array and Physical Review Applied.
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.