Jeffrey M. Rudski
- Social Psychology top 10%
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience
- Endocrine and Autonomic Systems top 10%
- General Decision Sciences top 5%
- Co-authors
- Charles J. BillingtonAllen S. LevineMartha K. GraceKenneth R. GrahamMichael A. KuskowskiEric SmithTravis ThompsonDavid W. Schaal
- Topics
- Paranormal Experiences and Beliefs (8 papers)Neurotransmitter Receptor Influence on Behavior (8 papers)Decision-Making and Behavioral Economics (6 papers)
- Partner nations
- United StatesAustralia
In The Last Decade
Jeffrey M. Rudski
32 papers receiving 488 citations
Peers
Comparison fields: 5 of 97
- Social Psychology 169
- Cellular and Molecular Neuroscience 119
- Cognitive Neuroscience 103
- Endocrine and Autonomic Systems 85
- General Decision Sciences 71
Countries citing papers authored by Jeffrey M. Rudski
This map shows the geographic impact of Jeffrey M. Rudski'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 Jeffrey M. Rudski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey M. Rudski more than expected).
Fields of papers citing papers by Jeffrey M. Rudski
This network shows the impact of papers produced by Jeffrey M. Rudski. 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 Jeffrey M. Rudski. The network helps show where Jeffrey M. Rudski may publish in the future.
Co-authorship network of co-authors of Jeffrey M. Rudski
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Rudski. A scholar is included among the top collaborators of Jeffrey M. Rudski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey M. Rudski. Jeffrey M. Rudski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 22 | |
| 4 | Would You Rather Be Injured by Lightning or a Downed Power Line? Preference for Natural Hazards [FULL TEXT] | 11 |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 21 | |
| 8 | 50 | |
| 9 | 2 | |
| 10 | 19 | |
| 11 | 31 | |
| 12 | 20 | |
| 13 | 22 | |
| 14 | 33 | |
| 15 | 29 | |
| 16 | 16 | |
| 17 | 16 | |
| 18 | 4 | |
| 19 | 54 | |
| 20 | 12 |
About Jeffrey M. Rudski
Jeffrey M. Rudski is a scholar working on General Decision Sciences, General Psychology and Applied Psychology, having authored 34 papers that have together received 532 indexed citations. Recurring topics across this work include Paranormal Experiences and Beliefs (8 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Decision-Making and Behavioral Economics (6 papers). The work is most often cited by research in General Decision Sciences (71 citations), Endocrine and Autonomic Systems (85 citations) and Applied Psychology (57 citations). Jeffrey M. Rudski has collaborated with scholars based in United States and Australia. Frequent co-authors include Charles J. Billington, Allen S. Levine, Martha K. Grace, Kenneth R. Graham, Michael A. Kuskowski, Eric Smith, Travis Thompson, David W. Schaal, James Cleary and A. S. Levine. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Archives of Sexual Behavior and Psychological Reports.
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.