Jane L. Adams
- Cognitive Neuroscience top 5%
- Psychiatry and Mental health top 10%
- Sociology and Political Science
- Artificial Intelligence
- Social Psychology
- Co-authors
- Paul G. NestorMartha E. ShentonSteven F. FauxRobert W. McCarleyChristopher M. DanforthPeter Sheridan DoddsThayer AlshaabiScott Smith
- Topics
- Misinformation and Its Impacts (4 papers)Complex Network Analysis Techniques (3 papers)Social Media and Politics (2 papers)
- Partner nations
- United StatesMexicoAustria
In The Last Decade
Jane L. Adams
16 papers receiving 443 citations
Peers
Comparison fields: 5 of 92
- Cognitive Neuroscience 262
- Psychiatry and Mental health 105
- Sociology and Political Science 58
- Artificial Intelligence 41
- Social Psychology 35
Countries citing papers authored by Jane L. Adams
This map shows the geographic impact of Jane L. Adams'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 Jane L. Adams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane L. Adams more than expected).
Fields of papers citing papers by Jane L. Adams
This network shows the impact of papers produced by Jane L. Adams. 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 Jane L. Adams. The network helps show where Jane L. Adams may publish in the future.
Co-authorship network of co-authors of Jane L. Adams
This figure shows the co-authorship network connecting the top 25 collaborators of Jane L. Adams. A scholar is included among the top collaborators of Jane L. Adams 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 Jane L. Adams. Jane L. Adams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 20 | |
| 5 | 5 | |
| 6 | 14 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 30 | |
| 10 | 27 | |
| 11 | 22 | |
| 12 | 11 | |
| 13 | 63 | |
| 14 | 217 | |
| 15 | 10 | |
| 16 | The principles of “complementarity,” “cooperativity,” and “adaptive error control” in pattern learning and recognition: a physiological neural network model tested by computer-simulation | 1 |
| 17 | 3 | |
| 18 | An education curriculum for the moderately, severely, and profoundly mentally handicapped pupil | 1 |
About Jane L. Adams
Jane L. Adams is a scholar working on Communication, Applied Psychology and General Social Sciences, having authored 18 papers that have together received 466 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (4 papers), Complex Network Analysis Techniques (3 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Cognitive Neuroscience (262 citations), Psychiatry and Mental health (105 citations) and Communication (32 citations). Jane L. Adams has collaborated with scholars based in United States, Mexico and Austria. Frequent co-authors include Paul G. Nestor, Martha E. Shenton, Steven F. Faux, Robert W. McCarley, Christopher M. Danforth, Peter Sheridan Dodds, Thayer Alshaabi, Scott Smith, Andrew J. Reagan and K. Sebastian Schmidt. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Science Advances.
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.