Jonathan H. Morgan
- Sociology and Political Science
- Statistical and Nonlinear Physics top 10%
- Social Psychology
- Artificial Intelligence
- Experimental and Cognitive Psychology
- Co-authors
- James MoodyJeffrey A. SmithTobias SchröderRalph E. SmithKimberly B. RogersFrank E. RitterJesse HoeyMeiyappan Nagappan
- Topics
- Opinion Dynamics and Social Influence (11 papers)Complex Network Analysis Techniques (7 papers)Evolutionary Game Theory and Cooperation (7 papers)
- Journals
- JNCI Journal of the National Cancer InstituteVirologyTechnological Forecasting and Social Change
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Jonathan H. Morgan
19 papers receiving 211 citations
Peers
Comparison fields: 5 of 85
- Sociology and Political Science 72
- Statistical and Nonlinear Physics 52
- Social Psychology 36
- Artificial Intelligence 31
- Experimental and Cognitive Psychology 19
Countries citing papers authored by Jonathan H. Morgan
This map shows the geographic impact of Jonathan H. Morgan'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 Jonathan H. Morgan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan H. Morgan more than expected).
Fields of papers citing papers by Jonathan H. Morgan
This network shows the impact of papers produced by Jonathan H. Morgan. 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 Jonathan H. Morgan. The network helps show where Jonathan H. Morgan may publish in the future.
Co-authorship network of co-authors of Jonathan H. Morgan
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan H. Morgan. A scholar is included among the top collaborators of Jonathan H. Morgan 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 Jonathan H. Morgan. Jonathan H. Morgan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 29 | |
| 6 | 2 | |
| 7 | 92 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | Modeling a Cognitively Limited Network in an Agent-Based Simulation | 0 |
| 11 | Socio-cognitive Networks: Modeling the Effects of Space and Memory on Generative Social Structures | 2 |
| 12 | 0 | |
| 13 | How to Run Experiments: A Practical Guide to Research with Human Participants | 0 |
| 14 | A Multi-Strategy Spatial Navigation Model in a Text-Based Environment | 2 |
| 15 | Building large learning models with herbal | 2 |
| 16 | 13 | |
| 17 | A Preliminary Model of Participation | 1 |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 16 |
About Jonathan H. Morgan
Jonathan H. Morgan is a scholar working on Statistical and Nonlinear Physics, General Social Sciences and Sociology and Political Science, having authored 24 papers that have together received 229 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (11 papers), Complex Network Analysis Techniques (7 papers) and Evolutionary Game Theory and Cooperation (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (52 citations), Computer Science Applications (14 citations) and Social Psychology (36 citations). Jonathan H. Morgan has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include James Moody, Jeffrey A. Smith, Tobias Schröder, Ralph E. Smith, Kimberly B. Rogers, Frank E. Ritter, Jesse Hoey, Meiyappan Nagappan, J. Thomas Parsons and R E Smith. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Virology and Technological Forecasting and Social Change.
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.