Howard J. Weiner
- Sociology and Political Science top 5%
- Social Psychology top 5%
- Cognitive Neuroscience top 10%
- General Decision Sciences top 2%
- Mathematical Physics top 5%
- Co-authors
- L. Ronald RossRichard E. NisbettNira Ben‐JonathanJohn C. PorterCharles OliverRenon S. MicalPaul D. HirshOrrin Devinsky
- Topics
- Stochastic processes and statistical mechanics (25 papers)Markov Chains and Monte Carlo Methods (10 papers)Theoretical and Computational Physics (9 papers)
- Journals
- Journal of the American Statistical AssociationEndocrinologyThe American Journal of Cardiology
- Partner nations
- United StatesAustralia
In The Last Decade
Howard J. Weiner
33 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Sociology and Political Science 310
- Social Psychology 225
- Cognitive Neuroscience 195
- General Decision Sciences 165
- Mathematical Physics 148
Countries citing papers authored by Howard J. Weiner
This map shows the geographic impact of Howard J. Weiner'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 Howard J. Weiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard J. Weiner more than expected).
Fields of papers citing papers by Howard J. Weiner
This network shows the impact of papers produced by Howard J. Weiner. 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 Howard J. Weiner. The network helps show where Howard J. Weiner may publish in the future.
Co-authorship network of co-authors of Howard J. Weiner
This figure shows the co-authorship network connecting the top 25 collaborators of Howard J. Weiner. A scholar is included among the top collaborators of Howard J. Weiner 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 Howard J. Weiner. Howard J. Weiner 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 | 79 | |
| 3 | 14 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 22 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 300 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 11 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 7 | |
| 19 | 28 | |
| 20 | 8 |
About Howard J. Weiner
Howard J. Weiner is a scholar working on Mathematical Physics, Statistics and Probability and General Arts and Humanities, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (25 papers), Markov Chains and Monte Carlo Methods (10 papers) and Theoretical and Computational Physics (9 papers). The work is most often cited by research in General Decision Sciences (165 citations), Behavioral Neuroscience (68 citations) and Mathematical Physics (148 citations). Howard J. Weiner has collaborated with scholars based in United States and Australia. Frequent co-authors include L. Ronald Ross, Richard E. Nisbett, Nira Ben‐Jonathan, John C. Porter, Charles Oliver, Renon S. Mical, Paul D. Hirsh, Orrin Devinsky, Ruben Kuzniecky and Blanca Vázquez. Their work appears in journals such as Journal of the American Statistical Association, Endocrinology and The American Journal of Cardiology.
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.