Benjamin Pittman-Polletta
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Endocrine and Autonomic Systems top 10%
- Cardiology and Cardiovascular Medicine
- Economics and Econometrics
- Co-authors
- Kun HuNancy KopellFrank A. J. L. ScheerSteven A. SheaBernát KocsisMiles A. WhittingtonSujith VijayanMen‐Tzung Lo
- Topics
- Neural dynamics and brain function (11 papers)EEG and Brain-Computer Interfaces (3 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Benjamin Pittman-Polletta
15 papers receiving 357 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 222
- Cellular and Molecular Neuroscience 108
- Endocrine and Autonomic Systems 61
- Cardiology and Cardiovascular Medicine 51
- Economics and Econometrics 37
Countries citing papers authored by Benjamin Pittman-Polletta
This map shows the geographic impact of Benjamin Pittman-Polletta'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 Benjamin Pittman-Polletta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Pittman-Polletta more than expected).
Fields of papers citing papers by Benjamin Pittman-Polletta
This network shows the impact of papers produced by Benjamin Pittman-Polletta. 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 Benjamin Pittman-Polletta. The network helps show where Benjamin Pittman-Polletta may publish in the future.
Co-authorship network of co-authors of Benjamin Pittman-Polletta
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Pittman-Polletta. A scholar is included among the top collaborators of Benjamin Pittman-Polletta 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 Benjamin Pittman-Polletta. Benjamin Pittman-Polletta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 19 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | 20 | |
| 7 | 32 | |
| 8 | 54 | |
| 9 | 42 | |
| 10 | 23 | |
| 11 | 44 | |
| 12 | 52 | |
| 13 | 39 | |
| 14 | 5 | |
| 15 | Factorization in unitary loop groups and reduced words in affine Weyl groups | 1 |
About Benjamin Pittman-Polletta
Benjamin Pittman-Polletta is a scholar working on Discrete Mathematics and Combinatorics, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 15 papers that have together received 362 indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), EEG and Brain-Computer Interfaces (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (222 citations), Endocrine and Autonomic Systems (61 citations) and Cellular and Molecular Neuroscience (108 citations). Benjamin Pittman-Polletta has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Kun Hu, Nancy Kopell, Frank A. J. L. Scheer, Steven A. Shea, Bernát Kocsis, Miles A. Whittington, Sujith Vijayan, Men‐Tzung Lo, Matthew P. Butler and Satvinder Kaur. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific 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.