Paul D. Feigin
- Neurology top 2%
- Statistics and Probability top 1%
- Finance top 2%
- Cellular and Molecular Neuroscience top 10%
- Economics and Econometrics top 5%
- Co-authors
- Richard L. TweedieOlivier RascolWerner PoeweWilliam LangstonAnthony E. LangJoseph JankovicFabrizio StocchiEldad Melamed
- Topics
- Statistical Methods and Inference (12 papers)Financial Risk and Volatility Modeling (12 papers)Bayesian Methods and Mixture Models (9 papers)
- Journals
- New England Journal of MedicineJournal of the American Statistical AssociationJournal of the American College of Cardiology
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Paul D. Feigin
66 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Neurology 471
- Statistics and Probability 342
- Finance 310
- Cellular and Molecular Neuroscience 212
- Economics and Econometrics 207
Countries citing papers authored by Paul D. Feigin
This map shows the geographic impact of Paul D. Feigin'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 Paul D. Feigin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul D. Feigin more than expected).
Fields of papers citing papers by Paul D. Feigin
This network shows the impact of papers produced by Paul D. Feigin. 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 Paul D. Feigin. The network helps show where Paul D. Feigin may publish in the future.
Co-authorship network of co-authors of Paul D. Feigin
This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Feigin. A scholar is included among the top collaborators of Paul D. Feigin 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 Paul D. Feigin. Paul D. Feigin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | A Double-Blind, Delayed-Start Trial of Rasagiline in Parkinson's Diseasebreakdown → | 587 |
| 4 | 54 | |
| 5 | 22 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 22 | |
| 10 | 39 | |
| 11 | 2 | |
| 12 | 20 | |
| 13 | 8 | |
| 14 | 149 | |
| 15 | 32 | |
| 16 | 16 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 27 | |
| 20 | 12 |
About Paul D. Feigin
Paul D. Feigin is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Financial Risk and Volatility Modeling (12 papers) and Bayesian Methods and Mixture Models (9 papers). The work is most often cited by research in Statistics and Probability (342 citations), Finance (310 citations) and Neurology (471 citations). Paul D. Feigin has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Richard L. Tweedie, Olivier Rascol, Werner Poewe, William Langston, Anthony E. Lang, Joseph Jankovic, Fabrizio Stocchi, Eldad Melamed, Robert A. Hauser and C. Warren Olanow. Their work appears in journals such as New England Journal of Medicine, Journal of the American Statistical Association and Journal of the American College 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.