Masoud Asgharian
- Statistics and Probability top 1%
- Psychiatry and Mental health top 5%
- Artificial Intelligence top 10%
- Physiology
- Economics and Econometrics top 10%
- Co-authors
- David B. WolfsonCyr Emile M’lanKenneth RockwoodTruls ØstbyeDavid B. HoganChristina WolfsonMarco CaroneXun Zhang
- Topics
- Statistical Methods and Inference (19 papers)Statistical Methods and Bayesian Inference (13 papers)Bayesian Methods and Mixture Models (8 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
Masoud Asgharian
26 papers receiving 914 citations
Peers
Comparison fields: 5 of 134
- Statistics and Probability 459
- Psychiatry and Mental health 201
- Artificial Intelligence 128
- Physiology 111
- Economics and Econometrics 102
Countries citing papers authored by Masoud Asgharian
This map shows the geographic impact of Masoud Asgharian'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 Masoud Asgharian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masoud Asgharian more than expected).
Fields of papers citing papers by Masoud Asgharian
This network shows the impact of papers produced by Masoud Asgharian. 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 Masoud Asgharian. The network helps show where Masoud Asgharian may publish in the future.
Co-authorship network of co-authors of Masoud Asgharian
This figure shows the co-authorship network connecting the top 25 collaborators of Masoud Asgharian. A scholar is included among the top collaborators of Masoud Asgharian 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 Masoud Asgharian. Masoud Asgharian 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 | 3 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 28 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 60 | |
| 12 | 26 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 33 | |
| 17 | 51 | |
| 18 | 86 | |
| 19 | 160 | |
| 20 | 405 |
About Masoud Asgharian
Masoud Asgharian is a scholar working on Statistics and Probability, Artificial Intelligence and Demography, having authored 29 papers that have together received 952 indexed citations. Recurring topics across this work include Statistical Methods and Inference (19 papers), Statistical Methods and Bayesian Inference (13 papers) and Bayesian Methods and Mixture Models (8 papers). The work is most often cited by research in Statistics and Probability (459 citations), Geriatrics and Gerontology (83 citations) and Psychiatry and Mental health (201 citations). Masoud Asgharian has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include David B. Wolfson, Cyr Emile M’lan, Kenneth Rockwood, Truls Østbye, David B. Hogan, Christina Wolfson, Marco Carone, Xun Zhang, Ashkan Ertefaie and David A. Stephens. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.