Abram Kagan
Impact in
- Statistics and Probability top 1%
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Mathematical Physics top 5%
- advanced mathematical theories
Papers in
-
- Statistical Methods and Inference 13
- Advanced Statistical Methods and Models 11
- Statistical Distribution Estimation and Applications 11
- Random Matrices and Applications 6
-
- advanced mathematical theories 6
- Co-authors
- Yu. V. LinnikR. BremananthC. R. RaoJ. Keith OrdLawrence A. SheppC. Radhakrishna RaoPranab Kumar SenZinoviy Landsman
- Journals
- Journal of Statistical Planning and Inference (6 papers)Bernoulli (2 papers)The American Statistician (2 papers)Journal of Theoretical Probability (2 papers)Statistics & Probability Letters (11 papers)
- Partner nations
- United StatesIsraelRussia
In The Last Decade
Abram Kagan
46 papers receiving 655 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Statistics and Probability 369
- Mathematical Physics 133
- Management Science and Operations Research 143
- Finance 108
- Applied Mathematics 110
Countries citing papers authored by Abram Kagan
This map shows the geographic impact of Abram Kagan'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 Abram Kagan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abram Kagan more than expected).
Fields of papers citing papers by Abram Kagan
This network shows the impact of papers produced by Abram Kagan. 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 Abram Kagan. The network helps show where Abram Kagan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abram Kagan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 0 | |
| 2 | 2012 | 1 | |
| 3 | 2009 | 1 | |
| 4 | 2009 | 1 | |
| 5 | 2008 | 1 | |
| 6 | 2005 | 1 | |
| 7 | 2005 | 7 | |
| 8 | 2001 | 5 | |
| 9 | 2001 | 1 | |
| 10 | 2001 | 2 | |
| 11 | 1999 | 14 | |
| 12 | 1999 | 4 | |
| 13 | 1989 | 8 | |
| 14 | 1988 | 6 | |
| 15 | 1977 | 1 | |
| 16 | An invariant detection of signal by a monopulse radar receiver | 1976 | 1 |
| 17 | 1975 | 81 | |
| 18 | Characterization Problems in Mathematical Statistics. Hit paper breakdown → | 1975 | 413 |
| 19 | 1969 | 1 | |
| 20 | 1967 | 2 |
About Abram Kagan
Abram Kagan is a scholar working on Statistics and Probability, Mathematical Physics, Applied Mathematics, Management Science and Operations Research and Discrete Mathematics and Combinatorics, having authored 61 papers that have together received 776 indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (11 papers), Advanced Statistical Methods and Models (11 papers), Statistical Distribution Estimation and Applications (11 papers), Distributed Sensor Networks and Detection Algorithms (7 papers), Random Matrices and Applications (6 papers), advanced mathematical theories (6 papers) and Statistical Mechanics and Entropy (6 papers). The work is most often cited by research in Statistics and Probability (369 citations), Mathematical Physics (133 citations), Management Science and Operations Research (143 citations), Finance (108 citations) and Applied Mathematics (110 citations). Abram Kagan has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include Yu. V. Linnik, R. Bremananth, C. R. Rao, J. Keith Ord, Lawrence A. Shepp, C. Radhakrishna Rao, Pranab Kumar Sen, Zinoviy Landsman, Christian Houdré and K. V. Mardia. Their work appears in journals such as Journal of Statistical Planning and Inference, Bernoulli, The American Statistician, Journal of Theoretical Probability and Statistics & Probability Letters.
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.