Laszlo Engelman
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
Papers in
-
- Advanced Statistical Methods and Models 4
- Statistical Methods and Bayesian Inference 1
- Co-authors
- J. A. Hartigan (2 shared papers)David T. Felson (1 shared paper)September Cahue (1 shared paper)Leena Sharma (1 shared paper)Tohru Funahashi (1 shared paper)Dan Nemet (1 shared paper)Ping Wang (1 shared paper)Sachiyo Tanaka (1 shared paper)
- Journals
- Journal of the American Statistical Association (3 papers)Nature (1 paper)Journal of Psychiatric Research (1 paper)Pediatric Research (1 paper)Communications in Statistics - Simulation and Computation (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Laszlo Engelman
8 papers receiving 417 citations
Peers
Comparison fields: 5 of 107
- Statistics and Probability 64
- Endocrine and Autonomic Systems 43
- Orthopedics and Sports Medicine 45
- Rheumatology 72
- Physiology 107
Countries citing papers authored by Laszlo Engelman
This map shows the geographic impact of Laszlo Engelman'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 Laszlo Engelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laszlo Engelman more than expected).
Fields of papers citing papers by Laszlo Engelman
This network shows the impact of papers produced by Laszlo Engelman. 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 Laszlo Engelman. The network helps show where Laszlo Engelman may publish in the future.
Co-authors
The 17 scholars most cited alongside Laszlo Engelman, 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 | 2003 | 161 | |
| 2 | 2000 | 125 | |
| 3 | 1969 | 107 | |
| 4 | 1973 | 27 | |
| 5 | 1969 | 27 | |
| 6 | 1967 | 9 | |
| 7 | 1971 | 6 | |
| 8 | 1974 | 2 | |
| 9 | 1982 | 0 |
About Laszlo Engelman
Laszlo Engelman is a scholar working on Statistics and Probability, Epidemiology, Management Science and Operations Research, Analytical Chemistry and Surgery, having authored 9 papers that have together received 464 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Spectroscopy and Chemometric Analyses (2 papers), Optimal Experimental Design Methods (2 papers), Diet, Metabolism, and Disease (1 paper), Image Processing and 3D Reconstruction (1 paper), Statistical Methods and Bayesian Inference (1 paper), Apelin-related biomedical research (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Statistics and Probability (64 citations), Endocrine and Autonomic Systems (43 citations), Orthopedics and Sports Medicine (45 citations), Rheumatology (72 citations) and Physiology (107 citations). Laszlo Engelman has collaborated with scholars based in United States and Japan. Frequent co-authors include J. A. Hartigan, David T. Felson, September Cahue, Leena Sharma, Tohru Funahashi, Dan Nemet, Ping Wang, Sachiyo Tanaka, Dan M. Cooper and Yūji Matsuzawa. Their work appears in journals such as Journal of the American Statistical Association, Nature, Journal of Psychiatric Research, Pediatric Research and Communications in Statistics - Simulation and Computation.
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.