Laszlo Engelman
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
Papers in
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- Advanced Statistical Methods and Models 4
- Statistical Methods and Inference 1
-
- Spectroscopy and Chemometric Analyses 2
- Co-authors
- John A. Hartigan (2 shared papers)September Cahue (1 shared paper)Leena Sharma (1 shared paper)David T. Felson (1 shared paper)Sachiyo Tanaka (1 shared paper)Dan Nemet (1 shared paper)Dan Michael Cooper (1 shared paper)Ping Wang (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 438 citations
Peers
Comparison fields: 5 of 108
- Statistics and Probability 68
- Endocrine and Autonomic Systems 31
- Epidemiology 111
- Physiology 81
- Orthopedics and Sports Medicine 25
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 | 134 | |
| 3 | 1969 | 119 | |
| 4 | 1969 | 32 | |
| 5 | 1973 | 29 | |
| 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, Analytical Chemistry, Management Science and Operations Research, Biochemistry and Geometry and Topology, having authored 9 papers that have together received 492 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Optimal Experimental Design Methods (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Lipid metabolism and biosynthesis (1 paper), Soil Geostatistics and Mapping (1 paper), Statistical Methods and Inference (1 paper), Morphological variations and asymmetry (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). The work is most often cited by research in Statistics and Probability (68 citations), Endocrine and Autonomic Systems (31 citations), Epidemiology (111 citations), Physiology (81 citations) and Orthopedics and Sports Medicine (25 citations). Laszlo Engelman has collaborated with scholars based in United States and Japan. Frequent co-authors include John A. Hartigan, September Cahue, Leena Sharma, David T. Felson, Sachiyo Tanaka, Dan Nemet, Dan Michael Cooper, Ping Wang, Tohru Funahashi 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.