Eric Perlman
Impact in
- Computational Mechanics top 2%
- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics and Vibration Analysis
- Environmental Engineering top 10%
- Wind and Air Flow Studies
Papers in
-
- Scientific Computing and Data Management 5
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- Advanced Data Storage Technologies 4
- Distributed and Parallel Computing Systems 2
- Co-authors
- Randal Burns (8 shared papers)Charles Meneveau (4 shared papers)Alexander S. Szalay (5 shared papers)Gregory L. Eyink (2 shared papers)Yi Li (1 shared paper)Shiyi Chen (1 shared paper)Minping Wan (1 shared paper)Li Yi (1 shared paper)
- Journals
- Journal of Hydrologic Engineering (2 papers)Microscopy and Microanalysis (2 papers)Journal of Turbulence (2 papers)Frontiers in Neuroinformatics (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Eric Perlman
12 papers receiving 722 citations
Peers
Comparison fields: 5 of 86
- Computational Mechanics 462
- Environmental Engineering 134
- Statistical and Nonlinear Physics 111
- Computer Graphics and Computer-Aided Design 29
- Ocean Engineering 101
Countries citing papers authored by Eric Perlman
This map shows the geographic impact of Eric Perlman'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 Eric Perlman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Perlman more than expected).
Fields of papers citing papers by Eric Perlman
This network shows the impact of papers produced by Eric Perlman. 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 Eric Perlman. The network helps show where Eric Perlman may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Perlman, 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 | 2008 | 430 | |
| 2 | 2007 | 167 | |
| 3 | 2012 | 58 | |
| 4 | 2013 | 27 | |
| 5 | 2022 | 24 | |
| 6 | 2014 | 15 | |
| 7 | 2010 | 9 | |
| 8 | 2008 | 8 | |
| 9 | 2018 | 5 | |
| 10 | 2011 | 5 | |
| 11 | 2019 | 3 | |
| 12 | 2015 | 1 | |
| 13 | 2014 | 0 | |
| 14 | 2016 | 0 |
About Eric Perlman
Eric Perlman is a scholar working on Information Systems and Management, Computer Networks and Communications, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 14 papers that have together received 752 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (5 papers), Advanced Data Storage Technologies (4 papers), Data Management and Algorithms (2 papers), Distributed and Parallel Computing Systems (2 papers), Meteorological Phenomena and Simulations (2 papers), Fluid Dynamics and Turbulent Flows (2 papers), Plant Water Relations and Carbon Dynamics (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Computational Mechanics (462 citations), Environmental Engineering (134 citations), Statistical and Nonlinear Physics (111 citations), Computer Graphics and Computer-Aided Design (29 citations) and Ocean Engineering (101 citations). Eric Perlman has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Randal Burns, Charles Meneveau, Alexander S. Szalay, Gregory L. Eyink, Yi Li, Shiyi Chen, Minping Wan, Li Yi, Kalin Kanov and Huidan Yu. Their work appears in journals such as Journal of Hydrologic Engineering, Microscopy and Microanalysis, Journal of Turbulence, Frontiers in Neuroinformatics and Current Biology.
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.