Mark J. Meyer
Impact in
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- Optimization and Packing Problems
- Advanced Manufacturing and Logistics Optimization
Papers in ⓘ
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- COVID-19 epidemiological studies 2
- Co-authors
- Hermann Gehring (1 shared paper)Brent A. Coull (5 shared papers)John D. Kraemer (4 shared papers)Paul M. Cinciripini (1 shared paper)DonnaMaria E. Cortezzo (1 shared paper)Francesco Versace (1 shared paper)Jeffrey S. Morris (1 shared paper)Emily Wong (1 shared paper)
- Journals
- Scientific Reports (1 paper)Journal of Wildlife Management (1 paper)The Annals of Applied Statistics (1 paper)Nature (1 paper)PEDIATRICS (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Mark J. Meyer
27 papers receiving 438 citations
Peers
Comparison fields: 5 of 110
- Industrial and Manufacturing Engineering 102
- Computer Graphics and Computer-Aided Design 27
- Modeling and Simulation 28
- Health 48
- Obstetrics and Gynecology 36
Countries citing papers authored by Mark J. Meyer
This map shows the geographic impact of Mark J. Meyer'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 Mark J. Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Meyer more than expected).
Fields of papers citing papers by Mark J. Meyer
This network shows the impact of papers produced by Mark J. Meyer. 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 Mark J. Meyer. The network helps show where Mark J. Meyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark J. Meyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 118 | |
| 2 | 1990 | 106 | |
| 3 | 2017 | 43 | |
| 4 | 2015 | 41 | |
| 5 | 2017 | 27 | |
| 6 | 2021 | 26 | |
| 7 | 2015 | 19 | |
| 8 | 2020 | 16 | |
| 9 | 2016 | 11 | |
| 10 | 2019 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2008 | 4 | |
| 14 | 2017 | 4 | |
| 15 | 1996 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2008 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 2 |
About Mark J. Meyer
Mark J. Meyer is a scholar working on Developmental Biology, Modeling and Simulation, Statistics and Probability, Gastroenterology and Speech and Hearing, having authored 29 papers that have together received 458 indexed citations. Recurring topics across this work include Pediatric Pain Management Techniques (3 papers), Primate Behavior and Ecology (2 papers), Statistical Methods and Inference (2 papers), Bayesian Methods and Mixture Models (2 papers), Travel-related health issues (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 epidemiological studies (2 papers) and Cardiac Arrest and Resuscitation (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (102 citations), Computer Graphics and Computer-Aided Design (27 citations), Modeling and Simulation (28 citations), Health (48 citations) and Obstetrics and Gynecology (36 citations). Mark J. Meyer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Hermann Gehring, Brent A. Coull, John D. Kraemer, Paul M. Cinciripini, DonnaMaria E. Cortezzo, Francesco Versace, Jeffrey S. Morris, Emily Wong, Siphephelo Dlamini and Maryam Shahmanesh. Their work appears in journals such as Scientific Reports, Journal of Wildlife Management, The Annals of Applied Statistics, Nature and PEDIATRICS.
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.