George Mohler
- Modeling and Simulation top 2%
- Applied Mathematics top 2%
- Point processes and geometric inequalities 9
- Health top 5%
- Gun Ownership and Violence Research 11
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- Crime Patterns and Interventions 30
- Crime, Illicit Activities, and Governance 5
- Transportation top 5%
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- Data-Driven Disease Surveillance 13
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- Complex Network Analysis Techniques 8
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- Policing Practices and Perceptions 6
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- Anomaly Detection Techniques and Applications 6
- Co-authors
- P. Jeffrey BrantinghamMartin B. ShortGeorge TitaJeremy G. CarterFrederic Paik SchoenbergAndrea L. BertozziDaniel SledgeCraig D. Uchida
- Journals
- SHILAP Revista de lepidopterología (2 papers)Journal of the American Statistical Association (2 papers)Journal of Computational Physics (1 paper)
- Partner nations
- United StatesQatarGermany
In The Last Decade
George Mohler
76 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Modeling and Simulation 166
- Applied Mathematics 288
- Health 214
- Sociology and Political Science 1.0k
- Transportation 143
Countries citing papers authored by George Mohler
This map shows the geographic impact of George Mohler'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 George Mohler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Mohler more than expected).
Fields of papers citing papers by George Mohler
This network shows the impact of papers produced by George Mohler. 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 George Mohler. The network helps show where George Mohler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George Mohler, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 18 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 26 | |
| 13 | 2020 | 85 | |
| 14 | 2020 | 2 | |
| 15 | 2020 | 309 | |
| 16 | 2019 | 17 | |
| 17 | Learning convolution filters for inverse covariance estimation of neural network connectivity | 2014 | 1 |
| 18 | Self-Exciting Point Process Modeling of Crimebreakdown → | 2011 | 523 |
| 19 | 2011 | 16 | |
| 20 | 2008 | 4 |
About George Mohler
George Mohler is a scholar working on Health, Modeling and Simulation and Applied Mathematics, having authored 82 papers that have together received 2.2k indexed citations. Recurring topics across this work include Crime Patterns and Interventions (30 papers), Data-Driven Disease Surveillance (13 papers), Gun Ownership and Violence Research (11 papers), Point processes and geometric inequalities (9 papers), Complex Network Analysis Techniques (8 papers), Policing Practices and Perceptions (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Crime, Illicit Activities, and Governance (5 papers). The work is most often cited by research in Modeling and Simulation (166 citations), Applied Mathematics (288 citations) and Health (214 citations). George Mohler has collaborated with scholars based in United States, Qatar and Germany. Frequent co-authors include P. Jeffrey Brantingham, Martin B. Short, George Tita, Jeremy G. Carter, Frederic Paik Schoenberg, Andrea L. Bertozzi, Daniel Sledge, Craig D. Uchida, Mark Johnson and Bradley Ray. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Journal of Computational Physics.
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.