Ben Adlam
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Transportation top 10%
Papers in ⓘ
-
- COVID-19 epidemiological studies 3
-
- Random Matrices and Applications 2
- Co-authors
- Martin A. Nowak (5 shared papers)Anjalika Nande (3 shared papers)Alison L. Hill (3 shared papers)Krishnendu Chatterjee (3 shared papers)Charleston Noble (1 shared paper)Kevin M. Esvelt (1 shared paper)George M. Church (1 shared paper)Samuel V. Scarpino (2 shared papers)
- Journals
- Scientific Reports (2 papers)PLoS Computational Biology (2 papers)Nature Medicine (1 paper)Nature Communications (1 paper)Mathematical Programming (1 paper)
- Partner nations
- United StatesAustriaEcuador
In The Last Decade
Ben Adlam
12 papers receiving 512 citations
Peers
Comparison fields: 5 of 110
- Modeling and Simulation 165
- Transportation 35
- Genetics 120
- Insect Science 50
- Health 29
Countries citing papers authored by Ben Adlam
This map shows the geographic impact of Ben Adlam'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 Ben Adlam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Adlam more than expected).
Fields of papers citing papers by Ben Adlam
This network shows the impact of papers produced by Ben Adlam. 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 Ben Adlam. The network helps show where Ben Adlam may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Adlam, 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 | 2020 | 173 | |
| 2 | 2018 | 102 | |
| 3 | 2021 | 58 | |
| 4 | 2021 | 56 | |
| 5 | 2015 | 44 | |
| 6 | 2014 | 29 | |
| 7 | 2014 | 21 | |
| 8 | 2020 | 10 | |
| 9 | Overparameterization Improves Robustness to Covariate Shift in High Dimensions | 2021 | 8 |
| 10 | 2015 | 6 | |
| 11 | Finite Versus Infinite Neural Networks: an Empirical Study | 2020 | 5 |
| 12 | 2020 | 5 | |
| 13 | A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions | 2019 | 1 |
| 14 | 2024 | 0 |
About Ben Adlam
Ben Adlam is a scholar working on Modeling and Simulation, Statistics and Probability, Genetics, Artificial Intelligence and Sociology and Political Science, having authored 14 papers that have together received 518 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (5 papers), Evolutionary Game Theory and Cooperation (4 papers), COVID-19 epidemiological studies (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Random Matrices and Applications (2 papers), Machine Learning and Data Classification (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Modeling and Simulation (165 citations), Transportation (35 citations), Genetics (120 citations), Insect Science (50 citations) and Health (29 citations). Ben Adlam has collaborated with scholars based in United States, Austria and Ecuador. Frequent co-authors include Martin A. Nowak, Anjalika Nande, Alison L. Hill, Krishnendu Chatterjee, Charleston Noble, Kevin M. Esvelt, George M. Church, Samuel V. Scarpino, Michael Z. Levy and David M. Pigott. Their work appears in journals such as Scientific Reports, PLoS Computational Biology, Nature Medicine, Nature Communications and Mathematical Programming.
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.