Elliot Meyerson
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Modeling and Simulation
- Computational Theory and Mathematics
- Control and Systems Engineering
- Co-authors
- Risto MiikkulainenJason LiangBabak HodjatJoel LehmanOlivier FranconXin QiuMark HollenbeckAmy K. Hoover
- Topics
- Artificial Intelligence in Games (4 papers)Metaheuristic Optimization Algorithms Research (4 papers)Evolutionary Algorithms and Applications (4 papers)
- Journals
- Nucleic Acids ResearcharXiv (Cornell University)PubMed Central
- Partner nations
- United StatesIndiaDenmark
In The Last Decade
Elliot Meyerson
15 papers receiving 210 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 159
- Computer Vision and Pattern Recognition 36
- Modeling and Simulation 17
- Computational Theory and Mathematics 12
- Control and Systems Engineering 11
Countries citing papers authored by Elliot Meyerson
This map shows the geographic impact of Elliot Meyerson'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 Elliot Meyerson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elliot Meyerson more than expected).
Fields of papers citing papers by Elliot Meyerson
This network shows the impact of papers produced by Elliot Meyerson. 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 Elliot Meyerson. The network helps show where Elliot Meyerson may publish in the future.
Co-authorship network of co-authors of Elliot Meyerson
This figure shows the co-authorship network connecting the top 25 collaborators of Elliot Meyerson. A scholar is included among the top collaborators of Elliot Meyerson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elliot Meyerson. Elliot Meyerson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 2 | |
| 5 | The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings | 2 |
| 6 | 23 | |
| 7 | 2 | |
| 8 | From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic. | 2 |
| 9 | 64 | |
| 10 | Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back | 5 |
| 11 | 59 | |
| 12 | 8 | |
| 13 | 9 | |
| 14 | 19 | |
| 15 | 1 |
About Elliot Meyerson
Elliot Meyerson is a scholar working on Modeling and Simulation, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 15 papers that have together received 216 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (159 citations), Modeling and Simulation (17 citations) and Computer Vision and Pattern Recognition (36 citations). Elliot Meyerson has collaborated with scholars based in United States, India and Denmark. Frequent co-authors include Risto Miikkulainen, Jason Liang, Babak Hodjat, Joel Lehman, Olivier Francon, Xin Qiu, Mark Hollenbeck, Amy K. Hoover, Mark Nelson and Andrew M. Dai. Their work appears in journals such as Nucleic Acids Research, arXiv (Cornell University) and PubMed Central.
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.