Alec Koppel
Impact in
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- Advanced Bandit Algorithms Research
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- Distributed Control Multi-Agent Systems
- Distributed Sensor Networks and Detection Algorithms
Papers in
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- Stochastic Gradient Optimization Techniques 23
- Reinforcement Learning in Robotics 18
- Gaussian Processes and Bayesian Inference 17
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- Distributed Control Multi-Agent Systems 22
- Distributed Sensor Networks and Detection Algorithms 19
- Energy Efficient Wireless Sensor Networks 6
- Co-authors
- Alejandro Ribeiro (27 shared papers)Amrit Singh Bedi (31 shared papers)Aryan Mokhtari (10 shared papers)Geert J. T. Leus (6 shared papers)Andrea Simonetto (6 shared papers)Ketan Rajawat (17 shared papers)Brian M. Sadler (11 shared papers)Tamer Başar (5 shared papers)
- Journals
- IEEE Transactions on Signal Processing (12 papers)IEEE Transactions on Signal and Information Processing over Networks (3 papers)IEEE Transactions on Automatic Control (2 papers)SIAM Journal on Control and Optimization (2 papers)Signal Processing (1 paper)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Alec Koppel
73 papers receiving 872 citations
Peers
Comparison fields: 5 of 63
- Management Science and Operations Research 223
- Computer Networks and Communications 395
- Artificial Intelligence 399
- Numerical Analysis 62
- Computational Mechanics 214
Countries citing papers authored by Alec Koppel
This map shows the geographic impact of Alec Koppel'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 Alec Koppel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alec Koppel more than expected).
Fields of papers citing papers by Alec Koppel
This network shows the impact of papers produced by Alec Koppel. 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 Alec Koppel. The network helps show where Alec Koppel may publish in the future.
Co-authors
The 25 scholars most cited alongside Alec Koppel, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 124 | |
| 2 | 2015 | 122 | |
| 3 | 2020 | 58 | |
| 4 | 2017 | 57 | |
| 5 | 2018 | 43 | |
| 6 | 2020 | 33 | |
| 7 | 2023 | 26 | |
| 8 | 2019 | 25 | |
| 9 | 2019 | 20 | |
| 10 | 2016 | 17 | |
| 11 | 2014 | 16 | |
| 12 | 2022 | 16 | |
| 13 | 2015 | 14 | |
| 14 | 2017 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2016 | 12 | |
| 18 | 2017 | 12 | |
| 19 | 2018 | 12 | |
| 20 | 2019 | 12 |
About Alec Koppel
Alec Koppel is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Computational Mechanics and Computational Theory and Mathematics, having authored 85 papers that have together received 882 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (28 papers), Advanced Bandit Algorithms Research (24 papers), Stochastic Gradient Optimization Techniques (23 papers), Distributed Control Multi-Agent Systems (22 papers), Distributed Sensor Networks and Detection Algorithms (19 papers), Reinforcement Learning in Robotics (18 papers), Gaussian Processes and Bayesian Inference (17 papers) and Energy Efficient Wireless Sensor Networks (6 papers). The work is most often cited by research in Management Science and Operations Research (223 citations), Computer Networks and Communications (395 citations), Artificial Intelligence (399 citations), Numerical Analysis (62 citations) and Computational Mechanics (214 citations). Alec Koppel has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Alejandro Ribeiro, Amrit Singh Bedi, Aryan Mokhtari, Geert J. T. Leus, Andrea Simonetto, Ketan Rajawat, Brian M. Sadler, Tamer Başar, Kaiqing Zhang and Ethan Stump. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Signal and Information Processing over Networks, IEEE Transactions on Automatic Control, SIAM Journal on Control and Optimization and Signal Processing.
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.