Michael Laskin
Impact in
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- Economic and Technological Systems Analysis
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- Stochastic processes and financial applications
Papers in
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- Traffic control and management 4
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- Economic and Technological Systems Analysis 7
- Co-authors
- Pieter Abbeel (3 shared papers)Lerrel Pinto (2 shared papers)Kimin Lee (1 shared paper)E. David Morgan (1 shared paper)Ryan C. Moffet (1 shared paper)Hao Liu (1 shared paper)Jay M. Tomlin (1 shared paper)Kevin Lü (1 shared paper)
- Journals
- Aerosol Science and Technology (1 paper)Value in Health (1 paper)Mathematics (1 paper)SHILAP Revista de lepidopterología (6 papers)International Journal of Simulation and Process Modelling (2 papers)
- Partner nations
- RussiaUnited StatesSlovakia
In The Last Decade
Michael Laskin
18 papers receiving 40 citations
Peers
Comparison fields: 5 of 37
- Management of Technology and Innovation 7
- Finance 6
- Development 2
- Discrete Mathematics and Combinatorics 1
- Artificial Intelligence 10
Countries citing papers authored by Michael Laskin
This map shows the geographic impact of Michael Laskin'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 Michael Laskin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Laskin more than expected).
Fields of papers citing papers by Michael Laskin
This network shows the impact of papers produced by Michael Laskin. 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 Michael Laskin. The network helps show where Michael Laskin may publish in the future.
Co-authors
The 14 scholars most cited alongside Michael Laskin, 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 | 2021 | 7 | |
| 2 | 2022 | 6 | |
| 3 | 2023 | 5 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 3 | |
| 6 | 1998 | 2 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 2 | |
| 9 | 2016 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2016 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2020 | 1 | |
| 15 | CURL: Contrastive Unsupervised Representation Learning for Reinforcement Learning | 2020 | 1 |
| 16 | 2020 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2018 | 1 |
About Michael Laskin
Michael Laskin is a scholar working on Control and Systems Engineering, Management of Technology and Innovation, Transportation, Economics and Econometrics and Civil and Structural Engineering, having authored 29 papers that have together received 43 indexed citations. Recurring topics across this work include Economic and Technological Systems Analysis (7 papers), Transportation Systems and Logistics (5 papers), Transportation Planning and Optimization (5 papers), Stochastic processes and financial applications (4 papers), Traffic control and management (4 papers), Reinforcement Learning in Robotics (3 papers), Urban Transport Systems Analysis (2 papers) and Environmental Sustainability and Technology (2 papers). The work is most often cited by research in Management of Technology and Innovation (7 citations), Finance (6 citations), Development (2 citations), Discrete Mathematics and Combinatorics (1 citation) and Artificial Intelligence (10 citations). Michael Laskin has collaborated with scholars based in Russia, United States and Slovakia. Frequent co-authors include Pieter Abbeel, Lerrel Pinto, Kimin Lee, E. David Morgan, Ryan C. Moffet, Hao Liu, Jay M. Tomlin, Kevin Lü, Matthew Fraund and Ruihan Zhao. Their work appears in journals such as Aerosol Science and Technology, Value in Health, Mathematics, SHILAP Revista de lepidopterología and International Journal of Simulation and Process Modelling.
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.