Christopher Amato
- Urban Studies top 0.5%
- Urban and Rural Development Challenges 10
- Artificial Intelligence top 1%
- Reinforcement Learning in Robotics 45
- Bayesian Modeling and Causal Inference 13
- Law top 0.5%
- Legal Issues in South Africa 18
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- South African History and Culture 17
- Urban, Neighborhood, and Segregation Studies 11
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- Land Rights and Reforms 11
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- Formal Methods in Verification 9
- Co-authors
- Frans A. OliehoekJonathan P. HowShlomo ZilbersteinJohn VianGirish ChowdharyMykel J. KochenderferShayegan OmidshafieiPedro A. Torres‐Carrasquillo
- Journals
- South African Geographical Journal (12 papers)Journal of Historical Geography (5 papers)Land Use Policy (5 papers)
- Partner nations
- United StatesSouth AfricaMexico
In The Last Decade
Christopher Amato
133 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Urban Studies 324
- Artificial Intelligence 1.3k
- Computer Networks and Communications 532
- Law 185
- Control and Systems Engineering 420
Countries citing papers authored by Christopher Amato
This map shows the geographic impact of Christopher Amato'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 Christopher Amato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Amato more than expected).
Fields of papers citing papers by Christopher Amato
This network shows the impact of papers produced by Christopher Amato. 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 Christopher Amato. The network helps show where Christopher Amato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher Amato, 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 | 0 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 6 | |
| 6 | 2021 | 0 | |
| 7 | Macro-Action-Based Deep Multi-Agent Reinforcement Learning | 2020 | 1 |
| 8 | 2019 | 36 | |
| 9 | Efficient Eligibility Traces for Deep Reinforcement Learning. | 2018 | 1 |
| 10 | Deep Decentralized Multi-task Multi-Agent RL under Partial Observability | 2017 | 6 |
| 11 | Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs | 2016 | 2 |
| 12 | 2014 | 38 | |
| 13 | Optimally solving Dec-POMDPs as continuous-state MDPs | 2013 | 9 |
| 14 | Scaling up decentralized MDPs through heuristic search | 2012 | 2 |
| 15 | 2011 | 30 | |
| 16 | 2010 | 21 | |
| 17 | 2006 | 7 | |
| 18 | Managing the Drawdown's Human Side | 1997 | 1 |
| 19 | 1996 | 3 | |
| 20 | 1994 | 10 |
About Christopher Amato
Christopher Amato is a scholar working on Urban Studies, Law and Archeology, having authored 144 papers that have together received 3.1k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (45 papers), Legal Issues in South Africa (18 papers), South African History and Culture (17 papers), Bayesian Modeling and Causal Inference (13 papers), Land Rights and Reforms (11 papers), Urban, Neighborhood, and Segregation Studies (11 papers), Urban and Rural Development Challenges (10 papers) and Formal Methods in Verification (9 papers). The work is most often cited by research in Urban Studies (324 citations), Artificial Intelligence (1.3k citations) and Computer Networks and Communications (532 citations). Christopher Amato has collaborated with scholars based in United States, South Africa and Mexico. Frequent co-authors include Frans A. Oliehoek, Jonathan P. How, Shlomo Zilberstein, John Vian, Girish Chowdhary, Mykel J. Kochenderfer, Shayegan Omidshafiei, Pedro A. Torres‐Carrasquillo, Hayley J. Davison Reynolds and Leslie Pack Kaelbling. Their work appears in journals such as South African Geographical Journal, Journal of Historical Geography, Land Use Policy, Journal of Artificial Intelligence Research and Urban Studies.
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.