Christopher Amato

118 papers and 2.1k indexed citations i.

About

Christopher Amato is a scholar working on Artificial Intelligence, Sociology and Political Science and Law. According to data from OpenAlex, Christopher Amato has authored 118 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 38 papers in Sociology and Political Science and 18 papers in Law. Recurrent topics in Christopher Amato’s work include Reinforcement Learning in Robotics (34 papers), Legal Issues in South Africa (17 papers) and South African History and Culture (16 papers). Christopher Amato is often cited by papers focused on Reinforcement Learning in Robotics (34 papers), Legal Issues in South Africa (17 papers) and South African History and Culture (16 papers). Christopher Amato collaborates with scholars based in United States, South Africa and United Kingdom. Christopher Amato's co-authors include Frans A. Oliehoek, Shlomo Zilberstein, Jonathan P. How, Daniel S. Bernstein, George Konidaris, Leslie Pack Kaelbling, Shayegan Omidshafiei, Jilles Dibangoye, Ali‐akbar Agha‐mohammadi and Gabriel Cruz and has published in prestigious journals such as IEEE Access, The International Journal of Robotics Research and Urban Studies.

In The Last Decade

Co-authorship network of co-authors of Christopher Amato i

Fields of papers citing papers by Christopher Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Christopher Amato

Since Specialization
Citations

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).

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.

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