Jak Kirman

3 papers and 189 indexed citations i.

About

Jak Kirman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial relations. According to data from OpenAlex, Jak Kirman has authored 3 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computational Theory and Mathematics and 0 papers in Industrial relations. Recurrent topics in Jak Kirman’s work include AI-based Problem Solving and Planning (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Reinforcement Learning in Robotics (2 papers). Jak Kirman is often cited by papers focused on AI-based Problem Solving and Planning (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Reinforcement Learning in Robotics (2 papers). Jak Kirman collaborates with scholars based in United States. Jak Kirman's co-authors include Thomas Dean, Ann E. Nicholson, Leslie Pack Kaelbling and Taraneh Dean and has published in prestigious journals such as Artificial Intelligence, IEEE Expert and National Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Jak Kirman i

Fields of papers citing papers by Jak Kirman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jak Kirman. 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 Jak Kirman. The network helps show where Jak Kirman may publish in the future.

Countries citing papers authored by Jak Kirman

Since Specialization
Citations

This map shows the geographic impact of Jak Kirman'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 Jak Kirman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jak Kirman 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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2025