Daniel J. Mankowitz

About

Daniel J. Mankowitz is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Daniel J. Mankowitz has authored 18 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 2 papers in Computer Networks and Communications. Recurrent topics in Daniel J. Mankowitz’s work include Reinforcement Learning in Robotics (15 papers), Machine Learning and Algorithms (3 papers) and Advanced Bandit Algorithms Research (3 papers). Daniel J. Mankowitz is often cited by papers focused on Reinforcement Learning in Robotics (15 papers), Machine Learning and Algorithms (3 papers) and Advanced Bandit Algorithms Research (3 papers). Daniel J. Mankowitz collaborates with scholars based in Israel, United States and United Kingdom. Daniel J. Mankowitz's co-authors include Shie Mannor, Tom Zahavy, Nir Levine, Gabriel Dulac-Arnold, Sven Gowal, Cosmin Păduraru, Jerry Li, Todd Hester, Chen Tessler and Timothy Mann and has published in prestigious journals such as Machine Learning, Fusion Engineering and Design and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Daniel J. Mankowitz i

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Fields of papers citing papers by Daniel J. Mankowitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Mankowitz. 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 Daniel J. Mankowitz. The network helps show where Daniel J. Mankowitz may publish in the future.

Countries citing papers authored by Daniel J. Mankowitz

Since Specialization

Citations

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