Danil Prokhorov

95 papers and 4.0k indexed citations i.

About

Danil Prokhorov is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Danil Prokhorov has authored 95 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 33 papers in Control and Systems Engineering and 23 papers in Computational Theory and Mathematics. Recurrent topics in Danil Prokhorov’s work include Neural Networks and Applications (21 papers), Adaptive Dynamic Programming Control (14 papers) and Reinforcement Learning in Robotics (13 papers). Danil Prokhorov is often cited by papers focused on Neural Networks and Applications (21 papers), Adaptive Dynamic Programming Control (14 papers) and Reinforcement Learning in Robotics (13 papers). Danil Prokhorov collaborates with scholars based in United States, Switzerland and China. Danil Prokhorov's co-authors include Donald C. Wunsch, Xue Mei, Haibo He, Haibin Ling, Fan Yang, Sijia Yu, Lei Zhang, Emad Saad, Ivan Tyukin and Zhiqiang Wan and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Danil Prokhorov i

Fields of papers citing papers by Danil Prokhorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danil Prokhorov

Since Specialization
Citations

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