Eugene Tuv

About

Eugene Tuv is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Eugene Tuv has authored 16 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Eugene Tuv’s work include Neural Networks and Applications (5 papers), Advanced Statistical Process Monitoring (4 papers) and Fault Detection and Control Systems (4 papers). Eugene Tuv is often cited by papers focused on Neural Networks and Applications (5 papers), Advanced Statistical Process Monitoring (4 papers) and Fault Detection and Control Systems (4 papers). Eugene Tuv collaborates with scholars based in United States, Mexico and Puerto Rico. Eugene Tuv's co-authors include George C. Runger, Houtao Deng, Mustafa Gökçe Baydoğan, Alexander Borisov, Kari Torkkola, K. Torkkola, E.R. Dougherty, Chris Ding, Zheng Zhao and Fang Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and International Journal of Production Research.

In The Last Decade

Co-authorship network of co-authors of Eugene Tuv i

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Fields of papers citing papers by Eugene Tuv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eugene Tuv

Since Specialization

Citations

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