David Vengerov

15 papers and 235 indexed citations i.

About

David Vengerov is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, David Vengerov has authored 15 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in David Vengerov’s work include Reinforcement Learning in Robotics (6 papers), Parallel Computing and Optimization Techniques (3 papers) and Optimization and Search Problems (3 papers). David Vengerov is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Parallel Computing and Optimization Techniques (3 papers) and Optimization and Search Problems (3 papers). David Vengerov collaborates with scholars based in United States and United Kingdom. David Vengerov's co-authors include H.R. Berenji, Mohamed Zaït, Nicholas Bambos, Jeremy Singer, Ellen T. Kephart, Olena M. Vaske, Jacob Pfeil, David Haussler, Sofie R. Salama and Robert Currie and has published in prestigious journals such as Technometrics, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

Co-authorship network of co-authors of David Vengerov i

Fields of papers citing papers by David Vengerov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Vengerov

Since Specialization
Citations

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