Tomáš Babej

About

Tomáš Babej is a scholar working on Artificial Intelligence, Information Systems and Industrial relations. According to data from OpenAlex, Tomáš Babej has authored 2 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Information Systems and 0 papers in Industrial relations. Recurrent topics in Tomáš Babej’s work include Quantum Computing Algorithms and Architecture (2 papers), Neural Networks and Reservoir Computing (2 papers) and Quantum Information and Cryptography (1 paper). Tomáš Babej is often cited by papers focused on Quantum Computing Algorithms and Architecture (2 papers), Neural Networks and Reservoir Computing (2 papers) and Quantum Information and Cryptography (1 paper). Tomáš Babej collaborates with scholars based in Canada and South Africa. Tomáš Babej's co-authors include Mark Fingerhuth, Péter Wittek, Juan Miguel Arrazola, Leonardo Banchi and Christopher Ing and has published in prestigious journals such as PLoS ONE and Science Advances.

In The Last Decade

Co-authorship network of co-authors of Tomáš Babej i

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Fields of papers citing papers by Tomáš Babej

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomáš Babej

Since Specialization

Citations

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