Igor Vajda

99 papers and 1.8k indexed citations i.

About

Igor Vajda is a scholar working on Statistics and Probability, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Igor Vajda has authored 99 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Statistics and Probability, 29 papers in Artificial Intelligence and 29 papers in Statistical and Nonlinear Physics. Recurrent topics in Igor Vajda’s work include Statistical Methods and Inference (44 papers), Advanced Statistical Methods and Models (37 papers) and Statistical Mechanics and Entropy (29 papers). Igor Vajda is often cited by papers focused on Statistical Methods and Inference (44 papers), Advanced Statistical Methods and Models (37 papers) and Statistical Mechanics and Entropy (29 papers). Igor Vajda collaborates with scholars based in Czechia, Spain and Germany. Igor Vajda's co-authors include Friedrich Liese, Georges A. Darbellay, Domingo Morales, Leandro Pardo, María del Carmen Pardo, László Györfi, Peter Harremoës, M. Menéndez, Alain Berlinet and Edward C. van der Meulen and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Econometrics and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

In The Last Decade

Co-authorship network of co-authors of Igor Vajda i

Fields of papers citing papers by Igor Vajda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Igor Vajda

Since Specialization
Citations

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