E. Lukács

About

E. Lukács is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, E. Lukács has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 2 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. Recurrent topics in E. Lukács’s work include Bayesian Methods and Mixture Models (2 papers), Statistical Distribution Estimation and Applications (2 papers) and Neuroscience and Neuropharmacology Research (1 paper). E. Lukács is often cited by papers focused on Bayesian Methods and Mixture Models (2 papers), Statistical Distribution Estimation and Applications (2 papers) and Neuroscience and Neuropharmacology Research (1 paper). E. Lukács collaborates with scholars based in United States, Germany and Austria. E. Lukács's co-authors include Z. W. Birnbaum, Peter Hall, C. C. Heyde, R. G. Laha, Judah Rosenblatt, Otto Szász, W. Molenaar, Torsten Kuwert, Stefan Rampp and Marc Doelken and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Co-authorship network of co-authors of E. Lukács i

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Fields of papers citing papers by E. Lukács

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by E. Lukács

Since Specialization

Citations

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