Martin Lukáč

35 papers and 239 indexed citations i.

About

Martin Lukáč is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Martin Lukáč has authored 35 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Computational Theory and Mathematics. Recurrent topics in Martin Lukáč’s work include Quantum Computing Algorithms and Architecture (10 papers), Quantum-Dot Cellular Automata (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Martin Lukáč is often cited by papers focused on Quantum Computing Algorithms and Architecture (10 papers), Quantum-Dot Cellular Automata (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Martin Lukáč collaborates with scholars based in Japan, United States and Kazakhstan. Martin Lukáč's co-authors include Deborah Estrin, Lewis Girod, Vlad Trifa, Michitaka Kameyama, Marek Perkowski, Jeremy Elson, Thanos Stathopoulos, Nithya Ramanathan, Kyusik Chung and Yong-Duk Kim and has published in prestigious journals such as Scientific Reports, Artificial Intelligence Review and Seismological Research Letters.

In The Last Decade

Co-authorship network of co-authors of Martin Lukáč i

Fields of papers citing papers by Martin Lukáč

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Lukáč

Since Specialization
Citations

This map shows the geographic impact of Martin Lukáč'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 Martin Lukáč with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Lukáč 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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2025