Dávid Lányi

3 papers and 314 indexed citations i.

About

Dávid Lányi is a scholar working on Artificial Intelligence, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dávid Lányi has authored 3 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Materials Chemistry and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Dávid Lányi’s work include Cell Image Analysis Techniques (1 paper), Data Mining Algorithms and Applications (1 paper) and Topic Modeling (1 paper). Dávid Lányi is often cited by papers focused on Cell Image Analysis Techniques (1 paper), Data Mining Algorithms and Applications (1 paper) and Topic Modeling (1 paper). Dávid Lányi collaborates with scholars based in Switzerland and Brazil. Dávid Lányi's co-authors include Costas Bekas, Théophile Gaudin, Teodoro Laino, Philippe Schwaller, Matheus P. Viana, Maria Gabrani, D. Wiesmann, J. M. Dias Pereira, Ioana Giurgiu and George Stark and has published in prestigious journals such as Chemical Science, IBM Journal of Research and Development and 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

In The Last Decade

Co-authorship network of co-authors of Dávid Lányi i

Fields of papers citing papers by Dávid Lányi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dávid Lányi

Since Specialization
Citations

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