Ádám Arany

58 total papers · 1.0k total citations
24 papers, 373 citations indexed

About

Ádám Arany is a scholar working on Computational Theory and Mathematics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Ádám Arany has authored 24 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 7 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Ádám Arany's work include Computational Drug Discovery Methods (9 papers), Gene expression and cancer classification (5 papers) and Machine Learning in Materials Science (3 papers). Ádám Arany is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Gene expression and cancer classification (5 papers) and Machine Learning in Materials Science (3 papers). Ádám Arany collaborates with scholars based in Belgium, Hungary and Sweden. Ádám Arany's co-authors include Yves Moreau, Jaak Simm, Péter Antal, Péter Mátyus, Hugo Ceulemans, Vladimir Chupakhin, Jörg K. Wegner, Peter Buijnsters, Ingrid Velter and Marvin Steijaert and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Genome biology.

In The Last Decade

Ádám Arany

22 papers receiving 360 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ádám Arany 191 157 91 49 44 24 373
Christian Cumbaa 233 1.2× 43 0.3× 47 0.5× 44 0.9× 94 2.1× 13 404
Qing Ye 191 1.0× 176 1.1× 19 0.2× 41 0.8× 59 1.3× 45 430
Francisco Cedrón 144 0.8× 188 1.2× 14 0.2× 53 1.1× 52 1.2× 18 374
J.D. Hoyt 244 1.3× 119 0.8× 162 1.8× 31 0.6× 7 0.2× 8 413
Johan Karlsson 102 0.5× 44 0.3× 20 0.2× 29 0.6× 19 0.4× 19 380
Zerrin Işık 177 0.9× 76 0.5× 24 0.3× 137 2.8× 7 0.2× 34 444
Giovanna Maria Dimitri 81 0.4× 51 0.3× 17 0.2× 91 1.9× 12 0.3× 42 365
Limeng Pu 212 1.1× 208 1.3× 21 0.2× 38 0.8× 65 1.5× 27 409
Christian Feldmann 114 0.6× 153 1.0× 8 0.1× 39 0.8× 80 1.8× 37 411
Samuel Lampa 200 1.0× 162 1.0× 21 0.2× 31 0.6× 66 1.5× 13 414

Countries citing papers authored by Ádám Arany

Since Specialization
Citations

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

Fields of papers citing papers by Ádám Arany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ádám Arany

This figure shows the co-authorship network connecting the top 25 collaborators of Ádám Arany. A scholar is included among the top collaborators of Ádám Arany based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ádám Arany. Ádám Arany is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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