Gábor Melis

6 papers and 278 indexed citations i.

About

Gábor Melis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Gábor Melis has authored 6 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Gábor Melis’s work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (2 papers). Gábor Melis is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (2 papers). Gábor Melis collaborates with scholars based in United Kingdom and United States. Gábor Melis's co-authors include Chris Dyer, Phil Blunsom, Tomáš Kočiský, Karl Moritz Hermann, Edward Grefenstette, Jonathan Schwarz, Dani Yogatama, Adhiguna Kuncoro, Yishu Miao and Ling Wang and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, ICGA Journal and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Gábor Melis i

Fields of papers citing papers by Gábor Melis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gábor Melis

Since Specialization
Citations

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