Nino Shervashidze

About

Nino Shervashidze is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Nino Shervashidze has authored 5 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Nino Shervashidze’s work include Advanced Graph Neural Networks (2 papers), Graph Theory and Algorithms (2 papers) and Neural Networks and Applications (1 paper). Nino Shervashidze is often cited by papers focused on Advanced Graph Neural Networks (2 papers), Graph Theory and Algorithms (2 papers) and Neural Networks and Applications (1 paper). Nino Shervashidze collaborates with scholars based in Germany, Norway and Spain. Nino Shervashidze's co-authors include Karsten Borgwardt, Erik Jan van Leeuwen, Kurt Mehlhorn, Pascal Schweitzer, Gustau Camps‐Valls, Francis Bach, Detlef Weigel, Yasushi Kobayashi, Bertram Müller‐Myhsok and Oliver Stegle and has published in prestigious journals such as IEEE Transactions on Signal Processing, BMC Bioinformatics and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Nino Shervashidze i

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Fields of papers citing papers by Nino Shervashidze

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nino Shervashidze

Since Specialization

Citations

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