Gjergji Kasneci

31 papers and 965 indexed citations i.

About

Gjergji Kasneci is a scholar working on Artificial Intelligence, Management Science and Operations Research and Cognitive Neuroscience. According to data from OpenAlex, Gjergji Kasneci has authored 31 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 4 papers in Cognitive Neuroscience. Recurrent topics in Gjergji Kasneci’s work include Topic Modeling (7 papers), Semantic Web and Ontologies (6 papers) and Natural Language Processing Techniques (5 papers). Gjergji Kasneci is often cited by papers focused on Topic Modeling (7 papers), Semantic Web and Ontologies (6 papers) and Natural Language Processing Techniques (5 papers). Gjergji Kasneci collaborates with scholars based in Germany, United States and Norway. Gjergji Kasneci's co-authors include Gerhard Weikum, Fabian M. Suchanek, Vadim Borisov, Tobias Leemann, Johannes Haug, Martin Pawelczyk, Kathrin Seßler, Maya Ramanath, Georgiana Ifrim and Enkelejda Kasneci and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Educational Psychology.

In The Last Decade

Co-authorship network of co-authors of Gjergji Kasneci i

Fields of papers citing papers by Gjergji Kasneci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gjergji Kasneci

Since Specialization
Citations

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