Jon Atle Gulla

153 total papers · 2.1k total citations
79 papers, 936 citations indexed

About

Jon Atle Gulla is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jon Atle Gulla has authored 79 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Information Systems, 52 papers in Artificial Intelligence and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jon Atle Gulla's work include Recommender Systems and Techniques (29 papers), Semantic Web and Ontologies (24 papers) and Service-Oriented Architecture and Web Services (19 papers). Jon Atle Gulla is often cited by papers focused on Recommender Systems and Techniques (29 papers), Semantic Web and Ontologies (24 papers) and Service-Oriented Architecture and Web Services (19 papers). Jon Atle Gulla collaborates with scholars based in Norway, United States and Germany. Jon Atle Gulla's co-authors include Lemei Zhang, Özlem Özgöbek, Xiaomeng Su, Wei Wei, Terje Brasethvik, Jon Espen Ingvaldsen, Ulrich Thiel, Adelheit Stein, Kevin C. Almeroth and Wei Wei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Machine Learning and International Journal of Human-Computer Studies.

In The Last Decade

Jon Atle Gulla

73 papers receiving 841 citations

Author Peers

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

Author Last Decade Papers Cites
Jon Atle Gulla 642 547 123 120 116 79 936
Francisco García‐Sánchez 693 1.1× 663 1.2× 134 1.1× 116 1.0× 148 1.3× 51 1.2k
Hongke Zhao 567 0.9× 445 0.8× 182 1.5× 106 0.9× 276 2.4× 81 1.2k
Harris Wu 505 0.8× 440 0.8× 147 1.2× 82 0.7× 199 1.7× 63 1.2k
Wenge Rong 559 0.9× 377 0.7× 67 0.5× 108 0.9× 57 0.5× 102 1.1k
Bernhard Haslhofer 467 0.7× 462 0.8× 158 1.3× 107 0.9× 48 0.4× 63 938
Valentina Presutti 836 1.3× 372 0.7× 144 1.2× 99 0.8× 80 0.7× 100 1.1k
Suppawong Tuarob 679 1.1× 339 0.6× 117 1.0× 128 1.1× 44 0.4× 75 1.2k
Peter Dolog 619 1.0× 629 1.1× 42 0.3× 116 1.0× 69 0.6× 82 1.2k
Stephen Cranefield 765 1.2× 470 0.9× 115 0.9× 120 1.0× 197 1.7× 115 1.2k
Nicholas Gibbins 664 1.0× 544 1.0× 135 1.1× 155 1.3× 80 0.7× 74 1.1k

Countries citing papers authored by Jon Atle Gulla

Since Specialization
Citations

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

Fields of papers citing papers by Jon Atle Gulla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Atle Gulla. 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 Jon Atle Gulla. The network helps show where Jon Atle Gulla may publish in the future.

Co-authorship network of co-authors of Jon Atle Gulla

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Atle Gulla. A scholar is included among the top collaborators of Jon Atle Gulla 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 Jon Atle Gulla. Jon Atle Gulla 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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