Johannes Bjerva

132 total papers · 1.4k total citations
45 papers, 356 citations indexed

About

Johannes Bjerva is a scholar working on Artificial Intelligence, Information Systems and Experimental and Cognitive Psychology. According to data from OpenAlex, Johannes Bjerva has authored 45 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Johannes Bjerva's work include Topic Modeling (29 papers), Natural Language Processing Techniques (29 papers) and Text Readability and Simplification (7 papers). Johannes Bjerva is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (29 papers) and Text Readability and Simplification (7 papers). Johannes Bjerva collaborates with scholars based in Denmark, Netherlands and Sweden. Johannes Bjerva's co-authors include Johan Bos, Isabelle Augenstein, Malvina Nissim, Barbara Plank, Robert Östling, Rob van der Goot, Anders Søgaard, Noortje J. Venhuizen, Kilian Evang and Valerio Basile and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and Journal of Web Semantics.

In The Last Decade

Johannes Bjerva

36 papers receiving 329 citations

Author Peers

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

Author Last Decade Papers Cites
Johannes Bjerva 323 42 30 23 14 45 356
Denis Paperno 262 0.8× 54 1.3× 13 0.4× 11 0.5× 36 2.6× 30 319
Simon Dobnik 309 1.0× 50 1.2× 15 0.5× 33 1.4× 20 1.4× 32 359
Tiago Pimentel 225 0.7× 42 1.0× 25 0.8× 38 1.7× 11 0.8× 39 320
Daniele P. Radicioni 211 0.7× 45 1.1× 14 0.5× 24 1.0× 6 0.4× 51 303
Anil Kumar Singh 307 1.0× 74 1.8× 9 0.3× 52 2.3× 14 1.0× 77 394
Simone Conia 267 0.8× 35 0.8× 11 0.4× 13 0.6× 13 0.9× 25 343
Miikka Silfverberg 281 0.9× 57 1.4× 12 0.4× 15 0.7× 14 1.0× 46 324
Lakshmi Babu Saheer 235 0.7× 22 0.5× 46 1.5× 13 0.6× 8 0.6× 27 324
R. Thomas McCoy 280 0.9× 56 1.3× 10 0.3× 15 0.7× 8 0.6× 18 332
Patrick Littell 367 1.1× 52 1.2× 39 1.3× 14 0.6× 19 1.4× 27 400

Countries citing papers authored by Johannes Bjerva

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Bjerva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Bjerva

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Bjerva. A scholar is included among the top collaborators of Johannes Bjerva 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 Johannes Bjerva. Johannes Bjerva 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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