Rob van der Goot

106 total papers · 626 total citations
38 papers, 297 citations indexed

About

Rob van der Goot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Rob van der Goot has authored 38 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Rob van der Goot's work include Topic Modeling (29 papers), Natural Language Processing Techniques (26 papers) and Text Readability and Simplification (7 papers). Rob van der Goot is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (26 papers) and Text Readability and Simplification (7 papers). Rob van der Goot collaborates with scholars based in Denmark, Netherlands and Germany. Rob van der Goot's co-authors include Barbara Plank, Malvina Nissim, Gertjan van Noord, Johan Bos, Johannes Bjerva, Nikola Ljubešić, Joachim Daiber, Tommaso Caselli, Rik van Noord and Yves Scherrer and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and Data Archiving and Networked Services (DANS).

In The Last Decade

Rob van der Goot

33 papers receiving 268 citations

Author Peers

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

Author Last Decade Papers Cites
Rob van der Goot 285 30 23 22 14 38 297
Emmanuele Chersoni 219 0.8× 30 1.0× 15 0.7× 17 0.8× 16 1.1× 52 313
Simone Conia 267 0.9× 13 0.4× 13 0.6× 35 1.6× 17 1.2× 25 343
Artem Shelmanov 186 0.7× 22 0.7× 20 0.9× 32 1.5× 14 1.0× 32 247
Masato Hagiwara 217 0.8× 57 1.9× 38 1.7× 17 0.8× 15 1.1× 31 346
Philippe Laban 236 0.8× 15 0.5× 34 1.5× 31 1.4× 17 1.2× 28 293
Susan Armstrong 203 0.7× 22 0.7× 28 1.2× 20 0.9× 7 0.5× 23 232
Kapil Thadani 299 1.0× 17 0.6× 42 1.8× 35 1.6× 13 0.9× 27 355
Tomáš Brychcín 306 1.1× 18 0.6× 44 1.9× 11 0.5× 18 1.3× 23 326
Yannis Katsis 188 0.7× 55 1.8× 49 2.1× 15 0.7× 18 1.3× 31 294
Anna Rogers 296 1.0× 13 0.4× 25 1.1× 67 3.0× 24 1.7× 22 363

Countries citing papers authored by Rob van der Goot

Since Specialization
Citations

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

Fields of papers citing papers by Rob van der Goot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rob van der Goot. 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 Rob van der Goot. The network helps show where Rob van der Goot may publish in the future.

Co-authorship network of co-authors of Rob van der Goot

This figure shows the co-authorship network connecting the top 25 collaborators of Rob van der Goot. A scholar is included among the top collaborators of Rob van der Goot 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 Rob van der Goot. Rob van der Goot 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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