Djoerd Hiemstra

326 total papers · 5.4k total citations
161 papers, 2.2k citations indexed

About

Djoerd Hiemstra is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Djoerd Hiemstra has authored 161 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Information Systems, 84 papers in Artificial Intelligence and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Djoerd Hiemstra's work include Information Retrieval and Search Behavior (59 papers), Topic Modeling (44 papers) and Web Data Mining and Analysis (37 papers). Djoerd Hiemstra is often cited by papers focused on Information Retrieval and Search Behavior (59 papers), Topic Modeling (44 papers) and Web Data Mining and Analysis (37 papers). Djoerd Hiemstra collaborates with scholars based in Netherlands, United Kingdom and United States. Djoerd Hiemstra's co-authors include Wessel Kraaij, Thijs Westerveld, Pavel Serdyukov, Franciska de Jong, Claudia Hauff, Henning Rode, Hugo Zaragoza, Arjen P. de Vries, Stephen Robertson and Robin Aly and has published in prestigious journals such as Information Processing & Management, Social Networks and ACM SIGMOD Record.

In The Last Decade

Djoerd Hiemstra

143 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Djoerd Hiemstra 1.3k 1.3k 368 291 233 161 2.2k
Falk Scholer 1.3k 1.0× 1.3k 1.0× 347 0.9× 338 1.2× 259 1.1× 152 2.3k
Haym Hirsh 1.2k 0.9× 1.6k 1.2× 416 1.1× 350 1.2× 365 1.6× 93 2.6k
Zhixu Li 801 0.6× 1.1k 0.9× 335 0.9× 263 0.9× 273 1.2× 132 1.9k
Susan Gauch 1.3k 1.0× 987 0.8× 347 0.9× 314 1.1× 305 1.3× 92 2.0k
Kristian J. Hammond 1.2k 0.9× 1.8k 1.4× 435 1.2× 234 0.8× 357 1.5× 113 3.0k
Jaap Kamps 1.2k 0.9× 1.9k 1.4× 288 0.8× 207 0.7× 232 1.0× 212 2.7k
Paul Clough 938 0.7× 1.2k 0.9× 505 1.4× 468 1.6× 99 0.4× 148 2.8k
Ian Soboroff 1.9k 1.5× 2.0k 1.6× 322 0.9× 230 0.8× 215 0.9× 115 2.9k
Rosie Jones 1.7k 1.3× 1.8k 1.4× 331 0.9× 438 1.5× 256 1.1× 62 3.1k
Hang Li 1.3k 1.0× 2.3k 1.7× 648 1.8× 224 0.8× 172 0.7× 82 3.2k

Countries citing papers authored by Djoerd Hiemstra

Since Specialization
Citations

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

Fields of papers citing papers by Djoerd Hiemstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Djoerd Hiemstra

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