Djoerd Hiemstra

5.5k 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 Dong Nguyen 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Djoerd Hiemstra Netherlands 24 1.3k 1.3k 368 290 234 161 2.2k
Falk Scholer Australia 24 1.3k 1.0× 1.3k 1.0× 345 0.9× 336 1.2× 258 1.1× 153 2.3k
Rosie Jones United States 26 1.7k 1.3× 1.8k 1.4× 331 0.9× 438 1.5× 256 1.1× 62 3.1k
Susan Gauch United States 24 1.3k 1.0× 984 0.8× 349 0.9× 314 1.1× 304 1.3× 92 2.0k
Jade Goldstein United States 15 1.0k 0.8× 2.0k 1.6× 559 1.5× 314 1.1× 250 1.1× 22 2.9k
Jaap Kamps Netherlands 22 1.2k 0.9× 1.8k 1.4× 287 0.8× 197 0.7× 222 0.9× 209 2.6k
Kirsten Swearingen United States 9 962 0.7× 708 0.5× 445 1.2× 189 0.7× 261 1.1× 11 1.7k
Hugo Zaragoza United Kingdom 22 1.8k 1.4× 2.6k 2.0× 585 1.6× 339 1.2× 283 1.2× 52 3.4k
Ian Soboroff United States 30 2.0k 1.5× 2.1k 1.6× 309 0.8× 219 0.8× 208 0.9× 113 3.0k
Douglas W. Oard United States 32 1.4k 1.0× 2.6k 2.0× 528 1.4× 365 1.3× 201 0.9× 238 3.7k

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

20 of 20 papers shown
1.
Hiemstra, Djoerd, et al.. (2023). UNFair: Search Engine Manipulation, Undetectable by Amortized Inequity. Radboud Repository (Radboud University). 830–839. 1 indexed citations
2.
Dehghani, Mostafa, Hosein Azarbonyad, Jaap Kamps, Djoerd Hiemstra, & M. Marx. (2016). Luhn Revisited. UvA-DARE (University of Amsterdam). 1301–1310. 16 indexed citations
3.
Nguyen, Dong, Tijs van den Broek, Claudia Hauff, Djoerd Hiemstra, & Michel Ehrenhard. (2015). Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015. 52 indexed citations
4.
Demeester, Thomas, Dolf Trieschnigg, Dong Nguyen, & Djoerd Hiemstra. (2014). Overview of the TREC 2013 Federated Web Search Track. Ghent University Academic Bibliography (Ghent University). 1–11. 25 indexed citations
5.
Aly, Robin, Djoerd Hiemstra, Dolf Trieschnigg, & Thomas Demeester. (2013). Mirex and Taily at TREC 2013. Ghent University Academic Bibliography (Ghent University). 1–6. 1 indexed citations
6.
Hiemstra, Djoerd, et al.. (2012). Peer-to-Peer Information Retrieval. ACM Transactions on Information Systems. 30(2). 1–34. 13 indexed citations
7.
Nguyen, Dong & Djoerd Hiemstra. (2012). Ensemble clustering for result diversification. Data Archiving and Networked Services (DANS). 32(4). 356–358. 2 indexed citations
8.
Ordelman, Roeland, Willemijn Heeren, Marijn Huijbregts, Franciska de Jong, & Djoerd Hiemstra. (2009). Towards Affordable Disclosure of Spoken Heritage Archives. University of Twente Research Information. 10(6). 1. 19 indexed citations
9.
Overwijk, Arnold, et al.. (2008). On the evaluation of snippet selection for information retrieval. CLEF (Working Notes). 1 indexed citations
10.
Kaptein, Rianne, Jaap Kamps, & Djoerd Hiemstra. (2008). The Impact of Positive, Negative and Topical Relevance Feedback. UvA-DARE (University of Amsterdam). 9 indexed citations
11.
Serdyukov, Pavel & Djoerd Hiemstra. (2008). Modeling documents as mixtures of persons for expert finding. 309–320. 45 indexed citations
12.
Serdyukov, Pavel, Robin Aly, & Djoerd Hiemstra. (2008). University of Twente at the TREC 2008 Enterprise Track: using the Global Web as an expertise evidence source. University of Twente Research Information. 3 indexed citations
13.
Hiemstra, Djoerd, et al.. (2006). Speech Retrieval Experiments using XML Information Retrieval.. CLEF (Working Notes).
14.
Rode, Henning, et al.. (2005). The Lowlands' TREC Experiments. Data Archiving and Networked Services (DANS). 1 indexed citations
15.
Westerveld, Thijs, Wessel Kraaij, & Djoerd Hiemstra. (2002). Retrieving Web Pages Using Content, Links, URLs and Anchors. University of Twente Research Information. 663–672. 85 indexed citations
16.
Hiemstra, Djoerd, et al.. (2000). Twenty-One at CLEF-2000: Translation resources, merging strategies and relevance feedback. CLEF (Working Notes). 6 indexed citations
17.
Kraaij, Wessel, et al.. (1999). Twenty-One at TREC-8: using Language Technology for Information Retrieval. Data Archiving and Networked Services (DANS). 285–300. 29 indexed citations
18.
Hiemstra, Djoerd & Wessel Kraaij. (1998). Twenty-One at TREC-7: ad-hoc and cross-language track. University of Twente Research Information. 174–185. 103 indexed citations
19.
Hiemstra, Djoerd. (1998). Multilingual domain modeling in Twenty-One: automatic creation of a bi-directional translation lexicon from a parallel corpus. University of Twente Research Information. 41–58. 21 indexed citations
20.
Kraaij, Wessel & Djoerd Hiemstra. (1997). Cross-Language Retrieval with the Twenty-One System. University of Twente Research Information. 753–760. 8 indexed citations

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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