Djoerd Hiemstra

5.5k citations
161 papers · 2.2k indexed · h-index 24

Djoerd Hiemstra

143 papers receiving 1.9k citations

Peers

Djoerd Hiemstra
Comparison fields: 5 of 100
  • Information Systems 1.3k
  • Artificial Intelligence 1.3k
  • Computer Vision and Pattern Recognition 368
  • Signal Processing 290
  • Computer Networks and Communications 234
Replace Falk Scholer with:
Falk Scholer Australia
Rosie Jones United States
Douglas W. Oard United States
Jade Goldstein United States
Vasudeva Varma India
Jaap Kamps Netherlands
Kirsten Swearingen United States
Michael Bendersky United States
Siegfried Handschuh Germany
Marko Balabanović United States
Djoerd Hiemstra relative to Falk Scholer Australia Falk Scholer's profile →
Citations per field
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Citations per year

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
#WorkIndexed citations
1 1
2
Ranking learning-to-rank methods
1
3 27
4
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015
52
5
Overview of the TREC 2013 Federated Web Search Track
25
6
Mirex and Taily at TREC 2013
1
7 2
8
Ranking XPaths for extracting search result records
8
9
University of Twente at the TREC 2008 Enterprise Track: using the Global Web as an expertise evidence source
3
10
The Impact of Positive, Negative and Topical Relevance Feedback
9
11
On the evaluation of snippet selection for information retrieval
1
12 45
13
Speech Retrieval Experiments using XML Information Retrieval.
0
14
The Lowlands' TREC Experiments
1
15
The TIJAH XML-IR system at INEX 2003
12
16
Retrieving Web Pages Using Content, Links, URLs and Anchors
85
17
Twenty-One at TREC-8: using Language Technology for Information Retrieval
29
18
Twenty-One at TREC-7: ad-hoc and cross-language track
103
19
Cross-language retrieval in Twenty-One: using one, some or all possible translations?
1
20
Cross-Language Retrieval with the Twenty-One System
8

About Djoerd Hiemstra

Djoerd Hiemstra is a scholar working on Information Systems, Artificial Intelligence and Signal Processing, having authored 161 papers that have together received 2.2k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (59 papers), Topic Modeling (44 papers) and Web Data Mining and Analysis (37 papers). The work is most often cited by research in Information Systems (1.3k citations), Artificial Intelligence (1.3k citations) and Computer Science Applications (172 citations). Djoerd Hiemstra has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent 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. Their work appears in journals such as Information Processing & Management, Social Networks and ACM SIGMOD Record.

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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