Edgar Meij

2.3k total citations
80 papers, 1.1k citations indexed

About

Edgar Meij is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Edgar Meij has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 42 papers in Information Systems and 16 papers in Management Science and Operations Research. Recurrent topics in Edgar Meij's work include Topic Modeling (48 papers), Semantic Web and Ontologies (26 papers) and Information Retrieval and Search Behavior (24 papers). Edgar Meij is often cited by papers focused on Topic Modeling (48 papers), Semantic Web and Ontologies (26 papers) and Information Retrieval and Search Behavior (24 papers). Edgar Meij collaborates with scholars based in Netherlands, United States and United Kingdom. Edgar Meij's co-authors include Maarten de Rijke, Wouter Weerkamp, Roi Blanco, Giuseppe Ottaviano, Krisztian Balog, Daan Odijk, Laura Dietz, Alexander Kotov, Manos Tsagkias and Dolf Trieschnigg and has published in prestigious journals such as Nature, BMC Bioinformatics and BMC Public Health.

In The Last Decade

Edgar Meij

76 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Edgar Meij Netherlands	18	880	480	145	96	93	80	1.1k
Bo-June Hsu United States	13	715 0.8×	338 0.7×	112 0.8×	88 0.9×	82 0.9×	23	1.1k
Pável Calado Portugal	22	703 0.8×	625 1.3×	128 0.9×	213 2.2×	140 1.5×	64	1.2k
Clare R. Voss United States	18	1.2k 1.4×	311 0.6×	125 0.9×	85 0.9×	49 0.5×	76	1.4k
Deepak Ravichandran United States	14	1.6k 1.8×	569 1.2×	86 0.6×	85 0.9×	108 1.2×	22	1.9k
Giuseppe Rizzo Italy	18	778 0.9×	374 0.8×	157 1.1×	41 0.4×	56 0.6×	64	1.0k
Silviu Cucerzan United States	17	1.3k 1.5×	558 1.2×	246 1.7×	110 1.1×	57 0.6×	39	1.6k
Haggai Roitman Israel	19	478 0.5×	402 0.8×	114 0.8×	130 1.4×	124 1.3×	75	869
Nadav Eiron United States	11	550 0.6×	587 1.2×	106 0.7×	97 1.0×	170 1.8×	17	883
Bruce Croft United States	12	886 1.0×	783 1.6×	89 0.6×	200 2.1×	132 1.4×	25	1.3k

Countries citing papers authored by Edgar Meij

Since Specialization

Citations

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

Fields of papers citing papers by Edgar Meij

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edgar Meij

This figure shows the co-authorship network connecting the top 25 collaborators of Edgar Meij. A scholar is included among the top collaborators of Edgar Meij 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 Edgar Meij. Edgar Meij is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wu, Bin, Edgar Meij, & Erkan Yılmaz. (2025). A Joint Optimization Framework for Enhancing Efficiency of Tool Utilization in LLM Agents. 22361–22373.

Meij, Edgar, et al.. (2022). Entity Retrieval from Multilingual Knowledge Graphs. 1–15. 1 indexed citations

Meij, Edgar, et al.. (2020). Knowledge Graphs: An Information Retrieval Perspective. UvA-DARE (University of Amsterdam). 14(4). 289–444. 49 indexed citations

Meij, Edgar, et al.. (2015). Learning to Explain Entity Relationships in Knowledge Graphs. UvA-DARE (University of Amsterdam). 564–574. 37 indexed citations

Hardon, Anita, Gabriela B. Gomez, Eva Vernooij, et al.. (2013). Do support groups members disclose less to their partners? The dynamics of HIV disclosure in four African countries. BMC Public Health. 13(1). 589–589. 23 indexed citations

Amigó, Enrique, et al.. (2012). Overview of RepLab 2012: Evaluating Online Reputation Management Systems. UvA-DARE (University of Amsterdam). 1178. 41 indexed citations

Bron, Marc, et al.. (2012). Team COMMIT at TREC 2011. UvA-DARE (University of Amsterdam). 2 indexed citations

Meij, Edgar, et al.. (2012). The University of Amsterdam at TREC 2012. UvA-DARE (University of Amsterdam). 8 indexed citations

Huurnink, Bouke, et al.. (2012). The University of Amsterdam at the TREC 2011 Session Track. UvA-DARE (University of Amsterdam). 2 indexed citations

10.

Meij, Edgar, et al.. (2011). Classifying queries submitted to a vertical search engine. UvA-DARE (University of Amsterdam). 1–6.

11.

Balog, Krisztian, Katja Hofmann, Edgar Meij, et al.. (2010). Heuristic ranking and diversification of web documents. UvA-DARE (University of Amsterdam). 8 indexed citations

12.

Bron, Marc, et al.. (2010). The University of Amsterdam at TREC 2010: Session, Entity, and Relevance Feedback. UvA-DARE (University of Amsterdam). 7 indexed citations

13.

Meij, Edgar, Jiyin He, Wouter Weerkamp, & Maarten de Rijke. (2010). Topical Diversity and Relevance Feedback. UvA-DARE (University of Amsterdam).

14.

Roos, Marco, Michael S. Marshall, Martijn J. Schuemie, et al.. (2009). Structuring and extracting knowledge for the support of hypothesis generation in molecular biology. BMC Bioinformatics. 10(S10). S9–S9. 27 indexed citations

15.

Meij, Edgar, Dolf Trieschnigg, Maarten de Rijke, & Wessel Kraaij. (2009). Conceptual language models for domain-specific retrieval. Information Processing & Management. 46(4). 448–469. 31 indexed citations

16.

Meij, Edgar, Wouter Weerkamp, Jiyin He, & Maarten de Rijke. (2008). Incorporating Non-Relevance Information in the Estimation of Query Models. UvA-DARE (University of Amsterdam). 4 indexed citations

17.

Meij, Edgar & Maarten de Rijke. (2008). The University of Amsterdam at the CLEF 2008 Domain Specific Track : Parsimonious relevance and concept models. UvA-DARE (University of Amsterdam). 2 indexed citations

18.

Balog, Krisztian, Edgar Meij, & Maarten de Rijke. (2007). Language Models for Enterprise Search: Query Expansion and Combination of Evidence. UvA-DARE (University of Amsterdam). 4 indexed citations

19.

Meij, Edgar & Maarten de Rijke. (2007). Integrating Conceptual Knowledge Into Relevance Models: A Model and Estimation Method. Nature. 364(6436). 374–374. 3 indexed citations

20.

Meij, Edgar, et al.. (2005). Combining thesauri-based methods for biomedical retrieval. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 4 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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