Edgar Meij
- Artificial Intelligence top 1%
- Information Systems top 1%
- Management Science and Operations Research top 5%
- Signal Processing top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Maarten de RijkeWouter WeerkampRoi BlancoGiuseppe OttavianoKrisztian BalogDaan OdijkLaura DietzAlexander Kotov
- Topics
- Topic Modeling (48 papers)Semantic Web and Ontologies (26 papers)Information Retrieval and Search Behavior (24 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Edgar Meij
76 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 880
- Information Systems 480
- Management Science and Operations Research 145
- Signal Processing 96
- Computer Networks and Communications 93
Countries citing papers authored by Edgar Meij
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 49 | |
| 4 | 37 | |
| 5 | 23 | |
| 6 | Overview of RepLab 2012: Evaluating Online Reputation Management Systems | 41 |
| 7 | Team COMMIT at TREC 2011 | 2 |
| 8 | The University of Amsterdam at TREC 2012 | 8 |
| 9 | The University of Amsterdam at the TREC 2011 Session Track | 2 |
| 10 | 0 | |
| 11 | Heuristic ranking and diversification of web documents | 8 |
| 12 | The University of Amsterdam at TREC 2010: Session, Entity, and Relevance Feedback | 7 |
| 13 | Topical Diversity and Relevance Feedback | 0 |
| 14 | 27 | |
| 15 | 31 | |
| 16 | Incorporating Non-Relevance Information in the Estimation of Query Models | 4 |
| 17 | The University of Amsterdam at the CLEF 2008 Domain Specific Track : Parsimonious relevance and concept models | 2 |
| 18 | Language Models for Enterprise Search: Query Expansion and Combination of Evidence | 4 |
| 19 | 3 | |
| 20 | Combining thesauri-based methods for biomedical retrieval | 4 |
About Edgar Meij
Edgar Meij is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (48 papers), Semantic Web and Ontologies (26 papers) and Information Retrieval and Search Behavior (24 papers). The work is most often cited by research in Artificial Intelligence (880 citations), Information Systems (480 citations) and Management Science and Operations Research (145 citations). Edgar Meij has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent 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. Their work appears in journals such as Nature, BMC Bioinformatics and BMC Public Health.
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.