Dirk Groeneveld

720 total citations
4 papers, 29 citations indexed

About

Dirk Groeneveld is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dirk Groeneveld has authored 4 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Dirk Groeneveld's work include Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers) and Digital Media and Philosophy (1 paper). Dirk Groeneveld is often cited by papers focused on Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers) and Digital Media and Philosophy (1 paper). Dirk Groeneveld collaborates with scholars based in United States. Dirk Groeneveld's co-authors include Peter E. Clark, Oren Etzioni, Chris Clark, Bhavana Dalvi, Anthony Fader, Niket Tandon, Iz Beltagy, Michael Schmitz, Robert L. Logan and Ashish Sabharwal and has published in prestigious journals such as Leonardo and AI Magazine.

In The Last Decade

Dirk Groeneveld

3 papers receiving 27 citations

Peers

Dirk Groeneveld
Mehran Kazemi United States
Burcu Karagol Ayan United States
Hany Hassan Awadalla United States
Arthur Bražinskas United Kingdom
Ignatius Ezeani United Kingdom
Alex Polozov United States
Sushant Prakash United States
Clemencia Siro Netherlands
Mehran Kazemi United States
Dirk Groeneveld
Citations per year, relative to Dirk Groeneveld Dirk Groeneveld (= 1×) peers Mehran Kazemi

Countries citing papers authored by Dirk Groeneveld

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Groeneveld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dirk Groeneveld

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

All Works

4 of 4 papers shown
1.
Wu, Zhaofeng, et al.. (2022). Continued Pretraining for Better Zero- and Few-Shot Promptability. 4517–4531. 4 indexed citations
2.
Clark, Peter E., Oren Etzioni, Daniel Khashabi, et al.. (2020). From F to A on the New York Regents Science Exams — An Overview of the Aristo Project. AI Magazine. 41(4). 39–53. 13 indexed citations
3.
Dalvi, Bhavana, Chris Clark, Peter E. Clark, et al.. (2016). IKE - An Interactive Tool for Knowledge Extraction. 12–17. 12 indexed citations
4.
Shaw, Jeffrey & Dirk Groeneveld. (1993). Anamorphoses of Memory. Leonardo. 26(1). 83–83.

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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