Dav Zimak

816 total citations
8 papers, 384 citations indexed

About

Dav Zimak is a scholar working on Artificial Intelligence, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Dav Zimak has authored 8 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 1 paper in Computational Mechanics and 1 paper in Computational Theory and Mathematics. Recurrent topics in Dav Zimak's work include Machine Learning and Algorithms (5 papers), Natural Language Processing Techniques (3 papers) and Topic Modeling (3 papers). Dav Zimak is often cited by papers focused on Machine Learning and Algorithms (5 papers), Natural Language Processing Techniques (3 papers) and Topic Modeling (3 papers). Dav Zimak collaborates with scholars based in United States. Dav Zimak's co-authors include Dan Roth, Vasin Punyakanok, Sariel Har-Peled and Wen-tau Yih and has published in prestigious journals such as ArXiv.org, Neural Information Processing Systems and International Joint Conference on Artificial Intelligence.

In The Last Decade

Dav Zimak

8 papers receiving 348 citations

Peers

Dav Zimak
Song Bian China
Gregory V. Bard United States
Juan Miguel Vilar Spain
Siddharth Gopal United States
Bernhard Sch lkopf Germany
Muyun Yang China
Eugenia Ternovska Canada
Steffen Hölldobler Germany
Mitchell Stern United States
Franca Debole Italy
Song Bian China
Dav Zimak
Citations per year, relative to Dav Zimak Dav Zimak (= 1×) peers Song Bian

Countries citing papers authored by Dav Zimak

Since Specialization
Citations

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

Fields of papers citing papers by Dav Zimak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dav Zimak

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

All Works

8 of 8 papers shown
1.
Har-Peled, Sariel, Dan Roth, & Dav Zimak. (2007). Maximum margin coresets for active and noise tolerant learning. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 836–841. 25 indexed citations
2.
Roth, Dan & Dav Zimak. (2006). Algorithms and analysis for multi-category classification. 1 indexed citations
3.
Punyakanok, Vasin, Dan Roth, Wen-tau Yih, & Dav Zimak. (2005). Learning and inference over constrained output. International Joint Conference on Artificial Intelligence. 1124–1129. 61 indexed citations
4.
Punyakanok, Vasin, Dan Roth, Wen-tau Yih, & Dav Zimak. (2004). Learning via Inference over Structurally Constrained Output. 1 indexed citations
5.
Punyakanok, Vasin, Dan Roth, Wen-tau Yih, & Dav Zimak. (2004). Semantic role labeling via integer linear programming inference. 1346–es. 116 indexed citations
6.
Har-Peled, Sariel, Dan Roth, & Dav Zimak. (2002). Constraint Classification for Multiclass Classification and Ranking. Neural Information Processing Systems. 15. 809–816. 85 indexed citations
7.
Har-Peled, Sariel, Dan Roth, & Dav Zimak. (2002). Constraint Classification: A New Approach to Multiclass Classification and Ranking. 47 indexed citations
8.
Punyakanok, Vasin, et al.. (2000). A Learning Approach to Shallow Parsing. ArXiv.org. 48 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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2026