Dav Zimak

4 papers and 158 indexed citations i.

About

Dav Zimak is a scholar working on Artificial Intelligence, Computational Mechanics and Industrial relations. According to data from OpenAlex, Dav Zimak has authored 4 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computational Mechanics and 0 papers in Industrial relations. Recurrent topics in Dav Zimak’s work include Machine Learning and Algorithms (3 papers), Imbalanced Data Classification Techniques (2 papers) and Neural Networks and Applications (1 paper). Dav Zimak is often cited by papers focused on Machine Learning and Algorithms (3 papers), Imbalanced Data Classification Techniques (2 papers) and Neural Networks and Applications (1 paper). Dav Zimak collaborates with scholars based in United States. Dav Zimak's co-authors include Dan Roth, Sariel Har-Peled, Vasin Punyakanok and Wen-tau Yih and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Joint Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Dav Zimak i

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.

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).

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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2025