Haim Dubossarsky

About

Haim Dubossarsky is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haim Dubossarsky has authored 11 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haim Dubossarsky’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (2 papers). Haim Dubossarsky is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (2 papers). Haim Dubossarsky collaborates with scholars based in United Kingdom, Israel and Germany. Haim Dubossarsky's co-authors include Thomas T. Hills, Simon De Deyne, Daphna Weinshall, Eitan Grossman, Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Nina Tahmasebi, Timothy E.J. Behrens and Avital Hahamy and has published in prestigious journals such as Nature Neuroscience, Developmental Psychology and Apollo (University of Cambridge).

In The Last Decade

Co-authorship network of co-authors of Haim Dubossarsky i

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Fields of papers citing papers by Haim Dubossarsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haim Dubossarsky

Since Specialization

Citations

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