David S. Rosenberg

About

David S. Rosenberg is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, David S. Rosenberg has authored 9 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computational Mechanics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in David S. Rosenberg’s work include Domain Adaptation and Few-Shot Learning (4 papers), Sparse and Compressive Sensing Techniques (2 papers) and Supply Chain and Inventory Management (2 papers). David S. Rosenberg is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Sparse and Compressive Sensing Techniques (2 papers) and Supply Chain and Inventory Management (2 papers). David S. Rosenberg collaborates with scholars based in United States. David S. Rosenberg's co-authors include Vikas Sindhwani, Peter L. Bartlett, Partha Niyogi, Ben Taskar, Tony Jebara, Robert E. Schapire and Dan Klein and has published in prestigious journals such as IEEE Signal Processing Magazine, IIE Transactions and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of David S. Rosenberg i

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Fields of papers citing papers by David S. Rosenberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Rosenberg. 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 David S. Rosenberg. The network helps show where David S. Rosenberg may publish in the future.

Countries citing papers authored by David S. Rosenberg

Since Specialization

Citations

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