Solomon Garber

5 papers and 216 indexed citations i.

About

Solomon Garber is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Solomon Garber has authored 5 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Solomon Garber’s work include Adversarial Robustness in Machine Learning (2 papers), Video Analysis and Summarization (1 paper) and Distributed and Parallel Computing Systems (1 paper). Solomon Garber is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Video Analysis and Summarization (1 paper) and Distributed and Parallel Computing Systems (1 paper). Solomon Garber collaborates with scholars based in United States. Solomon Garber's co-authors include Aaditya Prakash, James A. Storer, Nick Moran, Antonella DiLillo, Olga Papaemmanouil and Ryan Marcus and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the 2022 International Conference on Management of Data and Data Compression Conference.

In The Last Decade

Co-authorship network of co-authors of Solomon Garber i

Fields of papers citing papers by Solomon Garber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Solomon Garber

Since Specialization
Citations

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