Raviv Raich

89 papers and 1.5k indexed citations i.

About

Raviv Raich is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Raviv Raich has authored 89 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 27 papers in Signal Processing and 26 papers in Computer Vision and Pattern Recognition. Recurrent topics in Raviv Raich’s work include Sparse and Compressive Sensing Techniques (19 papers), Music and Audio Processing (13 papers) and Image Retrieval and Classification Techniques (11 papers). Raviv Raich is often cited by papers focused on Sparse and Compressive Sensing Techniques (19 papers), Music and Audio Processing (13 papers) and Image Retrieval and Classification Techniques (11 papers). Raviv Raich collaborates with scholars based in United States, Israel and United Kingdom. Raviv Raich's co-authors include G. Tong Zhou, Xiaoli Z. Fern, Alfred O. Hero, Forrest Briggs, Hua Qian, Lawrence Neal, Balaji Lakshminarayanan, Lei Ding, William G. Finn and Matthew G. Betts and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Raviv Raich i

Fields of papers citing papers by Raviv Raich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Raviv Raich

Since Specialization
Citations

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