Ami Wiesel

59 papers and 2.8k indexed citations i.

About

Ami Wiesel is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Ami Wiesel has authored 59 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 21 papers in Statistics and Probability and 15 papers in Signal Processing. Recurrent topics in Ami Wiesel’s work include Statistical Methods and Inference (15 papers), Sparse and Compressive Sensing Techniques (12 papers) and Advanced Statistical Methods and Models (11 papers). Ami Wiesel is often cited by papers focused on Statistical Methods and Inference (15 papers), Sparse and Compressive Sensing Techniques (12 papers) and Advanced Statistical Methods and Models (11 papers). Ami Wiesel collaborates with scholars based in Israel, United States and France. Ami Wiesel's co-authors include Yonina C. Eldar, Shlomo Shamai, Alfred O. Hero, Tzvi Diskin, Yilun Chen, Yilun Chen, Janice Chen, Erez Simony, Olga Lositsky and Yaara Yeshurun and has published in prestigious journals such as Nature Communications, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Ami Wiesel i

Fields of papers citing papers by Ami Wiesel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ami Wiesel

Since Specialization
Citations

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