Boaz Lerner

60 papers and 931 indexed citations i.

About

Boaz Lerner is a scholar working on Artificial Intelligence, Molecular Biology and Neurology. According to data from OpenAlex, Boaz Lerner has authored 60 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 23 papers in Molecular Biology and 7 papers in Neurology. Recurrent topics in Boaz Lerner’s work include Gene expression and cancer classification (16 papers), Bayesian Modeling and Causal Inference (12 papers) and Neural Networks and Applications (7 papers). Boaz Lerner is often cited by papers focused on Gene expression and cancer classification (16 papers), Bayesian Modeling and Causal Inference (12 papers) and Neural Networks and Applications (7 papers). Boaz Lerner collaborates with scholars based in Israel, United Kingdom and United States. Boaz Lerner's co-authors include Hugo Guterman, I. Dinstein, Irad Ben‐Gal, Eran Toch, Mayer Aladjem, Yitzhak Romem, Maj Hultén, Gad Rabinowitz, Yair Meidan and William F. Clocksin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Proteins Structure Function and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Boaz Lerner i

Fields of papers citing papers by Boaz Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Boaz Lerner

Since Specialization
Citations

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