Moshe Wasserblat

7 papers and 36 indexed citations i.

About

Moshe Wasserblat is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing. According to data from OpenAlex, Moshe Wasserblat has authored 7 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 1 paper in Management Science and Operations Research and 1 paper in Signal Processing. Recurrent topics in Moshe Wasserblat’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (3 papers) and Advanced Text Analysis Techniques (3 papers). Moshe Wasserblat is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (3 papers) and Advanced Text Analysis Techniques (3 papers). Moshe Wasserblat collaborates with scholars based in Israel and United States. Moshe Wasserblat's co-authors include Oren Pereg, Yaniv Zigel, Jonathan Mamou, Ido Dagan, Peter Izsak, Ana Paula Simões‐Wüst and Yoav Goldberg and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), arXiv (Cornell University) and International Conference on Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Moshe Wasserblat i

Fields of papers citing papers by Moshe Wasserblat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Moshe Wasserblat

Since Specialization
Citations

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