Moshe Chai Barukh

10 papers and 123 indexed citations i.

About

Moshe Chai Barukh is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Moshe Chai Barukh has authored 10 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 6 papers in Artificial Intelligence and 3 papers in Management Information Systems. Recurrent topics in Moshe Chai Barukh’s work include Topic Modeling (4 papers), Big Data and Business Intelligence (2 papers) and Spam and Phishing Detection (2 papers). Moshe Chai Barukh is often cited by papers focused on Topic Modeling (4 papers), Big Data and Business Intelligence (2 papers) and Spam and Phishing Detection (2 papers). Moshe Chai Barukh collaborates with scholars based in Australia, United States and Italy. Moshe Chai Barukh's co-authors include Boualem Benatallah, Rajiv Ranjan, Quan Z. Sheng, Amin Beheshti, Reza Nouri, Hamid Reza Motahari‐Nezhad, Hye-Young Paik, Fabio Casati, Carlos Rodríguez and Sherif Sakr and has published in prestigious journals such as ACM Computing Surveys, IEEE Internet Computing and Computing.

In The Last Decade

Co-authorship network of co-authors of Moshe Chai Barukh i

Fields of papers citing papers by Moshe Chai Barukh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Moshe Chai Barukh

Since Specialization
Citations

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