Moises Sudit

18 papers and 239 indexed citations i.

About

Moises Sudit is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Moises Sudit has authored 18 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Moises Sudit’s work include Advanced Graph Neural Networks (3 papers), Data Quality and Management (3 papers) and Network Security and Intrusion Detection (3 papers). Moises Sudit is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Data Quality and Management (3 papers) and Network Security and Intrusion Detection (3 papers). Moises Sudit collaborates with scholars based in United States. Moises Sudit's co-authors include Rakesh Nagi, Shanchieh Jay Yang, Michael E. Kuhl, Sanjay Joshi, Michael Kühl, Rajan Batta, Ronald L. Rardin, J. Salerno, Peter A. Rogerson and Ivan Kadar and has published in prestigious journals such as Journal of the Operational Research Society, Computers & Operations Research and Information Fusion.

In The Last Decade

Co-authorship network of co-authors of Moises Sudit i

Fields of papers citing papers by Moises Sudit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Moises Sudit

Since Specialization
Citations

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