Jack Orenstein

14 papers and 598 indexed citations i.

About

Jack Orenstein is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Jack Orenstein has authored 14 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 7 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Jack Orenstein’s work include Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (7 papers) and Geographic Information Systems Studies (4 papers). Jack Orenstein is often cited by papers focused on Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (7 papers) and Geographic Information Systems Studies (4 papers). Jack Orenstein collaborates with scholars based in United States and Canada. Jack Orenstein's co-authors include Frank Manola, Luc Devroye and T. H. Merrett and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and ACM SIGMOD Record.

In The Last Decade

Co-authorship network of co-authors of Jack Orenstein i

Fields of papers citing papers by Jack Orenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jack Orenstein

Since Specialization
Citations

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