Raymie Stata

About

Raymie Stata is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Raymie Stata has authored 11 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Raymie Stata’s work include Software Engineering Research (5 papers), Logic, programming, and type systems (4 papers) and Software Reliability and Analysis Research (3 papers). Raymie Stata is often cited by papers focused on Software Engineering Research (5 papers), Logic, programming, and type systems (4 papers) and Software Reliability and Analysis Research (3 papers). Raymie Stata collaborates with scholars based in United States and Germany. Raymie Stata's co-authors include Farzin Maghoul, Janet L. Wiener, Ravi Kumar, Andrew Tomkins, Prabhakar Raghavan, Sridhar Rajagopalan, Andrei Broder, K. Rustan M. Leino, Greg Nelson and Cormac Flanagan and has published in prestigious journals such as Computer Networks, ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.

In The Last Decade

Co-authorship network of co-authors of Raymie Stata i

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Fields of papers citing papers by Raymie Stata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Raymie Stata

Since Specialization

Citations

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