Meghan Revelle

8 papers and 534 indexed citations i.

About

Meghan Revelle is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Meghan Revelle has authored 8 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 6 papers in Software and 3 papers in Artificial Intelligence. Recurrent topics in Meghan Revelle’s work include Software Engineering Research (8 papers), Software Reliability and Analysis Research (5 papers) and Software Testing and Debugging Techniques (4 papers). Meghan Revelle is often cited by papers focused on Software Engineering Research (8 papers), Software Reliability and Analysis Research (5 papers) and Software Testing and Debugging Techniques (4 papers). Meghan Revelle collaborates with scholars based in United States. Meghan Revelle's co-authors include Denys Poshyvanyk, Bogdan Dit, Malcom Gethers, Kai Tian and Collin McMillan and has published in prestigious journals such as Empirical Software Engineering, Journal of Software Evolution and Process and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Meghan Revelle i

Fields of papers citing papers by Meghan Revelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meghan Revelle

Since Specialization
Citations

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