Craig Larman

4 papers and 622 indexed citations i.

About

Craig Larman is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Craig Larman has authored 4 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Software. Recurrent topics in Craig Larman’s work include Advanced Software Engineering Methodologies (2 papers), Software Engineering Research (2 papers) and Software Engineering Techniques and Practices (1 paper). Craig Larman is often cited by papers focused on Advanced Software Engineering Methodologies (2 papers), Software Engineering Research (2 papers) and Software Engineering Techniques and Practices (1 paper). Craig Larman collaborates with scholars based in United States. Craig Larman's co-authors include Victor R. Basili and has published in prestigious journals such as Computer, IEEE Software and Prentice Hall PTR eBooks.

In The Last Decade

Co-authorship network of co-authors of Craig Larman i

Fields of papers citing papers by Craig Larman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Craig Larman

Since Specialization
Citations

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