Software Process Improvement and Practice

344 papers and 4.2k indexed citations

About

The 344 papers published in Software Process Improvement and Practice in the last decades have received a total of 4.2k indexed citations. Papers published in Software Process Improvement and Practice usually cover Information Systems (293 papers), Management Information Systems (138 papers) and Artificial Intelligence (77 papers) specifically the topics of Software Engineering Techniques and Practices (241 papers), Software Engineering Research (161 papers) and Business Process Modeling and Analysis (96 papers). The most active scholars publishing in Software Process Improvement and Practice are Ulrich W. Eisenecker, Krzysztof Czarnecki, Simon Helsen, Daniel M. Germán, Werner Mellis, Dirk Stelzer, Ita Richardson, David Wilson, Hala Annabi and Darja Šmite.

In The Last Decade

Software Process Improvement and Practice

306 papers receiving 3.7k citations

Fields of papers published in Software Process Improvement and Practice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Software Process Improvement and Practice. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Software Process Improvement and Practice.

Countries where authors publish in Software Process Improvement and Practice

Since Specialization
Citations

This map shows the geographic impact of research published in Software Process Improvement and Practice. 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 papers published in Software Process Improvement and Practice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Software Process Improvement and Practice 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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