Proceedings of the 2013 International Conference on Software Engineering
Impact in
- Software 286
- Journal
- International Conference on Software Engineering
In The Last Decade
doi.org/w3373134 →Countries where authors are citing Proceedings of the 2013 International Conference on Software Engineering
This map shows the geographic impact of Proceedings of the 2013 International Conference on Software Engineering. 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 Proceedings of the 2013 International Conference on Software Engineering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Proceedings of the 2013 International Conference on Software Engineering more than expected).
Fields of papers citing Proceedings of the 2013 International Conference on Software Engineering
This network shows the impact of Proceedings of the 2013 International Conference on Software Engineering. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Proceedings of the 2013 International Conference on Software Engineering.
About Proceedings of the 2013 International Conference on Software Engineering
This paper, published in 2013, received 622 indexed citations . Written by David Notkin, Betty H. C. Cheng and Klaus Pohl. It is primarily cited by scholars working on Information Systems (444 citations), Software (286 citations), Computer Networks and Communications (172 citations), Artificial Intelligence (158 citations) and Computer Science Applications (74 citations). Published in International Conference on Software Engineering.
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.
This paper is also available at doi.org/w3373134.