Software Cost Estimation With Cocomo II
Impact in
- Software 623
Classified as
- Journal
- Medical Entomology and Zoology
In The Last Decade
doi.org/w56142355 →Countries where authors are citing Software Cost Estimation With Cocomo II
This map shows the geographic impact of Software Cost Estimation With Cocomo II. 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 Software Cost Estimation With Cocomo II with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Software Cost Estimation With Cocomo II more than expected).
Fields of papers citing Software Cost Estimation With Cocomo II
This network shows the impact of Software Cost Estimation With Cocomo II. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Software Cost Estimation With Cocomo II.
About Software Cost Estimation With Cocomo II
This paper, published in 2000, received 1.2k indexed citations . Written by Barry Boehm, Chris Abts, Allen W. Brown, Sunita Chulani, Bradford Clark, Ellis Horowitz, Raymond Madachy, Donald J. Reifer and Bert M. Steece covering the research area of Information Systems. It is primarily cited by scholars working on Information Systems (961 citations), Software (623 citations), Artificial Intelligence (199 citations), Computer Networks and Communications (168 citations) and Management Information Systems (109 citations). Published in Medical Entomology and Zoology.
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/w56142355.