Neil Iscoe
- Information Systems top 0.5%
- Computer Science Applications top 0.5%
- Management Information Systems top 2%
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Topics
- Software Engineering Research (6 papers)Software Engineering Techniques and Practices (4 papers)Advanced Software Engineering Methodologies (4 papers)
- Journals
- Communications of the ACMIEEE SoftwareIEEE Computer Society Press eBooks
- Partner nations
- United States
In The Last Decade
Neil Iscoe
8 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Information Systems 1.2k
- Computer Science Applications 420
- Management Information Systems 320
- Artificial Intelligence 286
- Sociology and Political Science 175
Countries citing papers authored by Neil Iscoe
This map shows the geographic impact of Neil Iscoe'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 Neil Iscoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Iscoe more than expected).
Fields of papers citing papers by Neil Iscoe
This network shows the impact of papers produced by Neil Iscoe. 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 Neil Iscoe. The network helps show where Neil Iscoe may publish in the future.
Co-authorship network of co-authors of Neil Iscoe
This figure shows the co-authorship network connecting the top 25 collaborators of Neil Iscoe. A scholar is included among the top collaborators of Neil Iscoe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neil Iscoe. Neil Iscoe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Model-based software design | 2 |
| 2 | 23 | |
| 3 | 2 | |
| 4 | Domain-specific programming: an object-oriented and knowledge-based approach to specification and generation | 2 |
| 5 | Generating Domain Models for Program Specification and Generation | 1 |
| 6 | Domain-specific reuse: an object-oriented and knowledge-based approach | 0 |
| 7 | A field study of the software design process for large systemsbreakdown → | 1465 |
| 8 | Communication breakdowns and boundary spanning activities on large programming projects | 54 |
| 9 | 2 |
About Neil Iscoe
Neil Iscoe is a scholar working on Software, Information Systems and Computer Science Applications, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Software Engineering Research (6 papers), Software Engineering Techniques and Practices (4 papers) and Advanced Software Engineering Methodologies (4 papers). The work is most often cited by research in Computer Science Applications (420 citations), Information Systems (1.2k citations) and Software (150 citations). Neil Iscoe has collaborated with scholars based in United States. Frequent co-authors include Bill Curtis, Herb Krasner, Guillermo Arango, Miroslaw Malek, James C. Browne and Zhengyang Liu. Their work appears in journals such as Communications of the ACM, IEEE Software and IEEE Computer Society Press eBooks.
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.