Colin J. Neill
- Information Systems top 2%
- Artificial Intelligence top 5%
- Software top 5%
- Management Information Systems top 10%
- Computer Networks and Communications
- Co-authors
- Phillip A. LaplanteRaghvinder S. SangwanJoanna F. DeFrancoMohamad KassabRoy B. ClarianaPhilip A. LaplanteSatish SrinivasanMatthew Bass
- Topics
- Software Engineering Research (15 papers)Software Engineering Techniques and Practices (15 papers)Advanced Software Engineering Methodologies (14 papers)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Colin J. Neill
53 papers receiving 481 citations
Peers
Comparison fields: 5 of 71
- Information Systems 365
- Artificial Intelligence 209
- Software 90
- Management Information Systems 61
- Computer Networks and Communications 57
Countries citing papers authored by Colin J. Neill
This map shows the geographic impact of Colin J. Neill'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 Colin J. Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin J. Neill more than expected).
Fields of papers citing papers by Colin J. Neill
This network shows the impact of papers produced by Colin J. Neill. 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 Colin J. Neill. The network helps show where Colin J. Neill may publish in the future.
Co-authorship network of co-authors of Colin J. Neill
This figure shows the co-authorship network connecting the top 25 collaborators of Colin J. Neill. A scholar is included among the top collaborators of Colin J. Neill 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 Colin J. Neill. Colin J. Neill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Power of Predictive Analytics: Using Emotion Classification of Twitter Data for Predicting 2016 US Presidential Elections | 2 |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | Software Development Practices and Software Quality: A Survey | 2 |
| 7 | Antipatterns : managing software organizations and people | 2 |
| 8 | 1 | |
| 9 | Antipatterns in systems engineering: An opening trio | 2 |
| 10 | 1 | |
| 11 | 31 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | 13 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 3 |
About Colin J. Neill
Colin J. Neill is a scholar working on Software, Information Systems and Computer Graphics and Computer-Aided Design, having authored 57 papers that have together received 548 indexed citations. Recurring topics across this work include Software Engineering Research (15 papers), Software Engineering Techniques and Practices (15 papers) and Advanced Software Engineering Methodologies (14 papers). The work is most often cited by research in Software (90 citations), Information Systems (365 citations) and Computer Science Applications (42 citations). Colin J. Neill has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Phillip A. Laplante, Raghvinder S. Sangwan, Joanna F. DeFranco, Mohamad Kassab, Roy B. Clariana, Philip A. Laplante, Satish Srinivasan, Matthew Bass, Jon Holt and Michael J. Piovoso. Their work appears in journals such as Computer, IEEE Software and Journal of Systems and Software.
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.