Colin J. Neill
- Software top 5%
- Software Reliability and Analysis Research 5
- Information Systems top 2%
- Software Engineering Research 15
- Software Engineering Techniques and Practices 15
- Computer Science Applications top 10%
- Management Information Systems top 10%
- Artificial Intelligence top 5%
- Advanced Software Engineering Methodologies 14
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- Product Development and Customization 6
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- Team Dynamics and Performance 5
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- Systems Engineering Methodologies and Applications 5
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- Scientific Computing and Data Management 5
- Co-authors
- Phillip A. LaplanteRaghvinder S. SangwanJoanna F. DeFrancoMohamad KassabRoy B. ClarianaPhilip A. LaplanteSatish SrinivasanMatthew Bass
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Colin J. Neill
53 papers receiving 481 citations
Peers
Comparison fields: 5 of 71
- Software 90
- Information Systems 365
- Computer Science Applications 42
- Management Information Systems 61
- Artificial Intelligence 209
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
The 12 scholars most cited alongside Colin J. Neill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | Power of Predictive Analytics: Using Emotion Classification of Twitter Data for Predicting 2016 US Presidential Elections | 2019 | 2 |
| 3 | 2019 | 10 | |
| 4 | 2018 | 0 | |
| 5 | 2016 | 1 | |
| 6 | Software Development Practices and Software Quality: A Survey | 2014 | 2 |
| 7 | Antipatterns : managing software organizations and people | 2012 | 2 |
| 8 | 2012 | 1 | |
| 9 | Antipatterns in systems engineering: An opening trio | 2012 | 2 |
| 10 | 2010 | 1 | |
| 11 | 2010 | 31 | |
| 12 | 2010 | 5 | |
| 13 | 2008 | 3 | |
| 14 | 2007 | 1 | |
| 15 | 2006 | 15 | |
| 16 | 2005 | 13 | |
| 17 | 2004 | 2 | |
| 18 | 2003 | 6 | |
| 19 | 2003 | 1 | |
| 20 | 2002 | 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), Advanced Software Engineering Methodologies (14 papers), Product Development and Customization (6 papers), Software Reliability and Analysis Research (5 papers), Team Dynamics and Performance (5 papers), Systems Engineering Methodologies and Applications (5 papers) and Scientific Computing and Data Management (5 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 IT Professional, Computer, Systems Engineering, IEEE Systems Journal and European Journal of Engineering Education.
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.