John Noll
Impact in
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- Open Source Software Innovations
- Information Systems top 1%
- Software Engineering Techniques and Practices
- Software Engineering Research
- Service-Oriented Architecture and Web Services
Papers in ⓘ
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- Software Engineering Techniques and Practices 34
- Software Engineering Research 24
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- Open Source Software Innovations 18
- Co-authors
- Sarah Beecham (31 shared papers)Ita Richardson (13 shared papers)Walt Scacchi (6 shared papers)Tony Clear (5 shared papers)John Barr (4 shared papers)Michael J. Oudshoorn (3 shared papers)Mats Daniels (3 shared papers)Jennifer Preece (1 shared paper)
- Journals
- IEEE Software (2 papers)Computer (2 papers)American Journal of Psychiatry (2 papers)Journal of Network and Computer Applications (1 paper)Science of Computer Programming (1 paper)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
John Noll
60 papers receiving 872 citations
Peers
Comparison fields: 5 of 77
- Computer Science Applications 301
- Information Systems 606
- Communication 159
- Management Information Systems 148
- Software 40
Countries citing papers authored by John Noll
This map shows the geographic impact of John Noll'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 John Noll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Noll more than expected).
Fields of papers citing papers by John Noll
This network shows the impact of papers produced by John Noll. 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 John Noll. The network helps show where John Noll may publish in the future.
Co-authors
The 25 scholars most cited alongside John Noll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 191 | |
| 2 | 2002 | 95 | |
| 3 | 1978 | 50 | |
| 4 | 2015 | 48 | |
| 5 | 2017 | 34 | |
| 6 | 1991 | 29 | |
| 7 | 2001 | 28 | |
| 8 | 1991 | 28 | |
| 9 | 1997 | 26 | |
| 10 | 2014 | 26 | |
| 11 | 2013 | 23 | |
| 12 | 2017 | 21 | |
| 13 | 2010 | 18 | |
| 14 | 2018 | 18 | |
| 15 | 2006 | 18 | |
| 16 | 2010 | 18 | |
| 17 | 2014 | 17 | |
| 18 | 2011 | 16 | |
| 19 | 2017 | 16 | |
| 20 | 1976 | 14 |
About John Noll
John Noll is a scholar working on Information Systems, Computer Science Applications, Artificial Intelligence, Management Information Systems and Communication, having authored 60 papers that have together received 977 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (34 papers), Software Engineering Research (24 papers), Open Source Software Innovations (18 papers), Advanced Software Engineering Methodologies (10 papers), Business Process Modeling and Analysis (7 papers), Semantic Web and Ontologies (6 papers), Knowledge Management and Sharing (5 papers) and Social and Cultural Studies (4 papers). The work is most often cited by research in Computer Science Applications (301 citations), Information Systems (606 citations), Communication (159 citations), Management Information Systems (148 citations) and Software (40 citations). John Noll has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Sarah Beecham, Ita Richardson, Walt Scacchi, Tony Clear, John Barr, Michael J. Oudshoorn, Mats Daniels, Jennifer Preece, Michael Bieber and Richard Furuta. Their work appears in journals such as IEEE Software, Computer, American Journal of Psychiatry, Journal of Network and Computer Applications and Science of Computer Programming.
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.