Jim Hugunin
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Model-Driven Software Engineering Techniques
- Information Systems top 2%
- Software Engineering Research
- Service-Oriented Architecture and Web Services
- Software Engineering Techniques and Practices
Papers in
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- Advanced Software Engineering Methodologies 6
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- Software System Performance and Reliability 5
- Distributed and Parallel Computing Systems 1
- Co-authors
- Erik Hilsdale (4 shared papers)Gregor Kiczales (3 shared papers)Mik Kersten (3 shared papers)Jeffrey Palm (2 shared papers)William G. Griswold (1 shared paper)Victor W. Zue (1 shared paper)Cristina Green (1 shared paper)Yvonne Coady (1 shared paper)
- Journals
- Communications of the ACM (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jim Hugunin
9 papers receiving 506 citations
Peers
Comparison fields: 5 of 36
- Software 129
- Information Systems 438
- Artificial Intelligence 518
- Computer Networks and Communications 231
- Hardware and Architecture 32
Countries citing papers authored by Jim Hugunin
This map shows the geographic impact of Jim Hugunin'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 Jim Hugunin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Hugunin more than expected).
Fields of papers citing papers by Jim Hugunin
This network shows the impact of papers produced by Jim Hugunin. 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 Jim Hugunin. The network helps show where Jim Hugunin may publish in the future.
Co-authors
The 11 scholars most cited alongside Jim Hugunin, 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 | 2001 | 324 | |
| 2 | 2004 | 217 | |
| 3 | Python and Java: The Best of Both Worlds | 1997 | 15 |
| 4 | Aspect-Oriented Programming The Fun Has Just Begun | 2002 | 15 |
| 5 | 2003 | 12 | |
| 6 | 1997 | 7 | |
| 7 | 2007 | 4 | |
| 8 | 2000 | 1 | |
| 9 | 2003 | 1 |
About Jim Hugunin
Jim Hugunin is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, General Health Professions and Information Systems and Management, having authored 9 papers that have together received 596 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (6 papers), Software System Performance and Reliability (5 papers), Service-Oriented Architecture and Web Services (4 papers), Hermeneutics and Narrative Identity (1 paper), Aging, Elder Care, and Social Issues (1 paper), Personal Information Management and User Behavior (1 paper), Usability and User Interface Design (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Software (129 citations), Information Systems (438 citations), Artificial Intelligence (518 citations), Computer Networks and Communications (231 citations) and Hardware and Architecture (32 citations). Jim Hugunin has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Erik Hilsdale, Gregor Kiczales, Mik Kersten, Jeffrey Palm, William G. Griswold, Victor W. Zue, Cristina Green, Yvonne Coady, Gail C. Murphy and Kris De Volder. Their work appears in journals such as Communications of the ACM.
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.