Chris Schofield
Impact in
- Software top 2%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 2%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
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- Software System Performance and Reliability 2
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- Software Engineering Research 2
- Co-authors
- Martin Shepperd (2 shared papers)Barbara Kitchenham (1 shared paper)Carolyn Mair (1 shared paper)Keith Phalp (1 shared paper)Gada Kadoda (1 shared paper)Martin Lefley (1 shared paper)Steve Webster (1 shared paper)François Noireau (1 shared paper)
- Journals
- Journal of Systems and Software (1 paper)Circulation Research (1 paper)ChemMedChem (1 paper)International Journal of Antimicrobial Agents (1 paper)Health Policy and Planning (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Chris Schofield
7 papers receiving 566 citations
Peers
Comparison fields: 5 of 97
- Software 273
- Information Systems 344
- Applied Microbiology and Biotechnology 14
- Molecular Medicine 34
- Insect Science 71
Countries citing papers authored by Chris Schofield
This map shows the geographic impact of Chris Schofield'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 Chris Schofield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Schofield more than expected).
Fields of papers citing papers by Chris Schofield
This network shows the impact of papers produced by Chris Schofield. 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 Chris Schofield. The network helps show where Chris Schofield may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Schofield, 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 | 1996 | 219 | |
| 2 | 2000 | 211 | |
| 3 | 1999 | 111 | |
| 4 | 1994 | 41 | |
| 5 | 2020 | 40 | |
| 6 | 2018 | 11 | |
| 7 | 2011 | 1 |
About Chris Schofield
Chris Schofield is a scholar working on Computer Networks and Communications, Information Systems, Software, Surgery and Molecular Biology, having authored 7 papers that have together received 634 indexed citations. Recurring topics across this work include Software System Performance and Reliability (2 papers), Software Reliability and Analysis Research (2 papers), Software Engineering Research (2 papers), Ubiquitin and proteasome pathways (1 paper), Trypanosoma species research and implications (1 paper), Zoonotic diseases and public health (1 paper), Protein Degradation and Inhibitors (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Software (273 citations), Information Systems (344 citations), Applied Microbiology and Biotechnology (14 citations), Molecular Medicine (34 citations) and Insect Science (71 citations). Chris Schofield has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Martin Shepperd, Barbara Kitchenham, Carolyn Mair, Keith Phalp, Gada Kadoda, Martin Lefley, Steve Webster, François Noireau, Francisco Panzera and Charles B. Beard. Their work appears in journals such as Journal of Systems and Software, Circulation Research, ChemMedChem, International Journal of Antimicrobial Agents and Health Policy and Planning.
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.