Michael Jackson
Impact in
- Software top 5%
- Model-Driven Software Engineering Techniques
- Management Information Systems top 10%
- Business Process Modeling and Analysis
Papers in
-
- Software Engineering Research 1
-
- Logic, programming, and type systems 1
- Co-authors
- Simone Green (1 shared paper)Abiodun A. Adesiyun (1 shared paper)Sanjeev Patel (1 shared paper)J. Patrick Hole (1 shared paper)Richard Nudd (1 shared paper)Jens Tschmelak (1 shared paper)Ramadan A. Abuknesha (1 shared paper)Joachim Kaiser (1 shared paper)
- Journals
- The Computer Journal (1 paper)LISP and Symbolic Computation (1 paper)Journal of Food Protection (1 paper)Automated Software Engineering (1 paper)Microprocessing and Microprogramming (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Michael Jackson
6 papers receiving 319 citations
Peers
Comparison fields: 5 of 66
- Software 75
- Management Information Systems 71
- Information Systems 179
- Artificial Intelligence 160
- Computer Networks and Communications 77
Countries citing papers authored by Michael Jackson
This map shows the geographic impact of Michael Jackson'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 Michael Jackson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Jackson more than expected).
Fields of papers citing papers by Michael Jackson
This network shows the impact of papers produced by Michael Jackson. 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 Michael Jackson. The network helps show where Michael Jackson may publish in the future.
Co-authors
The 12 scholars most cited alongside Michael Jackson, 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 | 1980 | 223 | |
| 2 | 1995 | 116 | |
| 3 | 2002 | 25 | |
| 4 | 2017 | 1 | |
| 5 | 2004 | 1 | |
| 6 | 2000 | 1 | |
| 7 | 1995 | 0 | |
| 8 | 1989 | 0 |
About Michael Jackson
Michael Jackson is a scholar working on Information Systems, Artificial Intelligence, Molecular Biology, Industrial and Manufacturing Engineering and Development, having authored 8 papers that have together received 367 indexed citations. Recurring topics across this work include Software Engineering and Design Patterns (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Software Engineering Research (1 paper), Child Nutrition and Water Access (1 paper), Fecal contamination and water quality (1 paper), Logic, programming, and type systems (1 paper), bioluminescence and chemiluminescence research (1 paper) and Analytical Chemistry and Sensors (1 paper). The work is most often cited by research in Software (75 citations), Management Information Systems (71 citations), Information Systems (179 citations), Artificial Intelligence (160 citations) and Computer Networks and Communications (77 citations). Michael Jackson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Simone Green, Abiodun A. Adesiyun, Sanjeev Patel, J. Patrick Hole, Richard Nudd, Jens Tschmelak, Ramadan A. Abuknesha, Joachim Kaiser, Ping Hua and Güenter Gauglitz. Their work appears in journals such as The Computer Journal, LISP and Symbolic Computation, Journal of Food Protection, Automated Software Engineering and Microprocessing and Microprogramming.
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.