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
-
- Advanced Software Engineering Methodologies 1
- Co-authors
- Sanjeev Patel (1 shared paper)Abiodun A. Adesiyun (1 shared paper)Simone Green (1 shared paper)Jens Tschmelak (1 shared paper)Ramadan A. Abuknesha (1 shared paper)Güenter Gauglitz (1 shared paper)James S. Wilkinson (1 shared paper)Ping Hua (1 shared paper)
- Journals
- LISP and Symbolic Computation (1 paper)Automated Software Engineering (1 paper)Journal of Food Protection (1 paper)The Computer Journal (1 paper)Microprocessing and Microprogramming (1 paper)
- Partner nations
- United KingdomJamaicaGermany
In The Last Decade
Michael Jackson
6 papers receiving 319 citations
Peers
Comparison fields: 5 of 64
- Software 75
- Management Information Systems 72
- Information Systems 180
- Artificial Intelligence 159
- Computer Networks and Communications 76
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 | 1989 | 0 | |
| 8 | 1995 | 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 Analytical Chemistry and Sensors (1 paper), Fecal contamination and water quality (1 paper), Model-Driven Software Engineering Techniques (1 paper), Software Engineering and Design Patterns (1 paper), Child Nutrition and Water Access (1 paper), Advanced Software Engineering Methodologies (1 paper), Software Engineering Research (1 paper) and Wastewater Treatment and Reuse (1 paper). The work is most often cited by research in Software (75 citations), Management Information Systems (72 citations), Information Systems (180 citations), Artificial Intelligence (159 citations) and Computer Networks and Communications (76 citations). Michael Jackson has collaborated with scholars based in United Kingdom, Jamaica and Germany. Frequent co-authors include Sanjeev Patel, Abiodun A. Adesiyun, Simone Green, Jens Tschmelak, Ramadan A. Abuknesha, Güenter Gauglitz, James S. Wilkinson, Ping Hua, J. Patrick Hole and Güenther Proll. Their work appears in journals such as LISP and Symbolic Computation, Automated Software Engineering, Journal of Food Protection, The Computer Journal 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.