David K. Jackson
Impact in
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- Teaching and Learning Programming
- Software top 2%
- Software Testing and Debugging Techniques
Papers in
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- Genomics and Phylogenetic Studies 4
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- Software Engineering Research 6
- Co-authors
- Tony Cox (4 shared papers)A. Francis Stewart (1 shared paper)Barry P. Rosen (1 shared paper)Jessica Severin (1 shared paper)Pieter J. de Jong (1 shared paper)Anthony P. West (1 shared paper)Patrick J. Biggs (1 shared paper)Mark Thomas (1 shared paper)
- Journals
- Computers & Education (2 papers)BMC Genomics (2 papers)Bioinformatics (1 paper)The Lancet Infectious Diseases (1 paper)Genome Research (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David K. Jackson
47 papers receiving 3.7k citations
David K. Jackson's Hit Papers
Peers
Comparison fields: 5 of 174
- Computer Science Applications 328
- Software 228
- Biophysics 174
- Molecular Biology 1.8k
- Infectious Diseases 454
Countries citing papers authored by David K. Jackson
This map shows the geographic impact of David K. 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 David K. Jackson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David K. Jackson more than expected).
Fields of papers citing papers by David K. Jackson
This network shows the impact of papers produced by David K. 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 David K. Jackson. The network helps show where David K. Jackson may publish in the future.
Co-authors
The 25 scholars most cited alongside David K. 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
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A conditional knockout resource for the genome-wide study of mouse gene function Hit paper breakdown → | 2011 | 1249 |
| 2 | A Novel CpG Island Set Identifies Tissue-Specific Methylation at Developmental Gene Loci Hit paper breakdown → | 2008 | 503 |
| 3 | 2020 | 495 | |
| 4 | 2008 | 310 | |
| 5 | 1997 | 215 | |
| 6 | 2008 | 180 | |
| 7 | 2017 | 110 | |
| 8 | 1997 | 94 | |
| 9 | 2008 | 81 | |
| 10 | 1989 | 57 | |
| 11 | 1988 | 56 | |
| 12 | 2007 | 55 | |
| 13 | 2000 | 51 | |
| 14 | 2020 | 44 | |
| 15 | 1996 | 42 | |
| 16 | 2010 | 41 | |
| 17 | 2014 | 40 | |
| 18 | 2010 | 35 | |
| 19 | 2007 | 27 | |
| 20 | 2008 | 24 |
About David K. Jackson
David K. Jackson is a scholar working on Molecular Biology, Information Systems, Hardware and Architecture, Artificial Intelligence and Computer Science Applications, having authored 51 papers that have together received 3.9k indexed citations. Recurring topics across this work include Teaching and Learning Programming (7 papers), Evolutionary Algorithms and Applications (6 papers), Software Engineering Research (6 papers), Embedded Systems Design Techniques (5 papers), Parallel Computing and Optimization Techniques (5 papers), Software Testing and Debugging Techniques (4 papers), Genomics and Phylogenetic Studies (4 papers) and Experimental Learning in Engineering (3 papers). The work is most often cited by research in Computer Science Applications (328 citations), Software (228 citations), Biophysics (174 citations), Molecular Biology (1.8k citations) and Infectious Diseases (454 citations). David K. Jackson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Tony Cox, A. Francis Stewart, Barry P. Rosen, Jessica Severin, Pieter J. de Jong, Anthony P. West, Patrick J. Biggs, Mark Thomas, Vivek Iyer and Manousos Koutsourakis. Their work appears in journals such as Computers & Education, BMC Genomics, Bioinformatics, The Lancet Infectious Diseases and Genome Research.
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.