David K. Jackson
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
-
- Teaching and Learning Programming
Papers in
-
- Genomics and Phylogenetic Studies 5
- Epigenetics and DNA Methylation 3
-
- Software Engineering Research 5
- Co-authors
- Tony Cox (3 shared papers)Jun Fu (1 shared paper)Wendy Bushell (1 shared paper)Patrick J. Biggs (1 shared paper)Pieter J. de Jong (1 shared paper)William C. Skarnes (1 shared paper)Barry P. Rosen (1 shared paper)Michael Nefedov (1 shared paper)
- Journals
- Computers & Education (2 papers)BMC Genomics (2 papers)Clinical Infectious Diseases (1 paper)Scientific Reports (1 paper)Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David K. Jackson
38 papers receiving 3.4k citations
David K. Jackson's Hit Papers
Peers
Comparison fields: 5 of 173
- Software 206
- Computer Science Applications 281
- Biophysics 166
- Modeling and Simulation 126
- Molecular Biology 1.8k
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 43 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 | 1208 |
| 2 | Genomic evidence for reinfection with SARS-CoV-2: a case study Hit paper breakdown → | 2020 | 484 |
| 3 | 2008 | 470 | |
| 4 | 2008 | 290 | |
| 5 | 1997 | 201 | |
| 6 | 2008 | 176 | |
| 7 | 2017 | 103 | |
| 8 | 2008 | 73 | |
| 9 | 1997 | 58 | |
| 10 | 1989 | 54 | |
| 11 | 2000 | 49 | |
| 12 | 2007 | 49 | |
| 13 | 2020 | 42 | |
| 14 | 1996 | 41 | |
| 15 | 2014 | 40 | |
| 16 | 1988 | 35 | |
| 17 | 2007 | 26 | |
| 18 | 2008 | 23 | |
| 19 | 2012 | 16 | |
| 20 | 1991 | 15 |
About David K. Jackson
David K. Jackson is a scholar working on Molecular Biology, Information Systems, Hardware and Architecture, Computer Science Applications and Software, having authored 43 papers that have together received 3.5k indexed citations. Recurring topics across this work include Teaching and Learning Programming (6 papers), Genomics and Phylogenetic Studies (5 papers), Software Engineering Research (5 papers), Embedded Systems Design Techniques (5 papers), Parallel Computing and Optimization Techniques (4 papers), Respiratory viral infections research (3 papers), Software Testing and Debugging Techniques (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Software (206 citations), Computer Science Applications (281 citations), Biophysics (166 citations), Modeling and Simulation (126 citations) and Molecular Biology (1.8k citations). David K. Jackson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Tony Cox, Jun Fu, Wendy Bushell, Patrick J. Biggs, Pieter J. de Jong, William C. Skarnes, Barry P. Rosen, Michael Nefedov, Allan Bradley and Mark Thomas. Their work appears in journals such as Computers & Education, BMC Genomics, Clinical Infectious Diseases, Scientific Reports and Bioinformatics.
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.