David Bowers
- Co-authors
- Thomas Groot-WassinkMala ParthasarathyMartin GreensmithAllan HouseMihaela SabinKevin WaughMichael A. NewtonDavid Kolb
- Topics
- Higher Education Learning Practices (13 papers)Information Systems Education and Curriculum Development (10 papers)Higher Education and Employability (6 papers)
- Journals
- European Journal of Clinical NutritionThe American StatisticianJournal of Surgical Research
- Partner nations
- United KingdomUnited StatesEgypt
In The Last Decade
David Bowers
41 papers receiving 592 citations
Peers
Comparison fields: 5 of 129
- Oncology 185
- Surgery 128
- Information Systems 111
- Education 99
- Cardiology and Cardiovascular Medicine 65
Countries citing papers authored by David Bowers
This map shows the geographic impact of David Bowers'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 Bowers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bowers more than expected).
Fields of papers citing papers by David Bowers
This network shows the impact of papers produced by David Bowers. 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 Bowers. The network helps show where David Bowers may publish in the future.
Co-authorship network of co-authors of David Bowers
This figure shows the co-authorship network connecting the top 25 collaborators of David Bowers. A scholar is included among the top collaborators of David Bowers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Bowers. David Bowers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | Exposing the Myth: Object-Relational Impedance Mismatch is a Wicked Problem | 4 |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | Exploring the Essence of an Object-Relational Impedance Mismatch - A novel technique based on Equivalence in the context of a Framework | 2 |
| 12 | Understanding object-relational mapping: A framework based approach | 10 |
| 13 | 46 | |
| 14 | Medical statistics from scratch : an introduction for health professionals | 35 |
| 15 | 33 | |
| 16 | Understanding Clinical Papers | 10 |
| 17 | 73 | |
| 18 | 2 | |
| 19 | From data to database (2nd ed.) | 0 |
| 20 | Statistics for economists | 2 |
About David Bowers
David Bowers is a scholar working on Information Systems, Computer Science Applications and Education, having authored 45 papers that have together received 648 indexed citations. Recurring topics across this work include Higher Education Learning Practices (13 papers), Information Systems Education and Curriculum Development (10 papers) and Higher Education and Employability (6 papers). The work is most often cited by research in Computer Science Applications (57 citations), Oncology (185 citations) and Information Systems (111 citations). David Bowers has collaborated with scholars based in United Kingdom, United States and Egypt. Frequent co-authors include Thomas Groot-Wassink, Mala Parthasarathy, Martin Greensmith, Allan House, Mihaela Sabin, Kevin Waugh, Michael A. Newton, David Kolb, Richard E. Boyatzis and David Protheroe. Their work appears in journals such as European Journal of Clinical Nutrition, The American Statistician and Journal of Surgical 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.