David J. Barnes
- Computer Science Applications top 0.5%
- Molecular Biology
- Developmental and Educational Psychology top 5%
- Information Systems top 5%
- Media Technology top 5%
- Co-authors
- Michael KöllingDominique ChuFred NaiderJeffrey M. BeckerTobias von der HaarMichael BreslavMichael GoldweberPamela B. Lawhead
- Topics
- Teaching and Learning Programming (15 papers)Embedded Systems Design Techniques (6 papers)Experimental Learning in Engineering (5 papers)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
David J. Barnes
42 papers receiving 882 citations
Peers
Comparison fields: 5 of 119
- Computer Science Applications 435
- Molecular Biology 221
- Developmental and Educational Psychology 155
- Information Systems 142
- Media Technology 109
Countries citing papers authored by David J. Barnes
This map shows the geographic impact of David J. Barnes'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 J. Barnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Barnes more than expected).
Fields of papers citing papers by David J. Barnes
This network shows the impact of papers produced by David J. Barnes. 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 J. Barnes. The network helps show where David J. Barnes may publish in the future.
Co-authorship network of co-authors of David J. Barnes
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Barnes. A scholar is included among the top collaborators of David J. Barnes 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 J. Barnes. David J. Barnes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 69 | |
| 3 | 0 | |
| 4 | A study of loop style and abstraction in pedagogic practice | 2 |
| 5 | 59 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | Objects First With Java: A Practical Introduction Using BlueJ (3rd Edition) | 52 |
| 9 | 19 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 72 | |
| 14 | Object-oriented programming with Java: an introduction | 7 |
| 15 | 65 | |
| 16 | 73 | |
| 17 | An Analysis of World-Wide Web Proxy Cache Performance and its Application to the Modelling and Simulation of Network Traffic | 2 |
| 18 | Developing and adapting UNIX tools for workstations | 7 |
| 19 | Software engineering 86 | 2 |
| 20 | 4 |
About David J. Barnes
David J. Barnes is a scholar working on Computer Science Applications, Hardware and Architecture and Software, having authored 45 papers that have together received 934 indexed citations. Recurring topics across this work include Teaching and Learning Programming (15 papers), Embedded Systems Design Techniques (6 papers) and Experimental Learning in Engineering (5 papers). The work is most often cited by research in Computer Science Applications (435 citations), Software (90 citations) and Media Technology (109 citations). David J. Barnes has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Michael Kölling, Dominique Chu, Fred Naider, Jeffrey M. Becker, Tobias von der Haar, Michael Breslav, Michael Goldweber, Pamela B. Lawhead, Melinda Hauser and Mark Lubkowitz. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.
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.