Colin Higgins
- Computer Science Applications top 0.5%
- Information Systems top 2%
- Software top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Dave EllimanAthanasios TsintsifasMarzieh AhmadzadehSomaya Al-MáadeedD.G. EllimanBrett BlighTarek HegazyDavid L. Roman
- Topics
- Handwritten Text Recognition Techniques (13 papers)Teaching and Learning Programming (12 papers)Software Testing and Debugging Techniques (8 papers)
- Partner nations
- United KingdomSingaporeUnited States
In The Last Decade
Colin Higgins
49 papers receiving 843 citations
Peers
Comparison fields: 5 of 101
- Computer Science Applications 491
- Information Systems 260
- Software 255
- Artificial Intelligence 230
- Computer Vision and Pattern Recognition 227
Countries citing papers authored by Colin Higgins
This map shows the geographic impact of Colin Higgins'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 Colin Higgins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin Higgins more than expected).
Fields of papers citing papers by Colin Higgins
This network shows the impact of papers produced by Colin Higgins. 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 Colin Higgins. The network helps show where Colin Higgins may publish in the future.
Co-authorship network of co-authors of Colin Higgins
This figure shows the co-authorship network connecting the top 25 collaborators of Colin Higgins. A scholar is included among the top collaborators of Colin Higgins 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 Colin Higgins. Colin Higgins 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 | 3 | |
| 3 | 1 | |
| 4 | Measuring the impact of high quality instant feedback on learning | 5 |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 33 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 145 | |
| 13 | 4 | |
| 14 | 20 | |
| 15 | A Data Base for Arabic Handwritten Text Recognition Research. | 13 |
| 16 | 3 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 26 |
About Colin Higgins
Colin Higgins is a scholar working on Software, Computer Science Applications and Human-Computer Interaction, having authored 54 papers that have together received 949 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (13 papers), Teaching and Learning Programming (12 papers) and Software Testing and Debugging Techniques (8 papers). The work is most often cited by research in Computer Science Applications (491 citations), Software (255 citations) and Media Technology (172 citations). Colin Higgins has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Dave Elliman, Athanasios Tsintsifas, Marzieh Ahmadzadeh, Somaya Al-Máadeed, D.G. Elliman, Brett Bligh, Tarek Hegazy, David L. Roman, Jonathan A. Doorn and Peter Brusilovsky. Their work appears in journals such as Analytical Biochemistry, Computers & Education and Molecular Pharmacology.
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.