Colin Higgins

1.4k citations
54 papers · 959 · h-index 14

Impact in

Papers in

Colin Higgins

49 papers receiving 854 citations

Peers

Colin Higgins
Comparison fields: 5 of 103
  • Computer Science Applications 492
  • Software 254
  • Media Technology 173
  • Information Systems 260
  • Computer Vision and Pattern Recognition 230
Replace Myles McNally with:
Myles McNally United States
Guido Rößling Germany
Thomas L. Naps United States
Ville Karavirta Finland
Sue Fitzgerald United States
Titus Barik United States
Roy P. Pargas United States
Geber Ramalho Brazil
Otto Seppälä Finland
Nasser Giacaman New Zealand
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Citations per field
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Citations per year

Countries citing papers authored by Colin Higgins

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Colin Higgins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Colin Higgins Line = papers co-authored together Colin Higgins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005146
2 2005111
3 200398
4 200372
5 200462
6 200259
7 200559
8 201236
9 200634
10 199526
11 200520
12 201019
13 200618
14 201615
15
A Data Base for Arabic Handwritten Text Recognition Research.
200413
16 200712
17 200112
18 201111
19 201510
20 200310

About Colin Higgins

Colin Higgins is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Computer Science Applications, Software and Artificial Intelligence, having authored 54 papers that have together received 959 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (13 papers), Teaching and Learning Programming (12 papers), Software Testing and Debugging Techniques (8 papers), Software Engineering Research (7 papers), Natural Language Processing Techniques (6 papers), Experimental Learning in Engineering (4 papers), Hand Gesture Recognition Systems (4 papers) and Software Engineering Techniques and Practices (4 papers). The work is most often cited by research in Computer Science Applications (492 citations), Software (254 citations), Media Technology (173 citations), Information Systems (260 citations) and Computer Vision and Pattern Recognition (230 citations). Colin Higgins has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Dave Elliman, Athanasios Tsintsifas, Marzieh Ahmadzadeh, Somaya Al-Máadeed, D.G. Elliman, Brett Bligh, Tarek Hegazy, Jonathan A. Doorn, David L. Roman and Peter Brusilovsky. Their work appears in journals such as Business & Society, Molecular Pharmacology, Machine Vision and Applications, International Journal on Document Analysis and Recognition (IJDAR) and ACM SIGPLAN Notices.

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.

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