Colin Bellinger

1.6k citations
37 papers · 787 · h-index 13

Impact in

Papers in

Colin Bellinger

34 papers receiving 762 citations

Peers

Colin Bellinger
Comparison fields: 5 of 120
  • Artificial Intelligence 393
  • Health Information Management 51
  • Health Informatics 14
  • Health, Toxicology and Mutagenesis 94
  • Environmental Engineering 100
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Sunil Aryal Australia
Osman Nuri Uçan Türkiye
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Malik Sajjad Ahmed Nadeem Pakistan
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Countries citing papers authored by Colin Bellinger

Since Specialization
Citations

This map shows the geographic impact of Colin Bellinger'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 Bellinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin Bellinger more than expected).

Fields of papers citing papers by Colin Bellinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colin Bellinger. 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 Bellinger. The network helps show where Colin Bellinger may publish in the future.

Co-authors

The 25 scholars most cited alongside Colin Bellinger, 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 Bellinger Line = papers co-authored together Colin Bellinger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017182
2 2022125
3 201858
4 201254
5 202053
6 201941
7 201740
8 202336
9 201526
10 202120
11 201216
12 202116
13 201515
14
Sampling a Longer Life: Binary versus One-class classification Revisited
201711
15 201511
16 201911
17 201610
18 20239
19 20198
20 20236

About Colin Bellinger

Colin Bellinger is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 787 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (16 papers), Anomaly Detection Techniques and Applications (8 papers), Electricity Theft Detection Techniques (5 papers), Fault Detection and Control Systems (4 papers), Text and Document Classification Technologies (4 papers), Financial Distress and Bankruptcy Prediction (3 papers), Satellite Communication Systems (3 papers) and Optical Wireless Communication Technologies (2 papers). The work is most often cited by research in Artificial Intelligence (393 citations), Health Information Management (51 citations), Health Informatics (14 citations), Health, Toxicology and Mutagenesis (94 citations) and Environmental Engineering (100 citations). Colin Bellinger has collaborated with scholars based in Canada, United States and Hungary. Frequent co-authors include Nathalie Japkowicz, Osmar R. Zai͏̈ane, Álvaro Osornio-Vargas, Bartosz Krawczyk, Roberto Corizzo, Kushankur Ghosh, Paula Branco, Ahmad B. Hassanat, Ahmad S. Tarawneh and Dmitry Chetverikov. Their work appears in journals such as Machine Learning, Expert Systems with Applications, Journal of Computational Chemistry, Photonics and Journal of Occupational Rehabilitation.

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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