Errol Colak

50 papers receiving 895 citations

Hit Papers

Do as AI say: susceptibility in deployment of clinical decision-aids 2021 · 243 citations
243202120262022202450100150200

Peers

Errol Colak
Comparison fields: 5 of 127
  • Health Informatics 210
  • Family Practice 46
  • Radiology, Nuclear Medicine and Imaging 344
  • Artificial Intelligence 221
  • Health Information Management 25
Replace Wieland Staab with:
Wieland Staab Germany
Luke Gompels United Kingdom
Valentina Bellini Italy
Jonathan Montomoli Italy
Matthew B. Morgan United States
Kerstin Noëlle Vokinger Switzerland
Seth J. Berkowitz United States
Loïc Duron France
Curtis E. Doberstein United States
Andrea Borondy Kitts United States
Errol Colak relative to Wieland Staab Germany Wieland Staab's profile →
Citations per field
00.5×
Wieland Staab · 1×
Citations per year

Countries citing papers authored by Errol Colak

Since Specialization
Citations

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

Fields of papers citing papers by Errol Colak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20246
3 20246
4 20240
5 20241
6 20234
7 20231
8 20238
9 202310
10 202343
11 201883
12 20183
13 20186
14
A Convolutional Neural Network for Search Term Detection-A Draft.
20171
15 20169
16 201618
17 201434
18 20115
19 20113
20
The utility of computer-aided-detection for the assessment of pulmonary arterial filling defects at CT angiography
20071

About Errol Colak

Errol Colak is a scholar working on Health Informatics, Internal Medicine, Radiology, Nuclear Medicine and Imaging, Family Practice and Emergency Medicine, having authored 57 papers that have together received 921 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Abdominal Trauma and Injuries (7 papers), Advanced X-ray and CT Imaging (6 papers), Radiology practices and education (6 papers), Trauma and Emergency Care Studies (6 papers), COVID-19 diagnosis using AI (5 papers) and Gastrointestinal disorders and treatments (4 papers). The work is most often cited by research in Health Informatics (210 citations), Family Practice (46 citations), Radiology, Nuclear Medicine and Imaging (344 citations), Artificial Intelligence (221 citations) and Health Information Management (25 citations). Errol Colak has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Joseph Barfett, Marzyeh Ghassemi, Eva Lermer, Martina Raue, Susanne Gaube, Harini Suresh, Joseph F. Coughlin, Kuhan Perampaladas, Bruce Gray and Mark Cicero. Their work appears in journals such as Radiology Artificial Intelligence, Canadian Journal of Gastroenterology and Hepatology, Journal of Obstetrics and Gynaecology Canada, npj Digital Medicine and American Journal of Roentgenology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026