Joseph Coco

20 papers receiving 295 citations

Peers

Joseph Coco
Comparison fields: 5 of 76
  • Health Informatics 10
  • Oncology 121
  • Gastroenterology 13
  • Health Information Management 10
  • Pathology and Forensic Medicine 35
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Tracy Coelho United Kingdom
Aleksandar Vodovnik Norway
Joanna C. Walsh Canada
Stephen Ip Canada
Yoshioki Yoda Japan
Sara Koo United Kingdom
Jitesh B. Shewale United States
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Citations per field
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Citations per year

Countries citing papers authored by Joseph Coco

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Coco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013133
2 201930
3 201224
4
A Crowdsourcing Framework for Medical Data Sets.
201818
5 202412
6 201812
7 202011
8 202110
9 20197
10 20197
11 20206
12
Feasibility Assessment of a Pre-Hospital Automated Sensing Clinical Documentation System.
20196
13 20215
14 20194
15 20224
16
PARSES: A Pipeline for Analysis of RNA-Seq Exogenous Sequences.
20114
17 20203
18 20193
19 20202
20 20251

About Joseph Coco

Joseph Coco is a scholar working on Surgery, Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 302 indexed citations. Recurring topics across this work include Healthcare Technology and Patient Monitoring (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), COVID-19 diagnosis using AI (2 papers), Blood Pressure and Hypertension Studies (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Viral-associated cancers and disorders (2 papers), RNA modifications and cancer (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Health Informatics (10 citations), Oncology (121 citations), Gastroenterology (13 citations), Health Information Management (10 citations) and Pathology and Forensic Medicine (35 citations). Joseph Coco has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Daniel Fabbri, Erik K. Flemington, Christopher M. Taylor, Guorong Xu, Melody Baddoo, Michael J. Strong, Zhen Lin, Michelle Lacey, Teresa A. Lehman and Monica Concha. Their work appears in journals such as Journal of Medical Internet Research, Journal of the American Heart Association, Applied Clinical Informatics, Journal of Virology and American Journal of Critical Care.

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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