Joseph Coco

26 papers receiving 401 citations

Peers

Joseph Coco
Comparison fields: 5 of 60
  • Health Informatics 42
  • Oncology 138
  • Health Information Management 24
  • Pharmacology 24
  • Cancer Research 28
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Michael Li United States
John Isherwood United Kingdom
Frank P. Y. Lin Australia
Adem Albayrak United States
Rowland W. Pettit United States
Kyle Tegtmeyer United States
Francesco Messina Italy
Lushun Jiang China
Xiaoyun Zhu China
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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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013138
2 202136
3 201933
4 201227
5 202125
6 202322
7
A Crowdsourcing Framework for Medical Data Sets.
201818
8 202414
9 201812
10 202212
11 202010
12 20219
13 20198
14 20197
15
Feasibility Assessment of a Pre-Hospital Automated Sensing Clinical Documentation System.
20197
16 20207
17 20195
18 20215
19
PARSES: A Pipeline for Analysis of RNA-Seq Exogenous Sequences.
20114
20 20193

About Joseph Coco

Joseph Coco is a scholar working on Health Informatics, Health Information Management, Oncology, Computer Science Applications and Safety Research, having authored 26 papers that have together received 413 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (6 papers), Electronic Health Records Systems (6 papers), Ethics and Social Impacts of AI (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Lung Cancer Treatments and Mutations (2 papers), Innovations in Medical Education (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Health Informatics (42 citations), Oncology (138 citations), Health Information Management (24 citations), Pharmacology (24 citations) and Cancer Research (28 citations). Joseph Coco has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Christopher Taylor, Erik K. Flemington, Daniel Fabbri, Zhen Nan Lin, Michael J. Strong, Melody Baddoo, Teresa A. Lehman, MaryBeth Ferris, Dass S. Vinay and Monica Concha. Their work appears in journals such as Journal of the American Heart Association, Journal of Medical Internet Research, Applied Clinical Informatics, Patient Education and Counseling and Journal of Biomedical Informatics.

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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