Emily E. Jefferson

2.9k citations
53 papers · 1.9k · 2 hit papers · h-index 14

Impact in

Papers in

Emily E. Jefferson

46 papers receiving 1.9k citations

Emily E. Jefferson's Hit Papers

Using machine learning approaches for multi-omics data analysis: A review 2021 · 628 citations
6280+2+4Years since publication200400600

Peers

Emily E. Jefferson
Comparison fields: 5 of 167
  • Health Informatics 247
  • Radiology, Nuclear Medicine and Imaging 451
  • Health Information Management 68
  • Artificial Intelligence 335
  • Cancer Research 85
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Qingyu Chen United States
Tolou Shadbahr Finland
Michael Zietz United States
Hooman H. Rashidi United States
Guangjian Liu China
Benjamin J. Lengerich United States
Laura K. Wiley United States
Evan M. Cofer United States
Amr M. Alexandari United States
Shanping Jiang China
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Countries citing papers authored by Emily E. Jefferson

Since Specialization
Citations

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

Fields of papers citing papers by Emily E. Jefferson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily E. Jefferson. 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 Emily E. Jefferson. The network helps show where Emily E. Jefferson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Hit paper breakdown →
2020671
2
Using machine learning approaches for multi-omics data analysis: A review
Hit paper breakdown →
2021628
3 202087
4 202266
5 202363
6 200750
7 202239
8 202026
9 202121
10 202221
11 202320
12 202019
13 202319
14 202015
15 202114
16 201812
17 202211
18 202411
19 202311
20 20199

About Emily E. Jefferson

Emily E. Jefferson is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Health Information Management, Information Systems and Management and Artificial Intelligence, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Scientific Computing and Data Management (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Biomedical Text Mining and Ontologies (3 papers), Chronic Disease Management Strategies (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Health Informatics (247 citations), Radiology, Nuclear Medicine and Imaging (451 citations), Health Information Management (68 citations), Artificial Intelligence (335 citations) and Cancer Research (85 citations). Emily E. Jefferson has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Parminder Singh Reel, Smarti Reel, Emanuele Trucco, Ewan Pearson, Geoffrey John Barton, Timothy J. Roberts, Thomas P. Walsh, Bruce Guthrie, CHRIS DIBBEN and Stewart William Mercer. Their work appears in journals such as International Journal for Population Data Science, Journal of Medical Internet Research, GigaScience, Radiology Artificial Intelligence and The Journal of Clinical Endocrinology & Metabolism.

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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