John Eberhardt

19 papers receiving 604 citations

Peers

John Eberhardt
Comparison fields: 5 of 92
  • Health Information Management 59
  • Health Informatics 13
  • Oncology 141
  • Surgery 187
  • Pulmonary and Respiratory Medicine 71
Replace Victor H. van Berkel with:
Victor H. van Berkel United States
Edward P. Ambinder United States
Dan Assaf Israel
Mathijs P. Hendriks Netherlands
Vikrant Deshmukh United States
Marco Maraldi Italy
Patrick D. Tyler United States
Aliki I. Venetsanopoulou Greece
Nam Q. Nguyen Australia
Joanna Kaźmierska Poland
John Eberhardt relative to Victor H. van Berkel United States Victor H. van Berkel's profile →
Citations per field
00.5×10×15×21.5×
Victor H. van Berkel · 1×
Citations per year

Countries citing papers authored by John Eberhardt

Since Specialization
Citations

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

Fields of papers citing papers by John Eberhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2011153
2 201075
3 201250
4 201241
5 200941
6 201234
7 201134
8 201133
9 200933
10 201023
11 200921
12 201013
13 201413
14
Development of a Bayesian classifier for breast cancer risk stratification: a feasibility study.
201013
15 201311
16 201011
17 201210
18 20119
19 20091

About John Eberhardt

John Eberhardt is a scholar working on Oncology, Surgery, Health Information Management, Epidemiology and Molecular Biology, having authored 19 papers that have together received 619 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (4 papers), Electronic Health Records Systems (3 papers), Colorectal Cancer Screening and Detection (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Malpractice and Liability Issues (2 papers), Pharmaceutical industry and healthcare (1 paper), Renal and Vascular Pathologies (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Health Information Management (59 citations), Health Informatics (13 citations), Oncology (141 citations), Surgery (187 citations) and Pulmonary and Respiratory Medicine (71 citations). John Eberhardt has collaborated with scholars based in United States, Israel and Serbia. Frequent co-authors include Alexander Stojadinovic, Anton J. Bilchik, Jonathan A. Forsberg, John H. Healey, Patrick J. Boland, Rikard Wedin, Aviram Nissan, Scott R. Steele, George E. Peoples and Kangmin Zhu. Their work appears in journals such as Journal of Cancer, Annals of Surgery, Annals of Surgical Oncology, The American Surgeon and Journal of Surgical Oncology.

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