Michael Eppler

18 papers receiving 353 citations

Peers

Michael Eppler
Comparison fields: 5 of 67
  • Health Informatics 200
  • Family Practice 4
  • Radiology, Nuclear Medicine and Imaging 32
  • Artificial Intelligence 51
  • Health 10
Replace Bryan Lim with:
Bryan Lim Australia
Oliver Maaßen Germany
Sebastian Fritsch Germany
Saskia Deffge Germany
Sara Watson United States
Rohun Gupta United States
Nithya Rajeev United States
Nathan Jenko United Kingdom
Joseph Weisberger United States
John Chao United States
Michael Eppler relative to Bryan Lim Australia Bryan Lim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Eppler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Eppler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202487
2 202374
3 202345
4 202445
5 202427
6 202321
7 202315
8 202313
9 20238
10 20236
11 20235
12 20095
13 20213
14 20222
15 20252
16 20231
17 20231
18 20231
19 20260
20 20240

About Michael Eppler

Michael Eppler is a scholar working on Health Informatics, Surgery, Cardiology and Cardiovascular Medicine, General Health Professions and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 361 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (7 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Patient Safety and Medication Errors (2 papers), Bladder and Urothelial Cancer Treatments (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Surgical Simulation and Training (1 paper), Shoulder and Clavicle Injuries (1 paper) and Urological Disorders and Treatments (1 paper). The work is most often cited by research in Health Informatics (200 citations), Family Practice (4 citations), Radiology, Nuclear Medicine and Imaging (32 citations), Artificial Intelligence (51 citations) and Health (10 citations). Michael Eppler has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Giovanni Cacciamani, Inderbir S. Gill, Conner Ganjavi, Andre Luis Abreu, Lorenzo Storino Ramacciotti, Gary S. Collins, Mary K. Samplaski, Jeffrey Loh-Doyle, Ryan J. Davis and Mihir Desai. Their work appears in journals such as Current Opinion in Urology, Prostate Cancer and Prostatic Diseases, Arthroscopy The Journal of Arthroscopic and Related Surgery, World Journal of Surgery and BMJ Open.

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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