Jonathan P. Epperlein

689 citations
30 papers · 470 · h-index 7

Impact in

Papers in

    • Stability and Controllability of Differential Equations 4
    • Control Systems and Identification 3
    • Colorectal Cancer Surgical Treatments 4
    • Colorectal Cancer Screening and Detection 3

Jonathan P. Epperlein

30 papers receiving 464 citations

Peers

Jonathan P. Epperlein
Comparison fields: 5 of 80
  • Health Informatics 10
  • Computational Theory and Mathematics 69
  • Molecular Biology 235
  • Biophysics 15
  • Oncology 50
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Hua Chai China
Alexander Partin United States
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Citations per year

Countries citing papers authored by Jonathan P. Epperlein

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan P. Epperlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan P. Epperlein. 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 Jonathan P. Epperlein. The network helps show where Jonathan P. Epperlein may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009270
2 202061
3 201536
4 202314
5 201812
6 202310
7 20239
8
Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology.
20215
9 20195
10 20225
11 20224
12
Topics in Modeling and Control of Spatially Distributed Systems
20144
13 20243
14 20233
15 20243
16 20243
17 20163
18 20242
19 20252
20 20232

About Jonathan P. Epperlein

Jonathan P. Epperlein is a scholar working on Control and Systems Engineering, Oncology, Surgery, Numerical Analysis and Artificial Intelligence, having authored 30 papers that have together received 470 indexed citations. Recurring topics across this work include Numerical methods for differential equations (5 papers), Stability and Controllability of Differential Equations (4 papers), Colorectal Cancer Surgical Treatments (4 papers), Control Systems and Identification (3 papers), Colorectal Cancer Screening and Detection (3 papers), Data Stream Mining Techniques (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). The work is most often cited by research in Health Informatics (10 citations), Computational Theory and Mathematics (69 citations), Molecular Biology (235 citations), Biophysics (15 citations) and Oncology (50 citations). Jonathan P. Epperlein has collaborated with scholars based in Ireland, United States and Netherlands. Frequent co-authors include Douglas A. Lauffenburger, Steffen Klamt, Julio Sáez-Rodríguez, Leonidas G. Alexopoulos, Regina Samaga, Peter K. Sorger, Bassam Bamieh, Ronan A. Cahill, Sergiy Zhuk and Karl Johan Åström. Their work appears in journals such as Automatica, Surgical Endoscopy, Langenbeck s Archives of Surgery, Journal of Biomedical Optics and Systems & Control Letters.

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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