Peter Pesl

465 citations
13 papers · 393 · h-index 8

Impact in

Papers in

Peter Pesl

13 papers receiving 382 citations

Peers

Peter Pesl
Comparison fields: 5 of 44
  • Endocrinology, Diabetes and Metabolism 299
  • Health Information Management 48
  • Health Informatics 9
  • Genetics 104
  • Surgery 139
Replace Navid Resalat with:
Navid Resalat United States
Nichole S. Tyler United States
Arthur Bertachi Brazil
Aikaterini Prountzou Greece
Jinyu Xie United States
Virginia Gabo United States
Silvia Oviedo Spain
Eleni Litsa United States
Marzia Cescon United States
Aleix Beneyto Spain
Peter Pesl relative to Navid Resalat United States Navid Resalat's profile →
Citations per field
00.5×1.5×2×2.5×
Navid Resalat · 1×
Citations per year

Countries citing papers authored by Peter Pesl

Since Specialization
Citations

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

Fields of papers citing papers by Peter Pesl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Peter Pesl, 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 Peter Pesl Line = papers co-authored together Peter Pesl links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201480
2 201659
3 201754
4 201547
5 201540
6 201535
7 201632
8 201426
9 20146
10 20115
11 20185
12 20162
13 20142

About Peter Pesl

Peter Pesl is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 393 indexed citations. Recurring topics across this work include Diabetes Management and Research (12 papers), Pancreatic function and diabetes (5 papers), Formal Methods in Verification (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), AI-based Problem Solving and Planning (1 paper), Diabetes and associated disorders (1 paper), Context-Aware Activity Recognition Systems (1 paper) and ECG Monitoring and Analysis (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (299 citations), Health Information Management (48 citations), Health Informatics (9 citations), Genetics (104 citations) and Surgery (139 citations). Peter Pesl has collaborated with scholars based in United Kingdom and Spain. Frequent co-authors include Pantelis Georgiou, Pau Herrero, Nick Oliver, Monika Reddy, C. Toumazou, Desmond G. Johnston, Maria Xenou, Jorge Bondía, C. Toumazou and Mohamed El Sharkawy. Their work appears in journals such as Journal of Diabetes Science and Technology, IEEE Journal of Biomedical and Health Informatics, Diabetes Technology & Therapeutics and Computer Methods and Programs in Biomedicine.

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