Stephen D. Patek

99 papers receiving 2.1k citations

Peers

Stephen D. Patek
Comparison fields: 5 of 128
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Genetics 922
  • Surgery 1.2k
  • Computer Networks and Communications 235
  • Health Information Management 40
Replace Simone Del Favero with:
Simone Del Favero Italy
Iman Hajizadeh United States
John Daniels United Kingdom
Laura M. Roa Spain
Michael Schumacher Switzerland
Kristian G. Olesen Denmark
Jerry Cheng United States
Quan Bai Australia
Mehmet K. Aktaş United States
Stephen D. Patek relative to Simone Del Favero Italy Simone Del Favero's profile →
Citations per field
00.5×2.9×
Simone Del Favero · 1×
Citations per year

Countries citing papers authored by Stephen D. Patek

Since Specialization
Citations

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

Fields of papers citing papers by Stephen D. Patek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen D. Patek. 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 Stephen D. Patek. The network helps show where Stephen D. Patek may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012237
2 2008181
3 2014168
4 2010155
5 2009141
6 200686
7 200083
8 201775
9 201870
10 200962
11 201061
12 201859
13 200958
14 199944
15 200744
16 201539
17 201537
18 201635
19 202132
20 200128

About Stephen D. Patek

Stephen D. Patek is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Computer Networks and Communications and Artificial Intelligence, having authored 102 papers that have together received 2.2k indexed citations. Recurring topics across this work include Diabetes Management and Research (43 papers), Pancreatic function and diabetes (29 papers), Diabetes and associated disorders (27 papers), Network Traffic and Congestion Control (11 papers), Advanced Control Systems Optimization (7 papers), Advanced Queuing Theory Analysis (6 papers), Mobile Health and mHealth Applications (6 papers) and Software-Defined Networks and 5G (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Genetics (922 citations), Surgery (1.2k citations), Computer Networks and Communications (235 citations) and Health Information Management (40 citations). Stephen D. Patek has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Marc D. Breton, Boris Kovatchev, Lalo Magni, Claudio Cobelli, Giuseppe De Nicolao, Stacey M. Anderson, Jörg Liebeherr, Chiara Dalla Man, Dimitri P. Bertsekas and Almut Burchard. Their work appears in journals such as Journal of Diabetes Science and Technology, Diabetes Technology & Therapeutics, Computer Methods and Programs in Biomedicine, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Journal of Guidance Control and Dynamics.

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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