Ali Cinar

8.7k citations
298 papers · 7.1k · h-index 44

Impact in

Papers in

Ali Cinar

282 papers receiving 6.9k citations

Peers

Ali Cinar
Comparison fields: 5 of 114
  • Endocrinology, Diabetes and Metabolism 2.1k
  • Control and Systems Engineering 2.4k
  • Biomedical Engineering 338
  • Molecular Medicine 43
  • Health Information Management 37
Replace B. Wayne Bequette with:
B. Wayne Bequette United States
Xiaochen Xie China
Sung‐Ho Kim South Korea
Youqing Wang China
Dale E. Seborg United States
Andrea Facchinetti Italy
Zhenhua Zhu China
Massimiliano Barolo Italy
Josep Vehı́ Spain
Dominique Bonvin Switzerland
Ali Cinar relative to B. Wayne Bequette United States B. Wayne Bequette's profile →
Citations per field
00.5×2×4×6×8.6×
B. Wayne Bequette · 1×
Citations per year

Countries citing papers authored by Ali Cinar

Since Specialization
Citations

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

Fields of papers citing papers by Ali Cinar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 298 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002541
2 1996275
3 2014270
4 2012244
5 2002218
6 2016192
7 2003143
8 2014143
9 2013139
10 2009129
11 2013122
12 2011115
13 2015114
14 200998
15 199792
16 201391
17 200386
18 201586
19 201879
20 201578

About Ali Cinar

Ali Cinar is a scholar working on Endocrinology, Diabetes and Metabolism, Control and Systems Engineering, Automotive Engineering, Ecological Modeling and Experimental and Cognitive Psychology, having authored 298 papers that have together received 7.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (88 papers), Fault Detection and Control Systems (51 papers), Advanced Control Systems Optimization (18 papers), Control Systems and Identification (12 papers), Vehicle Dynamics and Control Systems (5 papers), Context-Aware Activity Recognition Systems (4 papers), Heat and Mass Transfer in Porous Media (4 papers) and Chemotherapy-induced organ toxicity mitigation (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Control and Systems Engineering (2.4k citations), Biomedical Engineering (338 citations), Molecular Medicine (43 citations) and Health Information Management (37 citations). Ali Cinar has collaborated with scholars based in United States, Türkiye and China. Frequent co-authors include Cenk Ündey, Kamuran Turksoy, Anne Raich, Gülnur Bírol, Elizabeth Littlejohn, Lauretta T. Quinn, Mudassir Mohammad Rashid, Iman Hajizadeh, John F. MacGregor and Laurie Quinn. Their work appears in journals such as Industrial & Engineering Chemistry Research, Journal of Diabetes Science and Technology, Journal of Process Control, Computers & Chemical Engineering and Diabetes Technology & Therapeutics.

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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