Serdar Uckun

37 papers receiving 410 citations

Peers

Serdar Uckun
Comparison fields: 5 of 66
  • Medical Laboratory Technology 20
  • Software 36
  • Control and Systems Engineering 144
  • Artificial Intelligence 177
  • Statistics, Probability and Uncertainty 36
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Citations per year

Countries citing papers authored by Serdar Uckun

Since Specialization
Citations

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

Fields of papers citing papers by Serdar Uckun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200893
2 201069
3 199366
4 199428
5 199325
6 199323
7
Model-based reasoning in biomedicine.
199218
8 201811
9 199610
10 199210
11 20148
12
Guardian: an experimental system for intelligent ICU monitoring.
19948
13 20087
14
META II: Formal Co-Verification of Correctness of Large-Scale Cyber-Physical Systems during Design. Volume 1
20117
15 20186
16 19935
17
Qualitative vector algebra
19934
18 19994
19 20084
20 20113

About Serdar Uckun

Serdar Uckun is a scholar working on Artificial Intelligence, Control and Systems Engineering, Surgery, Aerospace Engineering and Software, having authored 37 papers that have together received 440 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (20 papers), Healthcare Technology and Patient Monitoring (7 papers), Semantic Web and Ontologies (5 papers), Systems Engineering Methodologies and Applications (4 papers), Bayesian Modeling and Causal Inference (4 papers), Fault Detection and Control Systems (4 papers), Rocket and propulsion systems research (4 papers) and Model-Driven Software Engineering Techniques (3 papers). The work is most often cited by research in Medical Laboratory Technology (20 citations), Software (36 citations), Control and Systems Engineering (144 citations), Artificial Intelligence (177 citations) and Statistics, Probability and Uncertainty (36 citations). Serdar Uckun has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Kai Goebel, Peter Lucas, Benoît M. Dawant, K. Kawamura, Sugato Bagchi, Ole J. Mengshoel, Daniel P. Lindstrom, Mark Chavira, Scott Poll and Adnan Darwiche. Their work appears in journals such as Artificial Intelligence in Medicine, SAE technical papers on CD-ROM/SAE technical paper series, Methods of Information in Medicine, Artificial intelligence for engineering design analysis and manufacturing and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

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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