Aybars Uğur

46 papers receiving 703 citations

Peers

Aybars Uğur
Comparison fields: 5 of 126
  • Industrial and Manufacturing Engineering 93
  • Artificial Intelligence 274
  • Computer Vision and Pattern Recognition 143
  • Computer Networks and Communications 112
  • Radiology, Nuclear Medicine and Imaging 88
Replace Peter Malík with:
Peter Malík Slovakia
Phil Kim South Korea
Sujuan Hou China
Xuming Han China
Martin Bobák Slovakia
Suhel Hammoud United Kingdom
Ignacio Heredia Spain
Fulufhelo Vincent Nelwamondo South Africa
André Luis Debiaso Rossi Brazil
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Citations per year

Countries citing papers authored by Aybars Uğur

Since Specialization
Citations

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

Fields of papers citing papers by Aybars Uğur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Aybars Uğur, 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 Aybars Uğur Line = papers co-authored together Aybars Uğur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020105
2 202188
3 200869
4 200868
5 201545
6 201237
7 201134
8 200433
9 200929
10 200825
11 201122
12 202022
13 200917
14 201813
15
Maximizing Coverage in a Connected and K-Covered Wireless Sensor Network Using Genetic Algorithms
200813
16 200713
17 201913
18 200912
19 20048
20 20177

About Aybars Uğur

Aybars Uğur is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Media Technology and Computer Networks and Communications, having authored 52 papers that have together received 747 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Vehicle Routing Optimization Methods (6 papers), Energy Efficient Wireless Sensor Networks (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Anomaly Detection Techniques and Applications (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Smart Agriculture and AI (4 papers) and Leaf Properties and Growth Measurement (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (93 citations), Artificial Intelligence (274 citations), Computer Vision and Pattern Recognition (143 citations), Computer Networks and Communications (112 citations) and Radiology, Nuclear Medicine and Imaging (88 citations). Aybars Uğur has collaborated with scholars based in Türkiye, United States and Italy. Frequent co-authors include Erdal Taşçı, Kasım Sinan Yıldırım, Muhammed Gökhan Cinsdikici, Serdar Korukoğlu, Yusuf Kurucu, Güngör Yener, Banu Özden, Müslim Murat Saç, Mustafa Bolca and Özlem Gürünlü Alma. Their work appears in journals such as Journal of Radioanalytical and Nuclear Chemistry, Expert Systems with Applications, Soft Computing, Sensors and IEEE Transactions on Consumer Electronics.

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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