Aybars Uğur

45 papers receiving 632 citations

Peers

Aybars Uğur
Comparison fields: 5 of 123
  • Industrial and Manufacturing Engineering 83
  • Artificial Intelligence 245
  • Computer Vision and Pattern Recognition 123
  • Computer Networks and Communications 103
  • Radiology, Nuclear Medicine and Imaging 85
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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 22 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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020102
2 202181
3 200862
4 200861
5 201543
6 201132
7 201231
8 200430
9 200925
10 200825
11 202021
12 201118
13 200913
14 200713
15
Maximizing Coverage in a Connected and K-Covered Wireless Sensor Network Using Genetic Algorithms
200812
16 200912
17 201911
18 201811
19 20048
20 20176

About Aybars Uğur

Aybars Uğur is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Computer Networks and Communications and Plant Science, having authored 49 papers that have together received 678 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), Anomaly Detection Techniques and Applications (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Smart Agriculture and AI (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (83 citations), Artificial Intelligence (245 citations), Computer Vision and Pattern Recognition (123 citations), Computer Networks and Communications (103 citations) and Radiology, Nuclear Medicine and Imaging (85 citations). Aybars Uğur has collaborated with scholars based in Türkiye, United States and Italy. Frequent co-authors include Erdal Taşçı, Kasım Sinan Yıldırım, Muhammed Cinsdikici, Serdar Korukoğlu, Mustafa Bolca, Yusuf Kurucu, Banu Özden, G. Yener, Özlem Gürünlü Alma and Müslim Murat Saç. Their work appears in journals such as Journal of Radioanalytical and Nuclear Chemistry, Journal of Statistical Computation and Simulation, Multimedia Tools and Applications, Expert Systems with Applications and Information Sciences.

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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