Aybars Uğur

896 citations
49 papers · 666 indexed · h-index 14
Topics
Metaheuristic Optimization Algorithms Research (9 papers)Vehicle Routing Optimization Methods (6 papers)Energy Efficient Wireless Sensor Networks (5 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsSensors

In The Last Decade

Aybars Uğur

44 papers receiving 614 citations

Peers

Aybars Uğur
Comparison fields: 5 of 123
  • Artificial Intelligence 247
  • Computer Vision and Pattern Recognition 120
  • Computer Networks and Communications 102
  • Radiology, Nuclear Medicine and Imaging 93
  • Industrial and Manufacturing Engineering 81
Replace Peter Malík with:
Peter Malík Slovakia
Sujuan Hou China
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Citations per field
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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-authorship network of co-authors of Aybars Uğur

This figure shows the co-authorship network connecting the top 25 collaborators of Aybars Uğur. A scholar is included among the top collaborators of Aybars Uğur based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aybars Uğur. Aybars Uğur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 1
6 5
7
Synthetic Skin Cancer Image Data Generation Using Generative Adversarial Neural Network
3
8 77
9 0
10 11
11 11
12 2
13 6
14 43
15
Genetic Algorithm Based Outlier Detection Using Bayesian Information Criterion in Multiple Regression Models Having Multicollinearity Problems
3
16
Basketbolda oyuncu seçimi için sinirsel-bulanik karar destek sistemi
1
17 13
18
Maximizing Coverage in a Connected and K-Covered Wireless Sensor Network Using Genetic Algorithms
12
19
KUTUP DENGELEME PROBLEMi iÇiN YÜKSEK BASARIMLI BiR OPTiMiZASYON TEKNiGi
1
20 1

About Aybars Uğur

Aybars Uğur is a scholar working on Health Informatics, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 49 papers that have together received 666 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Vehicle Routing Optimization Methods (6 papers) and Energy Efficient Wireless Sensor Networks (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (81 citations), Artificial Intelligence (247 citations) and Computer Vision and Pattern Recognition (120 citations). Aybars Uğur has collaborated with scholars based in Türkiye, United States and Italy. Frequent co-authors include Erdal Taşçı, Aydın Doğan, Kasım Sinan Yıldırım, Muhammed Cinsdikici, Serdar Korukoğlu, Yusuf Kurucu, Mustafa Bolca, Özlem Gürünlü Alma, Banu Özden and Müslim Murat Saç. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

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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