Onay Urfalıoǧlu

426 citations
20 papers · 284 · h-index 7

Impact in

Papers in

Onay Urfalıoǧlu

16 papers receiving 272 citations

Peers

Onay Urfalıoǧlu
Comparison fields: 5 of 57
  • Automotive Engineering 98
  • Computer Vision and Pattern Recognition 148
  • Artificial Intelligence 77
  • Safety, Risk, Reliability and Quality 20
  • Media Technology 19
Replace Qi-Zhi Cai with:
Qi-Zhi Cai United States
Bernhard Jaeger Germany
Antonio Prioletti Italy
Anselm Haselhoff Germany
Phillip Karle Germany
Hendrik Deusch Germany
Yingjuan Tang China
Stefan Wender Germany
Vitaly Ablavsky United States
Xuanyao Chen China
Onay Urfalıoǧlu relative to Qi-Zhi Cai United States Qi-Zhi Cai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Onay Urfalıoǧlu

Since Specialization
Citations

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

Fields of papers citing papers by Onay Urfalıoǧlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Onay Urfalıoǧlu, 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 Onay Urfalıoǧlu Line = papers co-authored together Onay Urfalıoǧlu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2020200
2 201615
3
Flame detection system based on wavelet analysis of PIR sensor signals with an HMM decision mechanism
200811
4 200610
5 20119
6 20069
7 20088
8
PIR sensörleriyle alev tespiti
20084
9 20074
10 20153
11 20063
12 20082
13 20222
14 20111
15 20151
16 20201
17 20151
18 20250
19 20210
20 20080

About Onay Urfalıoǧlu

Onay Urfalıoǧlu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Aerospace Engineering and Safety, Risk, Reliability and Quality, having authored 20 papers that have together received 284 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Robotics and Sensor-Based Localization (4 papers), Advanced Image Processing Techniques (4 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Fire Detection and Safety Systems (2 papers), Image and Signal Denoising Methods (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Automotive Engineering (98 citations), Computer Vision and Pattern Recognition (148 citations), Artificial Intelligence (77 citations), Safety, Risk, Reliability and Quality (20 citations) and Media Technology (19 citations). Onay Urfalıoǧlu has collaborated with scholars based in Germany, Türkiye and United States. Frequent co-authors include Antonio M. López, Felipe Codevilla, Behçet Uğur Töreyın, Ahmet Enis Çetin, Orhan Arıkan, Jöern Ostermann, Hellward Broszio, Erçan E. Kuruoğlu, Thorsten Thormählen and A. Enis Çetin. Their work appears in journals such as IEEE Intelligent Transportation Systems Magazine, Computer Vision and Image Understanding, Journal of Global Optimization, IEEE Transactions on Intelligent Transportation Systems and Lecture notes in computer science.

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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