Onay Urfalıoǧlu

410 citations
16 papers · 248 · h-index 6

Impact in

Papers in

Onay Urfalıoǧlu

13 papers receiving 241 citations

Peers

Onay Urfalıoǧlu
Comparison fields: 5 of 55
  • Automotive Engineering 90
  • Computer Vision and Pattern Recognition 128
  • Artificial Intelligence 74
  • Safety, Risk, Reliability and Quality 17
  • Instrumentation 6
Replace Phillip Karle with:
Phillip Karle Germany
Stefan Wender Germany
Bernhard Jaeger Germany
Eric Sommerlade United Kingdom
Aidan Murphy Ireland
Anselm Haselhoff Germany
Yingjuan Tang China
Arne Suppé United States
Taylor Mordan Switzerland
Junjiao Tian United States
Onay Urfalıoǧlu relative to Phillip Karle Germany Phillip Karle's profile →
Citations per field
00.5×10×15×19×
Phillip Karle · 1×
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 12 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

16 of 16 papers shown
#Work
1 2020186
2 201615
3
Flame detection system based on wavelet analysis of PIR sensor signals with an HMM decision mechanism
200810
4 20119
5 20069
6 20087
7
PIR sensörleriyle alev tespiti
20083
8 20152
9 20222
10 20111
11 20151
12 20081
13 20151
14 20201
15 20210
16 20080

About Onay Urfalıoǧlu

Onay Urfalıoǧlu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Safety, Risk, Reliability and Quality and Computational Theory and Mathematics, having authored 16 papers that have together received 248 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Advanced Image Processing Techniques (4 papers), Video Surveillance and Tracking Methods (3 papers), Fire Detection and Safety Systems (2 papers), IoT-based Smart Home Systems (2 papers), Evolutionary Algorithms and Applications (2 papers), Robotics and Sensor-Based Localization (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Automotive Engineering (90 citations), Computer Vision and Pattern Recognition (128 citations), Artificial Intelligence (74 citations), Safety, Risk, Reliability and Quality (17 citations) and Instrumentation (6 citations). Onay Urfalıoǧlu has collaborated with scholars based in Germany, Türkiye and Spain. Frequent co-authors include Felipe Codevilla, Antonio M. López, Behçet Uğur Töreyın, Orhan Arıkan, Ahmet Enis Çetin, Jöern Ostermann, A. Enis Çetin, Henrique Siqueira, Alois Knoll and Thorsten Thormählen. Their work appears in journals such as IEEE Intelligent Transportation Systems Magazine, IEEE Transactions on Intelligent Transportation Systems, Journal of Global Optimization, Computer Vision and Image Understanding and European Signal Processing Conference.

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.

Explore authors with similar magnitude of impact