Sedat Dogru
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Civil and Structural Engineering top 10%
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Lino MarquesÇağlar Aytekinİlkay UlusoyRaj MadhavanPrithviraj DasguptaEdson PrestesAydan M. ErkmenMarcello Chiaberge
- Topics
- Robotic Path Planning Algorithms (14 papers)Robotics and Sensor-Based Localization (13 papers)Robotic Locomotion and Control (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringAerospace Engineering
In The Last Decade
Sedat Dogru
28 papers receiving 406 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 170
- Aerospace Engineering 139
- Civil and Structural Engineering 101
- Mechanical Engineering 99
- Control and Systems Engineering 79
Countries citing papers authored by Sedat Dogru
This map shows the geographic impact of Sedat Dogru'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 Sedat Dogru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sedat Dogru more than expected).
Fields of papers citing papers by Sedat Dogru
This network shows the impact of papers produced by Sedat Dogru. 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 Sedat Dogru. The network helps show where Sedat Dogru may publish in the future.
Co-authorship network of co-authors of Sedat Dogru
This figure shows the co-authorship network connecting the top 25 collaborators of Sedat Dogru. A scholar is included among the top collaborators of Sedat Dogru 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 Sedat Dogru. Sedat Dogru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 45 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 21 | |
| 10 | 48 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 29 | |
| 16 | 16 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 134 | |
| 20 | 1 |
About Sedat Dogru
Sedat Dogru is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering, having authored 32 papers that have together received 430 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (14 papers), Robotics and Sensor-Based Localization (13 papers) and Robotic Locomotion and Control (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (170 citations), Industrial and Manufacturing Engineering (71 citations) and Aerospace Engineering (139 citations). Sedat Dogru has collaborated with scholars based in Portugal, Colombia and Türkiye. Frequent co-authors include Lino Marques, Çağlar Aytekin, İlkay Ulusoy, Raj Madhavan, Prithviraj Dasgupta, Edson Prestes, Aydan M. Erkmen, Marcello Chiaberge and İsmet Erkmen. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Sensors Journal and IEEE Transactions on Systems Man and Cybernetics Systems.
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.