Sedat Dogru

613 total citations
32 papers, 430 citations indexed

About

Sedat Dogru is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Sedat Dogru has authored 32 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Biomedical Engineering and 14 papers in Aerospace Engineering. Recurrent topics in Sedat Dogru's work include Robotic Path Planning Algorithms (14 papers), Robotics and Sensor-Based Localization (13 papers) and Robotic Locomotion and Control (11 papers). Sedat Dogru is often cited by papers focused on Robotic Path Planning Algorithms (14 papers), Robotics and Sensor-Based Localization (13 papers) and Robotic Locomotion and Control (11 papers). Sedat Dogru collaborates with scholars based in Portugal, Colombia and Türkiye. Sedat Dogru's co-authors include Lino Marques, Çağlar Aytekin, İlkay Ulusoy, Raj Madhavan, Prithviraj Dasgupta, Edson Prestes, Aydan M. Erkmen, Marcello Chiaberge and İsmet Erkmen and has published in prestigious journals such as IEEE Transactions on Robotics, IEEE Sensors Journal and IEEE Transactions on Systems Man and Cybernetics Systems.

In The Last Decade

Sedat Dogru

28 papers receiving 406 citations

Peers

Sedat Dogru
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
Guangxin Li China
Péter Odry Hungary
Zhong Yang China
Changyun Wei China
Mohammad Shekaramiz United States
Zhiqiang Hao China
Jiyou Fei China
Guangxin Li China View profile →
Citations per field, relative to Sedat Dogru
Sedat Dogru · 1×
Citations per year, relative to Sedat Dogru
Sedat Dogru · 1×

Countries citing papers authored by Sedat Dogru

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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