Murat Bakırcı

904 total citations
48 papers, 304 citations indexed

About

Murat Bakırcı is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering. According to data from OpenAlex, Murat Bakırcı has authored 48 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 17 papers in Aerospace Engineering and 10 papers in Automotive Engineering. Recurrent topics in Murat Bakırcı's work include Advanced Neural Network Applications (11 papers), UAV Applications and Optimization (8 papers) and Traffic Prediction and Management Techniques (7 papers). Murat Bakırcı is often cited by papers focused on Advanced Neural Network Applications (11 papers), UAV Applications and Optimization (8 papers) and Traffic Prediction and Management Techniques (7 papers). Murat Bakırcı collaborates with scholars based in Türkiye, Ukraine and United States. Murat Bakırcı's co-authors include Mecit Cetin and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Applied Soft Computing.

In The Last Decade

Murat Bakırcı

41 papers receiving 282 citations

Peers

Murat Bakırcı
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 102
  • Aerospace Engineering 68
  • Environmental Engineering 53
  • Automotive Engineering 39
  • Industrial and Manufacturing Engineering 33
Replace Jiarui Cai with:
Jiarui Cai United States
Javier Fernández Andrés Spain
Binsu C. Kovoor India
Yifei Tian China
Jinjin Yan China
Haiwen Yuan China
Jianan Liu China
Mitko Aleksandrov Australia
Ye Yu China
Jiarui Cai United States View profile →
Citations per field, relative to Murat Bakırcı
Murat Bakırcı · 1×
Citations per year, relative to Murat Bakırcı
Murat Bakırcı · 1×

Countries citing papers authored by Murat Bakırcı

Since Specialization
Citations

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

Fields of papers citing papers by Murat Bakırcı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murat Bakırcı

This figure shows the co-authorship network connecting the top 25 collaborators of Murat Bakırcı. A scholar is included among the top collaborators of Murat Bakırcı 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 Murat Bakırcı. Murat Bakırcı 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 6
2 0
3 3
4 34
5 12
6 0
7 8
8 43
9 8
10 12
11 10
12 5
13 1
14 5
15 2
16 5
17 14
18 3
19 16
20 2

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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