Bayram Akdemïr

870 citations
43 papers · 621 indexed · h-index 14

Bayram Akdemïr

40 papers receiving 589 citations

Peers

Bayram Akdemïr
Comparison fields: 5 of 128
  • Computer Vision and Pattern Recognition 213
  • Neurology 56
  • Artificial Intelligence 202
  • Radiology, Nuclear Medicine and Imaging 131
  • Health Information Management 22
Replace Raul Victor M. da Nóbrega with:
Raul Victor M. da Nóbrega Brazil
Jwan Najeeb Saeed Iraq
Suneet Gupta India
Erkan Tanyıldızı Türkiye
P. Manimegalai India
Chiagoziem C. Ukwuoma China
Iza Sazanita Isa Malaysia
Khalid Amin Egypt
Kamred Udham Singh India
Chirag Patel India
Bayram Akdemïr relative to Raul Victor M. da Nóbrega Brazil Raul Victor M. da Nóbrega's profile →
Citations per field
00.5×1.7×
Raul Victor M. da Nóbrega · 1×
Citations per year

Countries citing papers authored by Bayram Akdemïr

Since Specialization
Citations

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

Fields of papers citing papers by Bayram Akdemïr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Bayram Akdemïr, 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 Bayram Akdemïr Line = papers co-authored together Bayram Akdemïr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20231
4 20221
5 201931
6 201942
7 20181
8 201829
9 20182
10 201820
11 201613
12 20161
13 201549
14 20112
15 20106
16 20094
17 20096
18 200819
19 20088
20 200748

About Bayram Akdemïr

Bayram Akdemïr is a scholar working on Computer Vision and Pattern Recognition, General Dentistry and Biophysics, having authored 43 papers that have together received 621 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Digital Imaging for Blood Diseases (5 papers), Face and Expression Recognition (4 papers), Advanced Algorithms and Applications (4 papers), Image Processing Techniques and Applications (4 papers), Cell Image Analysis Techniques (3 papers), Brain Tumor Detection and Classification (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (213 citations), Neurology (56 citations) and Artificial Intelligence (202 citations). Bayram Akdemïr has collaborated with scholars based in Türkiye, China and United States. Frequent co-authors include Şaban Öztürk, Salih Güneş, Nurettin Çetinkaya, Kemal Polat, Alaa Eleyan, Umut Özkaya, Sadık Kara, Levent Seyfi, Bülent Oran and Ahmet Afşin Kulaksız. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and The International Journal of Advanced Manufacturing Technology.

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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