Suhap Şahın

477 citations
40 papers · 195 · h-index 7

Impact in

Papers in

Suhap Şahın

36 papers receiving 182 citations

Peers

Suhap Şahın
Comparison fields: 5 of 94
  • Signal Processing 23
  • Artificial Intelligence 61
  • Computer Vision and Pattern Recognition 35
  • Industrial and Manufacturing Engineering 12
  • Hardware and Architecture 8
Replace Anastasios N. Angelopoulos with:
Anastasios N. Angelopoulos United States
Jiří Dvorský Czechia
Henri Luchian Romania
M. V. Subramanyam India
Nilaksh Das United States
Binbin Liu China
Hassan Youness Egypt
Shuang Yang China
Noel Lopes Portugal
Simone Bassis Italy
Suhap Şahın relative to Anastasios N. Angelopoulos United States Anastasios N. Angelopoulos's profile →
Citations per field
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Anastasios N. Angelopoulos · 1×
Citations per year

Countries citing papers authored by Suhap Şahın

Since Specialization
Citations

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

Fields of papers citing papers by Suhap Şahın

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Suhap Şahın, 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 Suhap Şahın Line = papers co-authored together Suhap Şahın links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparison of Hierarchical and Non-Hierarchical Clustering Algorithms
201733
2 202126
3 201025
4 201510
5 20189
6 20098
7 20246
8 20176
9 20186
10 20135
11 20135
12
Parçacık Sürü Optimizasyonu Algoritması ile Yapay Sinir Ağı Eğitiminin FPGA Üzerinde Donanımsal Gerçeklenmesi
20104
13 20224
14 20154
15 20204
16 20063
17
Neural network implementation in hardware using FPGAs
20063
18 20083
19 20073
20 20213

About Suhap Şahın

Suhap Şahın is a scholar working on Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 40 papers that have together received 195 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (5 papers), Digital Filter Design and Implementation (5 papers), Neural Networks and Applications (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Image Processing Techniques and Applications (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Direction-of-Arrival Estimation Techniques (3 papers) and Advanced Wireless Communication Techniques (3 papers). The work is most often cited by research in Signal Processing (23 citations), Artificial Intelligence (61 citations), Computer Vision and Pattern Recognition (35 citations), Industrial and Manufacturing Engineering (12 citations) and Hardware and Architecture (8 citations). Suhap Şahın has collaborated with scholars based in Türkiye. Frequent co-authors include Cihan Karakuzu, Kerem Küçük, Adnan Kavak, Yaşar Becerikli, Sener Dikmese, Süleyman Eken, Ahmet Sayar, Oktay Duman, Güralp Özkoç and Mehmet Onur Arıcan. Their work appears in journals such as Tehnicki vjesnik - Technical Gazette, Engineering Science and Technology an International Journal, Applied Acoustics, Neural Computing and Applications and IEEE Access.

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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