Samet Memiş

31 papers receiving 405 citations

Peers

Samet Memiş
Comparison fields: 5 of 70
  • Management Science and Operations Research 197
  • Computational Theory and Mathematics 110
  • Computer Vision and Pattern Recognition 136
  • Media Technology 36
  • Artificial Intelligence 110
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Christian Döring Germany
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Countries citing papers authored by Samet Memiş

Since Specialization
Citations

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

Fields of papers citing papers by Samet Memiş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201945
2 202338
3 202137
4 202233
5 202432
6 202128
7 202221
8
A New Approach to Group Decision-Making Method Based on TOPSIS Under Fuzzy Soft Environment
201918
9 201817
10 202016
11 201914
12 202212
13 202211
14
Operability-Oriented Configurations of the Soft Decision-Making Methods Proposed between 2013 and 2016 and Their Comparisons
202110
15 201910
16 20239
17 20239
18
A New Approach to the Criteria-Weighted Fuzzy Soft Max-Min Decision-Making Method and Its Application to a Performance-Based Value Assignment Problem
20208
19 20238
20 20218

About Samet Memiş

Samet Memiş is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 32 papers that have together received 429 indexed citations. Recurring topics across this work include Fuzzy and Soft Set Theory (18 papers), Multi-Criteria Decision Making (14 papers), Fuzzy Logic and Control Systems (6 papers), Advanced Algebra and Logic (5 papers), Image and Signal Denoising Methods (4 papers), Advanced Image Fusion Techniques (3 papers), Blind Source Separation Techniques (3 papers) and Chaos-based Image/Signal Encryption (2 papers). The work is most often cited by research in Management Science and Operations Research (197 citations), Computational Theory and Mathematics (110 citations), Computer Vision and Pattern Recognition (136 citations), Media Technology (36 citations) and Artificial Intelligence (110 citations). Samet Memiş has collaborated with scholars based in Türkiye, United States and China. Frequent co-authors include Serdar Enginoğlu, Uğur Erkan, Qiang Lai, Abdurrahim Toktaş, Faruk Karaaslan, Khalid Naeem, Suo Gao, Heping Wen, Dang N. H. Thanh and Naim Çağman. Their work appears in journals such as Electronics, PeerJ Computer Science, IEEE Access, Soft Computing and Expert Systems with Applications.

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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