Samet Memiş

687 citations
34 papers · 483 · h-index 12

Impact in

Papers in

Samet Memiş

31 papers receiving 460 citations

Peers

Samet Memiş
Comparison fields: 5 of 74
  • Management Science and Operations Research 202
  • Computer Vision and Pattern Recognition 157
  • Computational Theory and Mathematics 112
  • Media Technology 39
  • Artificial Intelligence 115
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Citations per year

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 15 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201952
2 202345
3 202445
4 202240
5 202138
6 202130
7 202221
8
A New Approach to Group Decision-Making Method Based on TOPSIS Under Fuzzy Soft Environment
201919
9 201818
10 202017
11 201914
12 202313
13 202312
14 201912
15 202212
16 202211
17
Operability-Oriented Configurations of the Soft Decision-Making Methods Proposed between 2013 and 2016 and Their Comparisons
202110
18 20239
19
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
20 20218

About Samet Memiş

Samet Memiş is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 34 papers that have together received 483 indexed citations. Recurring topics across this work include Fuzzy and Soft Set Theory (17 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 (5 papers), Blind Source Separation Techniques (3 papers), Advanced Image Fusion 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 (202 citations), Computer Vision and Pattern Recognition (157 citations), Computational Theory and Mathematics (112 citations), Media Technology (39 citations) and Artificial Intelligence (115 citations). Samet Memiş has collaborated with scholars based in Türkiye, China and United States. Frequent co-authors include Serdar Enginoğlu, Uğur Erkan, Abdurrahim Toktaş, Qiang Lai, Khalid Naeem, Feyza Toktas, Faruk Karaaslan, Suo Gao, Heping Wen and Naim Çağman. Their work appears in journals such as Soft Computing, Nonlinear Dynamics, Granular Computing, PeerJ Computer Science and Electronics.

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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