Saeed Kosari

1.0k citations
85 papers · 609 · 1 hit paper · h-index 12

Impact in

Papers in

Saeed Kosari

71 papers receiving 594 citations

Saeed Kosari's Hit Papers

Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey 2023 · 117 citations
1170+1+2Years since publication255075100

Peers

Saeed Kosari
Comparison fields: 5 of 99
  • Management Science and Operations Research 232
  • Computational Theory and Mathematics 174
  • Geometry and Topology 62
  • Modeling and Simulation 26
  • Signal Processing 59
Replace Joe Suzuki with:
Joe Suzuki Japan
Zhiyong Hong China
Mirjana Čangalović Serbia
Vera Kovačevíc-Vujčić Serbia
Michael M. Hoffmann Switzerland
Michio Sugeno Japan
Man Li China
E. Aiyoshi Japan
John T. Rickard United States
Aryeh Kontorovich Israel
Saeed Kosari relative to Joe Suzuki Japan Joe Suzuki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Saeed Kosari

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Kosari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Saeed Kosari, 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 Saeed Kosari Line = papers co-authored together Saeed Kosari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey
Hit paper breakdown →
2023117
2 202058
3 202026
4 202025
5 202121
6 202020
7 201317
8 202216
9 202114
10 202013
11 201612
12 202111
13 202111
14
Notion of Complex Pythagorean Fuzzy Graph with Properties and Application.
202010
15 202210
16 202410
17 202210
18 20219
19 20258
20 20238

About Saeed Kosari

Saeed Kosari is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Artificial Intelligence, Modeling and Simulation and Geometry and Topology, having authored 85 papers that have together received 609 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (22 papers), Multi-Criteria Decision Making (19 papers), Complexity and Algorithms in Graphs (15 papers), Graph Labeling and Dimension Problems (12 papers), Fractional Differential Equations Solutions (12 papers), Fuzzy and Soft Set Theory (10 papers), Intuitionistic Fuzzy Systems Applications (8 papers) and Graph theory and applications (8 papers). The work is most often cited by research in Management Science and Operations Research (232 citations), Computational Theory and Mathematics (174 citations), Geometry and Topology (62 citations), Modeling and Simulation (26 citations) and Signal Processing (59 citations). Saeed Kosari has collaborated with scholars based in China, Iran and Algeria. Frequent co-authors include Zehui Shao, Hossein Rashmanlou, Yongsheng Rao, Xiaolong Shi, Mehdi Gheisari, Yang Liu, Zheng Kou, Mohamadtaghi Rahimi, Mustafa Ghaderzadeh and Seyed Mahmoud Sheikholeslami. Their work appears in journals such as Symmetry, Journal of Intelligent & Fuzzy Systems, Numerical Algorithms, International Journal of Computational Intelligence Systems and PLoS ONE.

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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