Saeed Kosari

930 citations
78 papers · 542 · 1 hit paper · h-index 11

Impact in

Papers in

Saeed Kosari

66 papers receiving 527 citations

Saeed Kosari's Hit Papers

Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey 2023 · 104 citations
1040+1+2Years since publication255075100

Peers

Saeed Kosari
Comparison fields: 5 of 94
  • Management Science and Operations Research 224
  • Computational Theory and Mathematics 168
  • Geometry and Topology 61
  • Signal Processing 56
  • Artificial Intelligence 140
Replace Duoqian Miao with:
Duoqian Miao China
Csaba D. Tóth United States
Sukhamay Kundu United States
Jacob van der Woude Netherlands
G. Langholz Israel
Grzegorz Świrszcz United States
S. Somasundaram India
Matthias Köppe United States
Zhiyong Hong China
Xiaodong Fan China
Saeed Kosari relative to Duoqian Miao China Duoqian Miao's profile →
Citations per field
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Duoqian Miao · 1×
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 78 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 →
2023104
2 202055
3 202026
4 202025
5 202121
6 202020
7 202215
8 202114
9 202013
10 201612
11 202111
12
Notion of Complex Pythagorean Fuzzy Graph with Properties and Application.
202010
13 202110
14 202210
15 20219
16 20238
17 20248
18 20228
19 20227
20 20217

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 78 papers that have together received 542 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 (10 papers), Fuzzy and Soft Set Theory (10 papers), Graph theory and applications (8 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Management Science and Operations Research (224 citations), Computational Theory and Mathematics (168 citations), Geometry and Topology (61 citations), Signal Processing (56 citations) and Artificial Intelligence (140 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, Xinyue Liu, Zheng Kou, Yang Liu, Seyed Mahmoud Sheikholeslami and Pijush Kanti Dutta Pramanik. 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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