Mohammad Mosleh

2.0k citations
106 papers · 1.4k · h-index 23

Impact in

Papers in

Mohammad Mosleh

103 papers receiving 1.4k citations

Peers

Mohammad Mosleh
Comparison fields: 5 of 76
  • Computational Theory and Mathematics 1.0k
  • Electrical and Electronic Engineering 865
  • Artificial Intelligence 407
  • Atomic and Molecular Physics, and Optics 326
  • Computer Vision and Pattern Recognition 160
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Nan Jiang China
Jozef Gruska Czechia
Biplab K. Sikdar India
Muyuan Li United States
Emina Soljanin United States
Tanja Lange Netherlands
Jia Lee China
Ajay Kumar India
Máire O׳Neill United Kingdom
Salih Ergün Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Mosleh

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Mosleh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 201858
3 201853
4 201950
5 202048
6 201946
7 202142
8 201838
9 201838
10 202336
11 202035
12 201929
13 202328
14 201928
15 201828
16 201826
17 202125
18 202125
19 201924
20 201324

About Mohammad Mosleh

Mohammad Mosleh is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Networks and Communications, having authored 106 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (62 papers), Advanced Memory and Neural Computing (32 papers), Quantum Computing Algorithms and Architecture (28 papers), Quantum and electron transport phenomena (14 papers), Quantum Information and Cryptography (12 papers), Semiconductor materials and devices (12 papers), Advanced Steganography and Watermarking Techniques (9 papers) and Advancements in Semiconductor Devices and Circuit Design (9 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Electrical and Electronic Engineering (865 citations), Artificial Intelligence (407 citations), Atomic and Molecular Physics, and Optics (326 citations) and Computer Vision and Pattern Recognition (160 citations). Mohammad Mosleh has collaborated with scholars based in Iran, Türkiye and Taiwan. Frequent co-authors include Seyed‐Sajad Ahmadpour, Saeed Rasouli Heikalabad, Nima Jafari Navimipour, Ali Newaz Bahar, Majid Haghparast, Şenay Yalçın, Saeed Setayeshi, Khan A. Wahid, Ali Barati and Jayanta Pal. Their work appears in journals such as Multimedia Tools and Applications, Nano Communication Networks, Optical and Quantum Electronics, Quantum Information Processing and Computers & Electrical Engineering.

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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