Mohammad Alian

620 citations
29 papers · 386 · h-index 12

Impact in

Papers in

Mohammad Alian

26 papers receiving 380 citations

Peers

Mohammad Alian
Comparison fields: 5 of 33
  • Hardware and Architecture 180
  • Computer Networks and Communications 243
  • Computational Mathematics 5
  • Computer Vision and Pattern Recognition 86
  • Information Systems 87
Replace Shin-haeng Kang with:
Shin-haeng Kang South Korea
Newsha Ardalani United States
Aman Arora United States
Esha Choukse United States
Bairen Yi Hong Kong
Amedeo Sapio Italy
Huynh Phung Huynh Singapore
Nanxi Kang United States
Guibin Wang China
Andrey Ayupov United States
Mohammad Alian relative to Shin-haeng Kang South Korea Shin-haeng Kang's profile →
Citations per field
00.5×3.9×
Shin-haeng Kang · 1×
Citations per year

Countries citing papers authored by Mohammad Alian

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Alian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202071
2 201863
3 201848
4 201728
5 201826
6 202124
7 201518
8 201917
9 202015
10 201713
11 202112
12 202211
13 202510
14 20186
15 20244
16 20184
17 20244
18 20242
19 20242
20 20232

About Mohammad Alian

Mohammad Alian is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 386 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Advanced Data Storage Technologies (15 papers), Interconnection Networks and Systems (9 papers), Cloud Computing and Resource Management (8 papers), Caching and Content Delivery (6 papers), Advanced Memory and Neural Computing (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Hardware and Architecture (180 citations), Computer Networks and Communications (243 citations), Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (86 citations) and Information Systems (87 citations). Mohammad Alian has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Nam Sung Kim, Daehoon Kim, Yifan Yuan, Hadi Esmaeilzadeh, Ren Wang, Youjie Li, Joon Kyung Kim, Hardik Sharma, Jongse Park and Alexander G. Schwing. Their work appears in journals such as IEEE Computer Architecture Letters, IEEE Micro and Seoul National University Open Repository (Seoul National University).

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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