Mohammad Alian

671 citations
31 papers · 442 · h-index 12

Impact in

Papers in

Mohammad Alian

26 papers receiving 433 citations

Peers

Mohammad Alian
Comparison fields: 5 of 33
  • Hardware and Architecture 200
  • Computer Networks and Communications 274
  • Computational Mathematics 5
  • Computer Vision and Pattern Recognition 95
  • Information Systems 97
Replace Hyojong Kim with:
Hyojong Kim United States
Ramesh Babu Chukka United Kingdom
Christina Giannoula Greece
Sam Davis United States
Guoyang Chen United States
Ehsan Totoni United States
Adrián Castelló Spain
Pengcheng Yao China
Minseok Lee South Korea
Vidushi Dadu United States
Mohammad Alian relative to Hyojong Kim United States Hyojong Kim's profile →
Citations per field
00.5×1.5×2×2.5×
Hyojong Kim · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202081
2 201869
3 201854
4 201730
5 202128
6 201826
7 201523
8 201920
9 202018
10 202515
11 202214
12 201713
13 202112
14 20187
15 20186
16 20246
17 20244
18 20244
19 20233
20 20242

About Mohammad Alian

Mohammad Alian is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 31 papers that have together received 442 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Advanced Data Storage Technologies (16 papers), Cloud Computing and Resource Management (9 papers), Interconnection Networks and Systems (9 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 (200 citations), Computer Networks and Communications (274 citations), Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (95 citations) and Information Systems (97 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, Alexander Gerhard Schwing, Youjie Li, Jongse Park, Zheng Qu and Eiman Ebrahimi. Their work appears in journals such as IEEE Computer Architecture Letters, IEEE Micro, Acta Poloniae Pharmaceutica - Drug Research 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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