Mohammad A. Hoque

1.4k citations
46 papers · 1.1k · h-index 16

Impact in

Papers in

Mohammad A. Hoque

46 papers receiving 1.0k citations

Peers

Mohammad A. Hoque
Comparison fields: 5 of 81
  • Computer Networks and Communications 512
  • Computer Vision and Pattern Recognition 254
  • Information Systems 227
  • Automotive Engineering 112
  • Electrical and Electronic Engineering 485
Replace Muhammad Usman Shahid Khan with:
Muhammad Usman Shahid Khan Pakistan
Pino Caballero‐Gil Spain
Bi Zeng China
Vaibhav Bajpai Germany
Furqan Alam Saudi Arabia
Vaskar Raychoudhury India
Shalini Batra India
Kewei Sha United States
Abdelmajid Khelil Germany
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad A. Hoque

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad A. Hoque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021131
2 2012120
3 201597
4 201477
5 202069
6 201361
7 202158
8 201839
9 201339
10 200937
11 201730
12 201329
13 201127
14 202122
15 201520
16 201520
17 201015
18 201415
19 201913
20 201313

About Mohammad A. Hoque

Mohammad A. Hoque is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Green IT and Sustainability (18 papers), Caching and Content Delivery (14 papers), Image and Video Quality Assessment (7 papers), Advanced Battery Technologies Research (6 papers), Wireless Networks and Protocols (5 papers), Mobile Ad Hoc Networks (5 papers), Cloud Computing and Resource Management (4 papers) and Cooperative Communication and Network Coding (4 papers). The work is most often cited by research in Computer Networks and Communications (512 citations), Computer Vision and Pattern Recognition (254 citations), Information Systems (227 citations), Automotive Engineering (112 citations) and Electrical and Electronic Engineering (485 citations). Mohammad A. Hoque has collaborated with scholars based in Finland, United States and South Korea. Frequent co-authors include Matti Siekkinen, Jukka K. Nurminen, Sasu Tarkoma, Md Sadek Ferdous, Mohammad Jabed Morshed Chowdhury, Xiaoyan Hong, Kashif Nizam Khan, Mingzhou Jin, David B. Clarke and Abdullah Al Khaled. Their work appears in journals such as IEEE Transactions on Mobile Computing, Pervasive and Mobile Computing, Journal of Network and Computer Applications, IEEE Pervasive Computing and Distributed and Parallel Databases.

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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