Muhammad Sameer Sheikh

747 citations
17 papers · 575 · h-index 11

Impact in

Papers in

Muhammad Sameer Sheikh

16 papers receiving 547 citations

Peers

Muhammad Sameer Sheikh
Comparison fields: 5 of 45
  • Automotive Engineering 143
  • Computer Networks and Communications 268
  • Electrical and Electronic Engineering 367
  • Building and Construction 68
  • Information Systems 114
Replace Nianbo Liu with:
Nianbo Liu China
Sohan Gyawali United States
Yuming Ge China
Nikita Lyamin Sweden
Samy El-Tawab United States
Aidin Ferdowsi United States
Omid Avatefipour United States
Yasser Morgan Canada
João Almeida Portugal
Wassim Znaïdi France
Muhammad Sameer Sheikh relative to Nianbo Liu China Nianbo Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Muhammad Sameer Sheikh

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Sameer Sheikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Sameer Sheikh. 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 Muhammad Sameer Sheikh. The network helps show where Muhammad Sameer Sheikh may publish in the future.

Co-authors

The 5 scholars most cited alongside Muhammad Sameer Sheikh, 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 Muhammad Sameer Sheikh Line = papers co-authored together Muhammad Sameer Sheikh links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2019165
2 2019139
3 2020111
4 202230
5 202024
6 202122
7 202218
8 202117
9 202415
10 202313
11 202211
12 20176
13 20241
14 20131
15 20251
16 20161
17
Super-Resolution Image Reconstruction based on 2D Cosparse Regularisation and Self Similarity Features
20170

About Muhammad Sameer Sheikh

Muhammad Sameer Sheikh is a scholar working on Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 17 papers that have together received 575 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (7 papers), Traffic control and management (6 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers), Traffic and Road Safety (4 papers), Advanced Vision and Imaging (2 papers), Traffic Prediction and Management Techniques (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Automotive Engineering (143 citations), Computer Networks and Communications (268 citations), Electrical and Electronic Engineering (367 citations), Building and Construction (68 citations) and Information Systems (114 citations). Muhammad Sameer Sheikh has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jun Liang, Wensong Wang, Amelia Regan, Ji Wang and Muhammad Usama. Their work appears in journals such as IEEE Access, Physica A Statistical Mechanics and its Applications, Journal of Advanced Transportation, Wireless Communications and Mobile Computing and Sensors.

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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