Muhammad Shafique

11.2k citations
448 papers · 7.3k indexed · 2 hit papers · h-index 42

Impact in

Papers in

Muhammad Shafique

421 papers receiving 7.1k citations

Hit Papers

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends 2024 · 59 citations
59201320262017202150100150200250

Peers

Muhammad Shafique
Comparison fields: 5 of 126
  • Hardware and Architecture 3.2k
  • Computer Networks and Communications 2.2k
  • Signal Processing 870
  • Electrical and Electronic Engineering 4.1k
  • Computer Vision and Pattern Recognition 1.2k
Replace Jörg Henkel with:
Jörg Henkel Germany
Francky Catthoor Belgium
Robert P. Dick United States
Rajesh K. Gupta United States
Miodrag Potkonjak United States
Farinaz Koushanfar United States
Jürgen Teich Germany
Sandeep K. S. Gupta United States
Mohammad Abdullah Al Faruque United States
Magdy Bayoumi United States
Muhammad Shafique relative to Jörg Henkel Germany Jörg Henkel's profile →
Citations per field
00.5×1.5×
Jörg Henkel · 1×
Citations per year

Countries citing papers authored by Muhammad Shafique

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Shafique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20258
2 20251
3 202414
4 20248
5 20247
6 20244
7 20243
8 20245
9 20231
10 20237
11 20227
12 20227
13 202174
14 20219
15 202017
16 202014
17 201848
18 201615
19 20154
20 20156

About Muhammad Shafique

Muhammad Shafique is a scholar working on Hardware and Architecture, Signal Processing, Drug Discovery, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 448 papers that have together received 7.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (121 papers), Advanced Memory and Neural Computing (70 papers), Low-power high-performance VLSI design (69 papers), Interconnection Networks and Systems (67 papers), Embedded Systems Design Techniques (67 papers), Radiation Effects in Electronics (66 papers), Video Coding and Compression Technologies (64 papers) and Advanced Neural Network Applications (41 papers). The work is most often cited by research in Hardware and Architecture (3.2k citations), Computer Networks and Communications (2.2k citations), Signal Processing (870 citations), Electrical and Electronic Engineering (4.1k citations) and Computer Vision and Pattern Recognition (1.2k citations). Muhammad Shafique has collaborated with scholars based in Germany, Austria and United Arab Emirates. Frequent co-authors include Jörg Henkel, Semeen Rehman, Muhammad Abdullah Hanif, Jörg Henkel, Rehan Hafiz, Akash Kumar, Lars Bauer, Florian Kriebel, Santiago Pagani and Alberto Marchisio. Their work appears in journals such as IEEE Access, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Computers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Design and Test.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026