A.A. Gaffar

612 citations
13 papers · 471 · h-index 10

Impact in

Papers in

A.A. Gaffar

13 papers receiving 445 citations

Peers

A.A. Gaffar
Comparison fields: 5 of 33
  • Hardware and Architecture 246
  • Computational Theory and Mathematics 272
  • Signal Processing 131
  • Electrical and Electronic Engineering 245
  • Computer Vision and Pattern Recognition 44
Replace Ki-Il Kum with:
Ki-Il Kum South Korea
Javier Hormigo Spain
Byeong‐Gyu Nam South Korea
N. Shirazi United States
Seonil Choi United States
Khalid H. Abed United States
S.D. Sherlekar India
Jeff Bier United States
D. Al-Khalili Canada
Jérémie Detrey France
A.A. Gaffar relative to Ki-Il Kum South Korea Ki-Il Kum's profile →
Citations per field
00.5×
Ki-Il Kum · 1×
Citations per year

Countries citing papers authored by A.A. Gaffar

Since Specialization
Citations

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

Fields of papers citing papers by A.A. Gaffar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside A.A. Gaffar, 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 A.A. Gaffar Line = papers co-authored together A.A. Gaffar links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2006169
2 200484
3 200542
4 200339
5 200536
6 200225
7 200516
8 200616
9 200515
10 200610
11 20039
12 20067
13 20053

About A.A. Gaffar

A.A. Gaffar is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Hardware and Architecture, Signal Processing and Infectious Diseases, having authored 13 papers that have together received 471 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (10 papers), Numerical Methods and Algorithms (10 papers), VLSI and FPGA Design Techniques (7 papers), Embedded Systems Design Techniques (7 papers), VLSI and Analog Circuit Testing (2 papers), Digital Filter Design and Implementation (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Advancements in PLL and VCO Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (246 citations), Computational Theory and Mathematics (272 citations), Signal Processing (131 citations), Electrical and Electronic Engineering (245 citations) and Computer Vision and Pattern Recognition (44 citations). A.A. Gaffar has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Wayne Luk, Oskar Mencer, George A. Constantinides, Peter Y. K. Cheung, Ray C. C. Cheung, Dong-U Lee, N. Shirazi, Jonathan Clarke, James C. M. Hwang and George M. Constantinides. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Computers, Lecture notes in computer science and Spiral (Imperial College London).

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