Salim Ullah
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Low-power high-performance VLSI design
- VLSI and FPGA Design Techniques
- Advanced Memory and Neural Computing
- Advancements in Semiconductor Devices and Circuit Design
Papers in
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- Low-power high-performance VLSI design 23
- VLSI and FPGA Design Techniques 12
- Advanced Memory and Neural Computing 8
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- Parallel Computing and Optimization Techniques 15
- Co-authors
- Akash Kumar (41 shared papers)Semeen Rehman (5 shared papers)Muhammad Shafique (4 shared papers)Siva Satyendra Sahoo (16 shared papers)Muhammad Abdullah Hanif (3 shared papers)Florian Kriebel (2 shared papers)Zahra Ebrahimi (1 shared paper)Muhammad Fahad (1 shared paper)
In The Last Decade
Salim Ullah
45 papers receiving 562 citations
Peers
Comparison fields: 5 of 66
- Hardware and Architecture 180
- Electrical and Electronic Engineering 419
- Computational Theory and Mathematics 99
- Signal Processing 45
- Computer Vision and Pattern Recognition 75
Countries citing papers authored by Salim Ullah
This map shows the geographic impact of Salim Ullah'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 Salim Ullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salim Ullah more than expected).
Fields of papers citing papers by Salim Ullah
This network shows the impact of papers produced by Salim Ullah. 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 Salim Ullah. The network helps show where Salim Ullah may publish in the future.
Co-authors
The 25 scholars most cited alongside Salim Ullah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 77 | |
| 2 | 2018 | 53 | |
| 3 | 2020 | 45 | |
| 4 | 2018 | 44 | |
| 5 | 2018 | 38 | |
| 6 | 2018 | 36 | |
| 7 | 2018 | 35 | |
| 8 | 2011 | 29 | |
| 9 | 2020 | 26 | |
| 10 | 2021 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2019 | 16 | |
| 13 | 2020 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 10 | |
| 16 | 2020 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2015 | 7 |
About Salim Ullah
Salim Ullah is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 574 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (23 papers), Parallel Computing and Optimization Techniques (15 papers), VLSI and FPGA Design Techniques (12 papers), Numerical Methods and Algorithms (10 papers), Advanced Memory and Neural Computing (8 papers), Advanced Neural Network Applications (6 papers), Analog and Mixed-Signal Circuit Design (6 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Hardware and Architecture (180 citations), Electrical and Electronic Engineering (419 citations), Computational Theory and Mathematics (99 citations), Signal Processing (45 citations) and Computer Vision and Pattern Recognition (75 citations). Salim Ullah has collaborated with scholars based in Germany, Pakistan and Belgium. Frequent co-authors include Akash Kumar, Semeen Rehman, Muhammad Shafique, Siva Satyendra Sahoo, Muhammad Abdullah Hanif, Florian Kriebel, Zahra Ebrahimi, Muhammad Fahad, Gowhar Ali and Rahim Ullah. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Embedded Computing Systems, IEEE Access, ACM Transactions on Reconfigurable Technology and Systems and Neurological Sciences.
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.