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
- Ferroelectric and Negative Capacitance Devices
Papers in
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- Low-power high-performance VLSI design 19
- VLSI and FPGA Design Techniques 10
- Advanced Memory and Neural Computing 7
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- Parallel Computing and Optimization Techniques 13
- Co-authors
- Akash Kumar (34 shared papers)Semeen Rehman (5 shared papers)Muhammad Shafique (4 shared papers)Siva Satyendra Sahoo (15 shared papers)Muhammad Abdullah Hanif (3 shared papers)Florian Kriebel (2 shared papers)Muhammad Fahad (1 shared paper)Zahra Ebrahimi (1 shared paper)
In The Last Decade
Salim Ullah
40 papers receiving 499 citations
Peers
Comparison fields: 5 of 68
- Hardware and Architecture 158
- Electrical and Electronic Engineering 374
- Computational Theory and Mathematics 88
- Signal Processing 41
- Computer Vision and Pattern Recognition 64
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 72 | |
| 2 | 2018 | 48 | |
| 3 | 2018 | 41 | |
| 4 | 2020 | 39 | |
| 5 | 2018 | 37 | |
| 6 | 2018 | 35 | |
| 7 | 2018 | 34 | |
| 8 | 2011 | 27 | |
| 9 | 2020 | 23 | |
| 10 | 2019 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2019 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2020 | 5 |
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 44 papers that have together received 511 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (19 papers), Parallel Computing and Optimization Techniques (13 papers), VLSI and FPGA Design Techniques (10 papers), Numerical Methods and Algorithms (8 papers), Advanced Memory and Neural Computing (7 papers), Analog and Mixed-Signal Circuit Design (4 papers), Neural Networks and Applications (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Hardware and Architecture (158 citations), Electrical and Electronic Engineering (374 citations), Computational Theory and Mathematics (88 citations), Signal Processing (41 citations) and Computer Vision and Pattern Recognition (64 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, Muhammad Fahad, Zahra Ebrahimi, Rahim Ullah and Gowhar Ali. 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.