Salim Ullah
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 13
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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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- Numerical Methods and Algorithms 8
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- Advanced Neural Network Applications 4
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- Neural Networks and Applications 4
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- Analog and Mixed-Signal Circuit Design 4
- Co-authors
- Akash KumarSemeen RehmanMuhammad ShafiqueSiva Satyendra SahooMuhammad Abdullah HanifFlorian KriebelZahra EbrahimiMuhammad Fahad
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputational Theory and Mathematics
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 0 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 39 | |
| 11 | 2020 | 5 | |
| 12 | 2019 | 15 | |
| 13 | 2018 | 48 | |
| 14 | 2018 | 41 | |
| 15 | 2018 | 34 | |
| 16 | 2015 | 1 | |
| 17 | 2015 | 5 | |
| 18 | BREAKING BAD NEWS - PERCEPTIONS OF CANCER PATIENTS AND THEIR RELATIVES | 2011 | 2 |
| 19 | 2011 | 27 | |
| 20 | 2010 | 2 |
About Salim Ullah
Salim Ullah is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Electrical and Electronic Engineering, 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), Advanced Neural Network Applications (4 papers), Neural Networks and Applications (4 papers) and Analog and Mixed-Signal Circuit Design (4 papers). The work is most often cited by research in Hardware and Architecture (158 citations), Electrical and Electronic Engineering (374 citations) and Computational Theory and Mathematics (88 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, Rahim Ullah and Aruna Tiwari. 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.