Salim Ullah

823 total citations
44 papers, 511 citations indexed

About

Salim Ullah is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Salim Ullah has authored 44 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 17 papers in Hardware and Architecture and 12 papers in Artificial Intelligence. Recurrent topics in Salim Ullah's work include Low-power high-performance VLSI design (19 papers), Parallel Computing and Optimization Techniques (13 papers) and VLSI and FPGA Design Techniques (10 papers). Salim Ullah is often cited by papers focused on Low-power high-performance VLSI design (19 papers), Parallel Computing and Optimization Techniques (13 papers) and VLSI and FPGA Design Techniques (10 papers). Salim Ullah collaborates with scholars based in Germany, Pakistan and Belgium. Salim Ullah's co-authors include Akash Kumar, Semeen Rehman, Muhammad Shafique, Siva Satyendra Sahoo, Muhammad Abdullah Hanif, Florian Kriebel, Zahra Ebrahimi, Muhammad Fahad, Aruna Tiwari and Sher Bahadar Khan and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computers and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Salim Ullah

40 papers receiving 499 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Salim Ullah Germany	12	374	158	88	87	82	44	511
Hamid Reza Mahdiani Iran	8	481 1.3×	123 0.8×	78 0.9×	110 1.3×	176 2.1×	20	591
Danil Sokolov United Kingdom	11	373 1.0×	334 2.1×	115 1.3×	121 1.4×	60 0.7×	76	559
Mohammad Saeed Ansari Canada	9	407 1.1×	127 0.8×	109 1.2×	73 0.8×	129 1.6×	16	454
Ali-Akbar Ahmadi Iran	6	441 1.2×	113 0.7×	69 0.8×	53 0.6×	169 2.1×	28	544
Yajuan He China	11	439 1.2×	133 0.8×	117 1.3×	28 0.3×	166 2.0×	41	477
Giovanni Ansaloni Switzerland	15	365 1.0×	359 2.3×	33 0.4×	55 0.6×	128 1.6×	74	689
Georgios Karakonstantis United Kingdom	17	709 1.9×	366 2.3×	41 0.5×	53 0.6×	133 1.6×	89	884
Ing-Chao Lin Taiwan	12	432 1.2×	222 1.4×	41 0.5×	41 0.5×	101 1.2×	49	537
Ramesh Bhakthavatchalu India	10	228 0.6×	209 1.3×	34 0.4×	63 0.7×	19 0.2×	70	361
Sied Mehdi Fakhraie Iran	13	375 1.0×	157 1.0×	36 0.4×	119 1.4×	38 0.5×	61	541

Countries citing papers authored by Salim Ullah

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Salim Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Salim Ullah. A scholar is included among the top collaborators of Salim Ullah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Salim Ullah. Salim Ullah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ullah, Salim, Siva Satyendra Sahoo, & Akash Kumar. (2025). Approximate Arithmetic Circuits Enabling Energy-Efficient Edge Computing. 1–6.

Liu, Yuhao, Salim Ullah, & Akash Kumar. (2024). BitSys: Bitwise Systolic Array Architecture for Multi-precision Quantized Hardware Accelerators. 220–220. 2 indexed citations

Sahoo, Siva Satyendra, et al.. (2024). AxOCS: Scaling FPGA-Based Approximate Operators Using Configuration Supersampling. IEEE Transactions on Circuits and Systems I Regular Papers. 71(6). 2646–2659. 2 indexed citations

Ullah, Salim & Akash Kumar. (2023). Approximate Arithmetic Circuit Architectures for FPGA-based Systems. 4 indexed citations

Ullah, Salim, et al.. (2023). NvMISC: Toward an FPGA-Based Emulation Platform for RISC-V and Nonvolatile Memories. IEEE Embedded Systems Letters. 15(4). 170–173. 1 indexed citations

Ullah, Salim, et al.. (2023). SyFAxO-GeN. 402–409. 3 indexed citations

Spagnolo, Fanny, Salim Ullah, Pasquale Corsonello, & Akash Kumar. (2022). ERMES: Efficient Racetrack Memory Emulation System based on FPGA. 342–349. 1 indexed citations

Ullah, Salim, et al.. (2022). Multi-Precision Deep Neural Network Acceleration on FPGAs. 454–459. 5 indexed citations

Ebrahimi, Zahra, Salim Ullah, & Akash Kumar. (2020). LeAp: Leading-one Detection-based Softcore Approximate Multipliers with Tunable Accuracy. 605–610. 14 indexed citations

10.

Ullah, Salim, et al.. (2020). Area-Optimized Accurate and Approximate Softcore Signed Multiplier Architectures. IEEE Transactions on Computers. 70(3). 384–392. 39 indexed citations

11.

Ullah, Salim, et al.. (2020). An Approximate Binary Classifier for Data Integrity Assessment in IoT Sensors. 1–4. 5 indexed citations

12.

Ali, Gowhar, et al.. (2019). Attenuation of vincristine-induced neuropathy by synthetic cyclohexenone-functionalized derivative in mice model. Neurological Sciences. 40(9). 1799–1811. 15 indexed citations

13.

Rehman, Semeen, et al.. (2018). DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. 917–920. 48 indexed citations

14.

Ullah, Salim, et al.. (2018). SMApproxLib: Library of FPGA-based Approximate Multipliers. Qucosa (Saxon State and University Library Dresden). 1–6. 41 indexed citations

15.

Ullah, Salim, Semeen Rehman, Florian Kriebel, et al.. (2018). Area-Optimized Low-Latency Approximate Multipliers for FPGA-based Hardware Accelerators. 1–6. 34 indexed citations

16.

Ullah, Salim, et al.. (2015). OPEN MP-BASED PARALLEL AND SCALABLE GENETIC SEQUENCE ALIGNMENT. 34(2). 29–34. 1 indexed citations

17.

Khan, Asif Ali, et al.. (2015). A novel structure of the Smith-Waterman Algorithm for efficient sequence alignment. 6–9. 5 indexed citations

18.

Ullah, Salim, et al.. (2011). BREAKING BAD NEWS - PERCEPTIONS OF CANCER PATIENTS AND THEIR RELATIVES. Journal of Postgraduate Medical Institute. 25(4). 2 indexed citations

19.

Ullah, Salim, et al.. (2011). RFAIDE — An RFID based navigation and object recognition assistant for visually impaired people. 1–4. 27 indexed citations

20.

Ashraf, Imran, et al.. (2010). Parameter tuning of evolutionary algorithm by Meta-EAs for WCET analysis. UWA Profiles and Research Repository (UWA). 17. 7–10. 2 indexed citations

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.

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