Rishad Shafik

2.1k total citations · 1 hit paper
129 papers, 1.4k citations indexed

About

Rishad Shafik is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Rishad Shafik has authored 129 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Electrical and Electronic Engineering, 44 papers in Hardware and Architecture and 39 papers in Computer Networks and Communications. Recurrent topics in Rishad Shafik's work include Parallel Computing and Optimization Techniques (28 papers), Advanced Memory and Neural Computing (27 papers) and Low-power high-performance VLSI design (21 papers). Rishad Shafik is often cited by papers focused on Parallel Computing and Optimization Techniques (28 papers), Advanced Memory and Neural Computing (27 papers) and Low-power high-performance VLSI design (21 papers). Rishad Shafik collaborates with scholars based in United Kingdom, India and Norway. Rishad Shafik's co-authors include Ahm Razibul Islam, Md. Shahriar Rahman, Alex Yakovlev, Bashir M. Al‐Hashimi, Geoff V. Merrett, Anup Das, Sheng Yang, Ole‐Christoffer Granmo, Issa Qiqieh and Dhiraj K. Pradhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Computer.

In The Last Decade

Rishad Shafik

108 papers receiving 1.4k citations

Hit Papers

On the Extended Relationships Among EVM, BER and SNR as P... 2006 2026 2012 2019 2006 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. On the Extended Relationships Among EVM, BER and SNR as Performance Metrics
    2006 462 citations Rishad Shafik et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rishad Shafik United Kingdom 18 1.0k 400 375 213 95 129 1.4k
Yuan Cao China 18 708 0.7× 607 1.5× 223 0.6× 164 0.8× 58 0.6× 100 1.2k
Yajun Ha Singapore 20 785 0.8× 592 1.5× 527 1.4× 291 1.4× 79 0.8× 142 1.6k
Martin Margala United States 21 840 0.8× 524 1.3× 332 0.9× 208 1.0× 140 1.5× 226 1.5k
Lei Jiang United States 25 899 0.9× 696 1.7× 665 1.8× 311 1.5× 86 0.9× 86 1.9k
Guido Masera Italy 19 1.2k 1.1× 172 0.4× 837 2.2× 397 1.9× 47 0.5× 199 1.9k
Hanrui Wang United States 15 482 0.5× 301 0.8× 205 0.5× 623 2.9× 65 0.7× 43 1.3k
Ian Kuon Canada 13 1.2k 1.2× 1.2k 2.9× 496 1.3× 160 0.8× 37 0.4× 14 1.8k
Rabi Mahapatra United States 17 463 0.5× 375 0.9× 504 1.3× 166 0.8× 112 1.2× 113 1.1k
Jia Di United States 19 795 0.8× 351 0.9× 153 0.4× 310 1.5× 97 1.0× 110 1.1k
Susmita Sur‐Kolay India 15 371 0.4× 277 0.7× 243 0.6× 386 1.8× 124 1.3× 99 1.1k

Countries citing papers authored by Rishad Shafik

Since Specialization
Citations

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

Fields of papers citing papers by Rishad Shafik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rishad Shafik

This figure shows the co-authorship network connecting the top 25 collaborators of Rishad Shafik. A scholar is included among the top collaborators of Rishad Shafik 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 Rishad Shafik. Rishad Shafik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Acharyya, Amit, et al.. (2025). Design Methodologies for Skyrmion-Based Circuits and Systems in AI-Driven Applications: Bi-Directional Integration [Feature]. IEEE Circuits and Systems Magazine. 25(3). 30–55.
2.
Jiao, Lei, et al.. (2025). An All-Digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification Accelerator. IEEE Transactions on Circuits and Systems I Regular Papers. 73(2). 1107–1120.
3.
Wang, Wei, et al.. (2025). IMPACT: In-Memory ComPuting Architecture based on Y-FlAsh Technology for Coalesced Tsetlin machine inference. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 383(2288). 20230393–20230393. 1 indexed citations
4.
Shafik, Rishad, et al.. (2025). Dynamic Tsetlin Machine Accelerators for On-Chip Training Using FPGAs. IEEE Transactions on Circuits and Systems I Regular Papers. 72(11). 6962–6975. 1 indexed citations
5.
Shafik, Rishad, et al.. (2024). Run-Time Energy and Time Management for Intermittent LoRaWAN Communications. Newcastle University ePrints (Newcastle Univesity). 1–6. 1 indexed citations
6.
Shafik, Rishad, et al.. (2024). MATADOR: Automated System-on-Chip Tsetlin Machine Design Generation for Edge Applications. 1–6. 2 indexed citations
7.
Jiao, Lei, et al.. (2024). Tsetlin Machine-Based Image Classification FPGA Accelerator With On-Device Training. IEEE Transactions on Circuits and Systems I Regular Papers. 72(2). 830–843. 3 indexed citations
8.
Gorbenko, Anatoliy, et al.. (2024). Multi-Layer Tsetlin Machine: Architecture and Performance Evaluation. Leeds Beckett Repository (Leeds Beckett University). 1–8.
9.
Shafik, Rishad, et al.. (2023). REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(9). 11152–11168. 20 indexed citations
10.
Jiao, Lei, et al.. (2023). Convolutional Tsetlin Machine-based Training and Inference Accelerator for 2-D Pattern Classification. Microprocessors and Microsystems. 103. 104949–104949. 6 indexed citations
11.
Shafik, Rishad, et al.. (2023). Systematic Search for Optimal Hyper-parameters of the Tsetlin Machine on MNIST Dataset. Leeds Beckett Repository (Leeds Beckett University). 1–8. 4 indexed citations
12.
Shafik, Rishad, et al.. (2023). Introducing TRIM Automata for Tsetlin Machines. 1 indexed citations
13.
Shafik, Rishad, et al.. (2023). AI-Driven Battery State-of-Charge Estimation using Electrochemical Impedance Spectroscopy. 1–8. 3 indexed citations
14.
Lei, Jie, Rishad Shafik, Alex Yakovlev, et al.. (2021). Low-Power Audio Keyword Spotting Using Tsetlin Machines. Journal of Low Power Electronics and Applications. 11(2). 18–18. 21 indexed citations
15.
Shafik, Rishad, et al.. (2020). Learning automata based energy-efficient AI hardware design for IoT applications. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 378(2182). 20190593–20190593. 47 indexed citations
16.
Xia, Fei, et al.. (2020). Amdahl's law in the context of heterogeneous many‐core systems – a survey. IET Computers & Digital Techniques. 14(4). 133–148. 14 indexed citations
17.
Xia, Fei, et al.. (2020). PARMA: Parallelization-Aware Run-Time Management for Energy-Efficient Many-Core Systems. IEEE Transactions on Computers. 69(10). 1507–1518. 9 indexed citations
18.
Xia, Fei, et al.. (2020). Low-Complexity Run-time Management of Concurrent Workloads for Energy-Efficient Multi-Core Systems. Journal of Low Power Electronics and Applications. 10(3). 25–25. 1 indexed citations
19.
Xia, Fei, et al.. (2019). Neural network design for energy-autonomous artificial intelligence applications using temporal encoding. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 378(2164). 20190166–20190166. 5 indexed citations
20.
Das, Anup, Akash Kumar, Bharadwaj Veeravalli, et al.. (2015). Workload uncertainty characterization and adaptive frequency scaling for energy minimization of embedded systems. Design, Automation, and Test in Europe. 43–48. 17 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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