Mohammed Benaissa

2.4k total citations
119 papers, 1.5k citations indexed

About

Mohammed Benaissa is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Mohammed Benaissa has authored 119 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 51 papers in Information Systems and 29 papers in Electrical and Electronic Engineering. Recurrent topics in Mohammed Benaissa's work include Coding theory and cryptography (52 papers), Cryptography and Residue Arithmetic (49 papers) and Cryptographic Implementations and Security (29 papers). Mohammed Benaissa is often cited by papers focused on Coding theory and cryptography (52 papers), Cryptography and Residue Arithmetic (49 papers) and Cryptographic Implementations and Security (29 papers). Mohammed Benaissa collaborates with scholars based in United Kingdom, Saudi Arabia and Finland. Mohammed Benaissa's co-authors include D. Taylor, Tim Good, Said Boussakta, Heidi Christensen, Daisy Elliott, Mohamed N. Hassan, Mohammad R. Eissa, Jackie Elliott, Michael Gössel and Hatim Behairy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mohammed Benaissa

113 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Benaissa United Kingdom 20 965 686 242 201 155 119 1.5k
John Daniels United Kingdom 10 446 0.5× 331 0.5× 54 0.2× 46 0.2× 234 1.5× 29 1.1k
Antonio García Spain 20 277 0.3× 233 0.3× 446 1.8× 259 1.3× 76 0.5× 107 1.3k
Feyzullah Temurtaş Türkiye 21 465 0.5× 102 0.1× 227 0.9× 138 0.7× 21 0.1× 66 1.4k
Muhammad Azhar Iqbal Pakistan 19 194 0.2× 363 0.5× 92 0.4× 60 0.3× 495 3.2× 81 1.2k
Weifeng Xu United States 19 236 0.2× 247 0.4× 167 0.7× 26 0.1× 257 1.7× 86 1.4k
Giovanni Agosta Italy 15 412 0.4× 142 0.2× 232 1.0× 157 0.8× 209 1.3× 95 1.0k
Željko Žilić Canada 20 237 0.2× 212 0.3× 607 2.5× 215 1.1× 413 2.7× 171 1.7k
Bo Liu China 16 303 0.3× 54 0.1× 408 1.7× 69 0.3× 88 0.6× 119 1.0k
José M. Garcı́a Spain 23 247 0.3× 123 0.2× 275 1.1× 129 0.6× 661 4.3× 160 2.0k

Countries citing papers authored by Mohammed Benaissa

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Benaissa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Benaissa

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Benaissa. A scholar is included among the top collaborators of Mohammed Benaissa 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 Mohammed Benaissa. Mohammed Benaissa 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.
Elliott, Jackie, et al.. (2024). Data-driven blood glucose level prediction in type 1 diabetes: a comprehensive comparative analysis. Scientific Reports. 14(1). 21863–21863. 8 indexed citations
2.
Benaissa, Mohammed, et al.. (2024). High-Speed Polynomials Multiplication HW Accelerator for CRYSTALS-Kyber. IEEE Transactions on Circuits and Systems I Regular Papers. 71(12). 6105–6113. 3 indexed citations
3.
Elliott, Daisy, et al.. (2024). In Vitro Glucose Measurement from NIR and MIR Spectroscopy: Comprehensive Benchmark of Machine Learning and Filtering Chemometrics. Heliyon. 10(10). e30981–e30981. 4 indexed citations
4.
Elliott, Jackie, et al.. (2024). Physical Activity Integration in Blood Glucose Level Prediction: Different Levels of Data Fusion. IEEE Journal of Biomedical and Health Informatics. 29(2). 1397–1408.
5.
Elliott, Daisy, et al.. (2023). Blood Glucose Level Time Series Forecasting: Nested Deep Ensemble Learning Lag Fusion. Bioengineering. 10(4). 487–487. 14 indexed citations
6.
Benaissa, Mohammed, et al.. (2023). Fully Homomorphic Encryption Accelerator Using DSP Embedded Multiplier. 8438. 278–284.
7.
Eissa, Mohammad R., et al.. (2023). Automatic inference of hypoglycemia causes in type 1 diabetes: a feasibility study. SHILAP Revista de lepidopterología. 4. 1095859–1095859. 3 indexed citations
8.
9.
Eissa, Mohammad R., et al.. (2022). COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation framework. Computers in Biology and Medicine. 144. 105361–105361. 18 indexed citations
10.
Elliott, Daisy, et al.. (2022). Interpretable Machine Learning for Inpatient COVID-19 Mortality Risk Assessments: Diabetes Mellitus Exclusive Interplay. Sensors. 22(22). 8757–8757. 9 indexed citations
11.
Vehkaperä, Mikko, et al.. (2019). Simultaneous Wireless Information and Power Transfer Based on Generalized Triangular Decomposition. IEEE Transactions on Green Communications and Networking. 3(3). 751–764. 4 indexed citations
12.
Benaissa, Mohammed, et al.. (2019). A new diagnostic approach for the identification of patients with neurodegenerative cognitive complaints. PLoS ONE. 14(5). e0217388–e0217388. 27 indexed citations
13.
Benaissa, Mohammed, et al.. (2012). Tele-healthcare for diabetes management: A low cost automatic approach. PubMed. 2012. 1290–1293. 2 indexed citations
14.
Benaissa, Mohammed, et al.. (2012). Determination of glucose concentration from near-infrared spectra using locally weighted partial least square regression. PubMed. 171. 6169–6171. 2 indexed citations
15.
Benaissa, Mohammed, et al.. (2011). Frequency self deconvolution in the quantitative analysis of near infrared spectra. Analytica Chimica Acta. 705(1-2). 135–147. 9 indexed citations
16.
Benaissa, Mohammed, et al.. (2009). Polynomial Residue Number System GF(2 m ) multiplier using trinomials. European Signal Processing Conference. 958–962. 3 indexed citations
17.
Furness, Robert W., et al.. (2002). Multiplication using the triangular basis representation over GF(2/sup m/). 2. 788–792. 2 indexed citations
18.
Benaissa, Mohammed, et al.. (1995). Bit-serial Berlekamp-like multipliers for GF (2 m ). Electronics Letters. 31(22). 1893–1894. 5 indexed citations
19.
Benaissa, Mohammed, S.S. Dlay, & A.G.J. Holt. (1991). CMOS VLSI design of a high-speed Fermat number transform based convolver/correlator using three-input adders. IEE Proceedings G Circuits Devices and Systems. 138(2). 182–182. 7 indexed citations
20.
Benaissa, Mohammed, O. Saur, & J.C. Lavalley. (1982). Etude infrarouge des sites d'adsorption des alcools sur alumine. Materials Chemistry. 7(5). 699–714. 10 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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