Alisha Menon

840 total citations · 1 hit paper
11 papers, 639 citations indexed

About

Alisha Menon is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Neurology. According to data from OpenAlex, Alisha Menon has authored 11 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 4 papers in Biomedical Engineering and 2 papers in Neurology. Recurrent topics in Alisha Menon's work include Ferroelectric and Negative Capacitance Devices (11 papers), Advanced Memory and Neural Computing (8 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Alisha Menon is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (11 papers), Advanced Memory and Neural Computing (8 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Alisha Menon collaborates with scholars based in United States, Switzerland and Italy. Alisha Menon's co-authors include Jan M. Rabaey, Senam Tamakloe, Abbas Rahimi, Simone Benatti, Andy Zhou, Jonathan Ting, Yasser Khan, Luca Benini, Natasha A. D. Yamamoto and Ali Moin and has published in prestigious journals such as Nature Electronics, IEEE Transactions on Biomedical Circuits and Systems and Brain Informatics.

In The Last Decade

Alisha Menon

11 papers receiving 624 citations

Hit Papers

A wearable biosensing system with in-sensor adaptive mach... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alisha Menon United States 6 382 235 182 144 81 11 639
Senam Tamakloe United States 3 380 1.0× 190 0.8× 178 1.0× 143 1.0× 81 1.0× 5 581
Siyu Gao China 6 356 0.9× 203 0.9× 185 1.0× 84 0.6× 105 1.3× 35 597
Fred Burghardt United States 8 486 1.3× 329 1.4× 268 1.5× 147 1.0× 86 1.1× 12 851
Ali Moin United States 9 535 1.4× 332 1.4× 307 1.7× 155 1.1× 86 1.1× 13 910
Lucia Seminara Italy 16 600 1.6× 163 0.7× 419 2.3× 81 0.6× 105 1.3× 39 807
Jacob Sacks United States 7 337 0.9× 123 0.5× 118 0.6× 47 0.3× 82 1.0× 7 477
George Alexandrov United States 6 450 1.2× 303 1.3× 277 1.5× 135 0.9× 84 1.0× 17 794
Changcheng Wu China 15 253 0.7× 200 0.9× 339 1.9× 151 1.0× 28 0.3× 67 802
Jong-Seok Kim South Korea 14 402 1.1× 467 2.0× 238 1.3× 61 0.4× 77 1.0× 76 880
Michael Foshey United States 13 404 1.1× 93 0.4× 227 1.2× 149 1.0× 94 1.2× 18 717

Countries citing papers authored by Alisha Menon

Since Specialization
Citations

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

Fields of papers citing papers by Alisha Menon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alisha Menon

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

All Works

11 of 11 papers shown
2.
Menon, Alisha, et al.. (2023). Accelerating Hyperdimensional Computing with Vector Machines. 1–5. 1 indexed citations
3.
Menon, Alisha, et al.. (2022). Efficient emotion recognition using hyperdimensional computing with combinatorial channel encoding and cellular automata. Brain Informatics. 9(1). 14–14. 20 indexed citations
4.
Menon, Alisha, et al.. (2022). A Highly Energy-Efficient Hyperdimensional Computing Processor for Biosignal Classification. IEEE Transactions on Biomedical Circuits and Systems. 16(4). 524–534. 10 indexed citations
5.
Menon, Alisha, et al.. (2022). Brain-inspired Multi-level Control of an Assistive Prosthetic Hand through EMG Task Recognition. 1. 384–388. 2 indexed citations
6.
Menon, Alisha, et al.. (2022). On the Role of Hyperdimensional Computing for Behavioral Prioritization in Reactive Robot Navigation Tasks. 2022 International Conference on Robotics and Automation (ICRA). 9 indexed citations
8.
Moin, Ali, Andy Zhou, Abbas Rahimi, et al.. (2020). A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition. Nature Electronics. 4(1). 54–63. 502 indexed citations breakdown →
9.
Moin, Ali, Andy Zhou, Simone Benatti, et al.. (2019). Adaptive EMG-based hand gesture recognition using hyperdimensional computing.. arXiv (Cornell University). 3 indexed citations
10.
Moin, Ali, Andy Zhou, Simone Benatti, et al.. (2019). A wearable electromyography-based hand gesture recognition system with real-time on-board incremental learning and classification. arXiv (Cornell University). 1 indexed citations
11.
Moin, Ali, Andy Zhou, Abbas Rahimi, et al.. (2018). An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier. IRIS UNIMORE (University of Modena and Reggio Emilia). 75 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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