Shovan Maity

1.7k total citations
48 papers, 1.1k citations indexed

About

Shovan Maity is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Shovan Maity has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 24 papers in Electrical and Electronic Engineering and 16 papers in Computer Networks and Communications. Recurrent topics in Shovan Maity's work include Wireless Body Area Networks (31 papers), Molecular Communication and Nanonetworks (24 papers) and Energy Harvesting in Wireless Networks (12 papers). Shovan Maity is often cited by papers focused on Wireless Body Area Networks (31 papers), Molecular Communication and Nanonetworks (24 papers) and Energy Harvesting in Wireless Networks (12 papers). Shovan Maity collaborates with scholars based in United States, India and Germany. Shovan Maity's co-authors include Shreyas Sen, Debayan Das, Baibhab Chatterjee, Mayukh Nath, Arijit Raychowdhury, Santosh Ghosh, Saad Bin Nasir, David Yang, Josef Danial and Xinyi Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Science Advances.

In The Last Decade

Shovan Maity

45 papers receiving 990 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shovan Maity United States 17 613 424 254 205 173 48 1.1k
Baibhab Chatterjee United States 17 629 1.0× 598 1.4× 218 0.9× 221 1.1× 187 1.1× 86 1.2k
Dongsuk Jeon South Korea 19 292 0.5× 842 2.0× 65 0.3× 151 0.7× 100 0.6× 58 1.2k
Alicia Klinefelter United States 12 241 0.4× 760 1.8× 147 0.6× 123 0.6× 228 1.3× 19 1.0k
Chiu‐Sing Choy Hong Kong 14 242 0.4× 451 1.1× 93 0.4× 129 0.6× 95 0.5× 106 816
Jos Huisken Netherlands 18 476 0.8× 779 1.8× 477 1.9× 64 0.3× 599 3.5× 99 1.5k
Antonio Pullini Italy 23 174 0.3× 1.0k 2.4× 655 2.6× 135 0.7× 711 4.1× 56 1.6k
Krishna Lal Baishnab India 15 214 0.3× 365 0.9× 91 0.4× 145 0.7× 34 0.2× 90 674
Shuenn-Yuh Lee Taiwan 25 1.2k 2.0× 1.2k 2.9× 160 0.6× 50 0.2× 57 0.3× 150 2.0k
Jeffrey Draper United States 18 138 0.2× 808 1.9× 476 1.9× 140 0.7× 424 2.5× 83 1.1k
Tony Tae-Hyoung Kim Singapore 22 265 0.4× 1.5k 3.4× 138 0.5× 186 0.9× 384 2.2× 154 1.7k

Countries citing papers authored by Shovan Maity

Since Specialization
Citations

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

Fields of papers citing papers by Shovan Maity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shovan Maity

This figure shows the co-authorship network connecting the top 25 collaborators of Shovan Maity. A scholar is included among the top collaborators of Shovan Maity 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 Shovan Maity. Shovan Maity 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.
Chatterjee, Baibhab, et al.. (2025). dAJC: A 2.02-mW 50-Mb/s Direct Analog to MJPEG Converter for Video Sensor Nodes Using Switched Capacitor MAC-Quantizer With Process Calibration. IEEE Journal of Solid-State Circuits. 60(10). 3720–3737.
2.
Yang, David, et al.. (2025). Human-structure and human-structure-human interaction in electro-quasistatic regime. Communications Engineering. 4(1). 26–26.
3.
Nath, Mayukh, et al.. (2023). Electro-Quasistatic Human-Structure Coupling for Human Presence Detection and Secure Data Offloading. PubMed. 2023. 1–4. 1 indexed citations
4.
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Nath, Mayukh, et al.. (2022). A Quantitative Analysis of Physical Security and Path Loss With Frequency for IBOB Channel. IEEE Microwave and Wireless Components Letters. 32(6). 792–795. 3 indexed citations
6.
Nath, Mayukh, et al.. (2022). Bio-Physical Modeling of Galvanic Human Body Communication in Electro-Quasistatic Regime. IEEE Transactions on Biomedical Engineering. 69(12). 3717–3727. 15 indexed citations
7.
Maity, Shovan, David Yang, Mayukh Nath, et al.. (2021). Sub-μWRComm: 415-nW 1–10-kb/s Physically and Mathematically Secure Electro-Quasi-Static HBC Node for Authentication and Medical Applications. IEEE Journal of Solid-State Circuits. 56(3). 788–802. 20 indexed citations
8.
Maity, Shovan, Mayukh Nath, Gargi Bhattacharya, Baibhab Chatterjee, & Shreyas Sen. (2020). On the Safety of Human Body Communication. IEEE Transactions on Biomedical Engineering. 67(12). 3392–3402. 31 indexed citations
9.
Das, Debayan, Josef Danial, Shovan Maity, et al.. (2020). EM and Power SCA-Resilient AES-256 Through >350× Current-Domain Signature Attenuation and Local Lower Metal Routing. IEEE Journal of Solid-State Circuits. 56(1). 136–150. 36 indexed citations
10.
11.
Maity, Shovan, et al.. (2019). BodyWire: A 6.3-pJ/b 30-Mb/s −30-dB SIR-Tolerant Broadband Interference-Robust Human Body Communication Transceiver Using Time Domain Interference Rejection. IEEE Journal of Solid-State Circuits. 54(10). 2892–2906. 57 indexed citations
12.
Chatterjee, Baibhab, Priyadarshini Panda, Shovan Maity, et al.. (2019). Exploiting Inherent Error Resiliency of Deep Neural Networks to Achieve Extreme Energy Efficiency Through Mixed-Signal Neurons. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 27(6). 1365–1377. 12 indexed citations
13.
Chatterjee, Baibhab, Charilaos Mousoulis, Dong‐Hyun Seo, et al.. (2019). A Wearable Real-Time CMOS Dosimeter With Integrated Zero-Bias Floating Gate Sensor and an 861-nW 18-Bit Energy-Resolution Scalable Time-Based Radiation to Digital Converter. IEEE Journal of Solid-State Circuits. 55(3). 650–665. 11 indexed citations
14.
Das, Debayan, Shovan Maity, Baibhab Chatterjee, & Shreyas Sen. (2019). Enabling Covert Body Area Network using Electro-Quasistatic Human Body Communication. Scientific Reports. 9(1). 4160–4160. 70 indexed citations
15.
Chatterjee, Baibhab, Debayan Das, Shovan Maity, & Shreyas Sen. (2018). RF-PUF: Enhancing IoT Security Through Authentication of Wireless Nodes Using <italic>In-Situ</italic> Machine Learning. IEEE Internet of Things Journal. 6(1). 388–398. 181 indexed citations
16.
Maity, Shovan, et al.. (2018). Bio-Physical Modeling, Characterization, and Optimization of Electro-Quasistatic Human Body Communication. IEEE Transactions on Biomedical Engineering. 66(6). 1791–1802. 85 indexed citations
17.
Maity, Shovan, et al.. (2018). A MedRadio Receiver Front-End With Wide Energy-Quality Scalability Through Circuit and Architecture-Level Reconfigurations. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8(3). 369–378. 7 indexed citations
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Ray, Ruma, et al.. (2010). Development and Evaluation of a New Interpenetrating Network Bead of Sodium Carboxymethyl Xanthan and Sodium Alginate for Ibuprofen Release. 7 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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