Jagmohan Chauhan

1.6k total citations
35 papers, 634 citations indexed

About

Jagmohan Chauhan is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jagmohan Chauhan has authored 35 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 11 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Jagmohan Chauhan's work include Music and Audio Processing (9 papers), Speech and Audio Processing (5 papers) and User Authentication and Security Systems (5 papers). Jagmohan Chauhan is often cited by papers focused on Music and Audio Processing (9 papers), Speech and Audio Processing (5 papers) and User Authentication and Security Systems (5 papers). Jagmohan Chauhan collaborates with scholars based in United Kingdom, Australia and Canada. Jagmohan Chauhan's co-authors include Suranga Seneviratne, Aruna Seneviratne, Youngki Lee, Archan Misra, Cecilia Mascolo, Yining Hu, Young D. Kwon, Xia Tong, Dimitris Spathis and Andreas Grammenos and has published in prestigious journals such as IEEE Access, Computer and Journal of Medical Internet Research.

In The Last Decade

Jagmohan Chauhan

33 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jagmohan Chauhan United Kingdom 13 245 161 152 122 116 35 634
Álvaro Alesanco Spain 18 105 0.4× 99 0.6× 153 1.0× 124 1.0× 159 1.4× 53 889
Chakib Tadj Canada 17 294 1.2× 66 0.4× 291 1.9× 139 1.1× 164 1.4× 100 809
Daniel Hedin Sweden 13 239 1.0× 161 1.0× 303 2.0× 117 1.0× 41 0.4× 36 554
Seok‐Lyong Lee South Korea 14 126 0.5× 45 0.3× 150 1.0× 98 0.8× 297 2.6× 48 578
Sidra Abbas Pakistan 14 82 0.3× 96 0.6× 303 2.0× 233 1.9× 99 0.9× 29 714
V. D. Ambeth Kumar India 12 65 0.3× 83 0.5× 131 0.9× 106 0.9× 116 1.0× 84 514
Dimitris Spathis United Kingdom 14 120 0.5× 37 0.2× 216 1.4× 26 0.2× 122 1.1× 33 621
Jinsul Kim South Korea 12 64 0.3× 37 0.2× 76 0.5× 141 1.2× 140 1.2× 101 566
Jocelyne Fayn France 18 41 0.2× 63 0.4× 78 0.5× 109 0.9× 101 0.9× 79 857
Ala Saleh Alluhaidan Saudi Arabia 14 75 0.3× 80 0.5× 124 0.8× 93 0.8× 87 0.8× 67 509

Countries citing papers authored by Jagmohan Chauhan

Since Specialization
Citations

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

Fields of papers citing papers by Jagmohan Chauhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jagmohan Chauhan

This figure shows the co-authorship network connecting the top 25 collaborators of Jagmohan Chauhan. A scholar is included among the top collaborators of Jagmohan Chauhan 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 Jagmohan Chauhan. Jagmohan Chauhan 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.
2.
Vigneswaran, Ganesh, et al.. (2024). A machine learning approach using stone volume to predict stone-free status at ureteroscopy. World Journal of Urology. 42(1). 344–344. 7 indexed citations
3.
Dang, Ting, Jing Han, Xia Tong, et al.. (2023). Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. ePrints Soton (University of Southampton). 3914–3925. 4 indexed citations
4.
Han, Jing, Marco Montagna, Andreas Grammenos, et al.. (2023). Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study. Journal of Medical Internet Research. 25. e44804–e44804. 3 indexed citations
5.
Chauhan, Jagmohan, et al.. (2023). FedTM: Memory and Communication Efficient Federated Learning with Tsetlin Machine. ePrints Soton (University of Southampton). 1–8.
6.
Kwon, Young D., Jagmohan Chauhan, Hong Jia, Stylianos I. Venieris, & Cecilia Mascolo. (2023). LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms. ePrints Soton (University of Southampton). 138–151. 6 indexed citations
7.
Bergler, Christian, Maurice Gerczuk, Chloë Brown, et al.. (2023). A summary of the ComParE COVID-19 challenges. Frontiers in Digital Health. 5. 1058163–1058163. 7 indexed citations
8.
Chauhan, Jagmohan, et al.. (2023). MMLung: Moving Closer to Practical Lung Health Estimation using Smartphones. ePrints Soton (University of Southampton). 2333–2337. 1 indexed citations
9.
Han, Jing, Xia Tong, Dimitris Spathis, et al.. (2022). Sounds of COVID-19: exploring realistic performance of audio-based digital testing. npj Digital Medicine. 5(1). 16–16. 59 indexed citations
10.
Dang, Ting, Jing Han, Xia Tong, et al.. (2022). Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation. Journal of Medical Internet Research. 24(6). e37004–e37004. 23 indexed citations
11.
Han, Jing, Chloë Brown, Jagmohan Chauhan, et al.. (2021). Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data. arXiv (Cornell University). 63 indexed citations
12.
Kwon, Young D., Jagmohan Chauhan, Abhishek Kumar, Pan Hui, & Cecilia Mascolo. (2021). Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications. ePrints Soton (University of Southampton). 12 indexed citations
13.
Gao, Yang, Yanjun Zhu, Wei Wang, et al.. (2021). SonicASL. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 5(2). 1–30. 33 indexed citations
14.
Kassavou, Aikaterini, Jagmohan Chauhan, James Brimicombe, et al.. (2020). Assessing the acceptability of a text messaging service and smartphone app to support patient adherence to medications prescribed for high blood pressure: a pilot study. Pilot and Feasibility Studies. 6(1). 134–134. 9 indexed citations
15.
Harjula, Erkki, Teemu Leppänen, Ahsan Manzoor, et al.. (2019). Decentralized Iot Edge Nanoservice Architecture for Future Gadget-Free Computing. IEEE Access. 7. 119856–119872. 37 indexed citations
16.
Chauhan, Jagmohan, Suranga Seneviratne, Yining Hu, et al.. (2018). Breathing-Based Authentication on Resource-Constrained IoT Devices using Recurrent Neural Networks. Computer. 51(5). 60–67. 47 indexed citations
17.
Chauhan, Jagmohan, Yining Hu, Kanchana Thilakarathna, et al.. (2017). Are Wearables Ready for Secure and Direct Internet Communication?. GetMobile Mobile Computing and Communications. 21(3). 5–10. 3 indexed citations
18.
Chauhan, Jagmohan, Suranga Seneviratne, Mohamed Ali Kâafar, Anirban Mahanti, & Aruna Seneviratne. (2016). Characterization of early smartwatch apps. UNSWorks (University of New South Wales, Sydney, Australia). 1–6. 20 indexed citations
19.
Chauhan, Jagmohan. (2013). Simulation and Performance Evaluation of Hadoop Capacity Scheduler. University Library - University of Saskatchewan (University of Saskatchewan). 163–177. 2 indexed citations
20.
Chauhan, Jagmohan, Shaiful Chowdhury, & Dwight Makaroff. (2012). Performance Evaluation of Yahoo! S4: A First Look. 97. 58–65. 25 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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