Sumit Majumder

6.1k total citations · 3 hit papers
19 papers, 2.0k citations indexed

About

Sumit Majumder is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Sumit Majumder has authored 19 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Biomedical Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Sumit Majumder's work include Context-Aware Activity Recognition Systems (8 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Sumit Majumder is often cited by papers focused on Context-Aware Activity Recognition Systems (8 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Sumit Majumder collaborates with scholars based in Canada, Bangladesh and Iran. Sumit Majumder's co-authors include M. Jamal Deen, Tapas Mondal, Moein Noferesti, Zhibo Pang, Emad Aghayi, Hamidreza Memarzadeh‐Tehran, Abu Ilius Faisal, David Cowan, Sasan Naseh and Ognian Marinov and has published in prestigious journals such as IEEE Access, Sensors and IEEE Internet of Things Journal.

In The Last Decade

Sumit Majumder

18 papers receiving 1.9k citations

Hit Papers

Wearable Sensors for Remote Health Monitoring 2017 2026 2020 2023 2017 2017 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sumit Majumder Canada 11 955 392 301 261 234 19 2.0k
Hyung Park South Korea 12 1.2k 1.2× 321 0.8× 274 0.9× 198 0.8× 155 0.7× 36 2.2k
Shyamal Patel United States 22 1.6k 1.6× 578 1.5× 453 1.5× 392 1.5× 182 0.8× 63 3.2k
Hamid GholamHosseini New Zealand 22 799 0.8× 355 0.9× 195 0.6× 262 1.0× 380 1.6× 104 2.2k
Tapas Mondal Canada 26 1.2k 1.3× 379 1.0× 506 1.7× 303 1.2× 724 3.1× 103 3.6k
Alexandros Pantelopoulos United States 11 1.2k 1.3× 500 1.3× 361 1.2× 505 1.9× 592 2.5× 23 2.4k
María Lindén Sweden 20 583 0.6× 250 0.6× 124 0.4× 127 0.5× 238 1.0× 104 1.6k
Christophe Escriba France 10 447 0.5× 486 1.2× 416 1.4× 306 1.2× 89 0.4× 37 1.5k
Filippo Cavallo Italy 31 1.2k 1.3× 817 2.1× 292 1.0× 222 0.9× 128 0.5× 170 3.9k
Mirza Mansoor Baig New Zealand 15 472 0.5× 254 0.6× 98 0.3× 237 0.9× 300 1.3× 73 1.6k
Nabil Alshurafa United States 24 644 0.7× 601 1.5× 193 0.6× 201 0.8× 143 0.6× 97 1.9k

Countries citing papers authored by Sumit Majumder

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Majumder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumit Majumder

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

All Works

19 of 19 papers shown
1.
Majumder, Sumit, Arup Kumer Roy, Tapas Mondal, & M. Jamal Deen. (2025). Flexible Sensors for IoT-Based Health Monitoring. 4(2). 63–88. 5 indexed citations
2.
Roy, Arup Kumer, et al.. (2024). Hydrogen peroxide assisted synthesis of fluorescent carbon nanoparticles from teak leaves for dye-sensitized solar cells. RSC Sustainability. 2(4). 1003–1013. 1 indexed citations
3.
Majumder, Sumit, et al.. (2024). A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques. Brain Informatics. 11(1). 17–17. 15 indexed citations
4.
Majumder, Sumit, Arup Kumer Roy, Wei Jiang, Tapas Mondal, & M. Jamal Deen. (2023). Smart Textiles to Enable In-Home Health Care: State of the Art, Challenges, and Future Perspectives. 3(4). 120–150. 9 indexed citations
5.
Majumder, Sumit, et al.. (2022). Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges. Sensors. 22(2). 438–438. 66 indexed citations
6.
Ye, Fang, Sumit Majumder, Wei Jiang, et al.. (2022). A Framework for Infectious Disease Monitoring With Automated Contact Tracing—A Case Study of COVID-19. IEEE Internet of Things Journal. 10(1). 144–165. 10 indexed citations
7.
Naghshvarianjahromi, Mahdi, et al.. (2021). Natural Brain-Inspired Intelligence for Screening in Healthcare Applications. IEEE Access. 9. 67957–67973. 9 indexed citations
8.
Faisal, Abu Ilius, Sumit Majumder, Ryan P. Scott, et al.. (2020). A Simple, Low-Cost Multi-Sensor-Based Smart Wearable Knee Monitoring System. IEEE Sensors Journal. 21(6). 8253–8266. 26 indexed citations
9.
Majumder, Sumit & M. Jamal Deen. (2020). Wearable IMU-Based System for Real-Time Monitoring of Lower-Limb Joints. IEEE Sensors Journal. 21(6). 8267–8275. 39 indexed citations
10.
Majumder, Sumit & M. Jamal Deen. (2020). A Robust Orientation Filter for Wearable Sensing Applications. IEEE Sensors Journal. 20(23). 14228–14236. 19 indexed citations
11.
Faisal, Abu Ilius, Sumit Majumder, Tapas Mondal, et al.. (2019). Monitoring Methods of Human Body Joints: State-of-the-Art and Research Challenges. Sensors. 19(11). 2629–2629. 130 indexed citations
12.
Majumder, Sumit & M. Jamal Deen. (2019). Smartphone Sensors for Health Monitoring and Diagnosis. Sensors. 19(9). 2164–2164. 255 indexed citations breakdown →
13.
Majumder, Sumit, Tapas Mondal, & M. Jamal Deen. (2018). A Simple, Low-Cost and Efficient Gait Analyzer for Wearable Healthcare Applications. IEEE Sensors Journal. 19(6). 2320–2329. 39 indexed citations
14.
Majumder, Sumit, Leon Chen, Ognian Marinov, et al.. (2018). Noncontact Wearable Wireless ECG Systems for Long-Term Monitoring. IEEE Reviews in Biomedical Engineering. 11. 306–321. 121 indexed citations
15.
Majumder, Sumit, Tapas Mondal, & M. Jamal Deen. (2017). Wearable Sensors for Remote Health Monitoring. Sensors. 17(1). 130–130. 881 indexed citations breakdown →
16.
Majumder, Sumit, Emad Aghayi, Moein Noferesti, et al.. (2017). Smart Homes for Elderly Healthcare—Recent Advances and Research Challenges. Sensors. 17(11). 2496–2496. 351 indexed citations breakdown →
17.
Deen, M. Jamal, Sumit Majumder, Ognian Marinov, & Munir M. El‐Desouki. (2011). Random telegraph signal noise in CMOS active pixel sensors. 208–211. 3 indexed citations
18.
Majumder, Sumit, Munir M. El‐Desouki, Ognian Marinov, & M. Jamal Deen. (2010). Random Telegraph Signal Noise in CMOS Imagers and Its Impact on Image Quality. ECS Meeting Abstracts. MA2010-01(19). 1066–1066. 1 indexed citations
19.
Majumder, Sumit, et al.. (1989). EXPERT SYSTEM FOR WELDING - WELDEX SYSTEM FOR COMPUTER-AIDED OPTIMISATION OF WELDING TECHNOLOGY.

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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