Subhas Chandra Mukhopadhyay

Biomedical Engineering · 2012–2023

A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Subhas Chandra Mukhopadhyay trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Nagender Kumar Suryadevara
  2. Oscar D. Lara
  3. Juha Pärkkä
  4. Paolo Bonato
  5. Søren Brage
  6. Miikka Ermes
  7. Miguel A. Labrador

Who trusts Subhas Chandra Mukhopadhyay overall

  1. John E. Mathieu
  2. Valentina Bianchi
  3. Hemant Ghayvat
  4. P. Gallagher
  5. Marco Bassoli
  6. Abhishek Khanna
  7. Monique Alexandria Alvarez Domingo
  8. Maria Cornacchia
  9. Gianfranco Lombardo
  10. Jian Liu

Papers from Subhas Chandra Mukhopadhyay's perspective

Ordered by how strongly the researchers Subhas Chandra Mukhopadhyay trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Context-aware wireless sensor networks for assisted living and residential monitoring (IEEE Network)
  2. From today's INTRAnet of things to a future INTERnet of things: a wireless- and mobility-related view (IEEE wireless communications)
  3. State of the art of smart homes (Engineering applications of artificial intelligence)
  4. Wireless Sensor Network Based Home Monitoring System for Wellness Determination of Elderly (IEEE Sensors Journal)
  5. Towards the Implementation of IoT for Environmental Condition Monitoring in Homes (IEEE Sensors Journal)
  6. Inventing wellness systems for aging in place (Computer)
  7. A capability-based security approach to manage access control in the Internet of Things (Mathematical and computer modelling)
  8. Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors (Italian National Conference on Sensors)
  9. Topology management techniques for tolerating node failures in wireless sensor networks: A survey (Comput. Networks)
  10. Monitoring Motor Fluctuations in Patients with Parkinson’s Disease Using Wearable Sensors (IEEE Transactions on Information Technology in Biomedicine)

Their papers