D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 80 Citations 33,806 615 World Ranking 429 National Ranking 255
Electronics and Electrical Engineering D-index 63 Citations 23,550 381 World Ranking 439 National Ranking 225

Research.com Recognitions

Awards & Achievements

1997 - IEEE Fellow For contributions to the theory and applications of distributed detection and data fusion.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer network

The scientist’s investigation covers issues in Wireless sensor network, Sensor fusion, Artificial intelligence, Algorithm and Computer network. His Wireless sensor network research is multidisciplinary, incorporating elements of Wireless, Wireless network, Key distribution in wireless sensor networks, Distributed computing and Sensor array. His Sensor fusion research includes elements of Detection theory, Decision theory, Fusion rules, Copula and Robustness.

The study incorporates disciplines such as Machine learning, Data mining, Computer vision and Pattern recognition in addition to Artificial intelligence. His Algorithm study also includes

  • Estimator which intersects with area such as Kalman filter,
  • Particle filter most often made with reference to Upper and lower bounds. His Computer network research is multidisciplinary, incorporating perspectives in Energy consumption, Wireless ad hoc network and Efficient energy use.

His most cited work include:

  • Distributed Detection and Data Fusion (1378 citations)
  • A pairwise key pre-distribution scheme for wireless sensor networks (1077 citations)
  • Optimal Data Fusion in Multiple Sensor Detection Systems (1018 citations)

What are the main themes of his work throughout his whole career to date?

Pramod K. Varshney mostly deals with Algorithm, Artificial intelligence, Wireless sensor network, Sensor fusion and Pattern recognition. His Algorithm study which covers Detection theory that intersects with Electronic engineering. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Computer vision.

His study with Wireless sensor network involves better knowledge in Computer network. Pramod K. Varshney regularly links together related areas like Distributed computing in his Computer network studies. His research on Sensor fusion often connects related topics like Data mining.

He most often published in these fields:

  • Algorithm (30.84%)
  • Artificial intelligence (25.30%)
  • Wireless sensor network (22.48%)

What were the highlights of his more recent work (between 2016-2021)?

  • Algorithm (30.84%)
  • Wireless sensor network (22.48%)
  • Artificial intelligence (25.30%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Algorithm, Wireless sensor network, Artificial intelligence, Detector and Compressed sensing. His Algorithm study combines topics in areas such as Detection theory, Probability density function and Code. His biological study spans a wide range of topics, including Wireless, Fusion center, Network topology, Energy and Real-time computing.

His Real-time computing research incorporates themes from False alarm and Sensor fusion. His work deals with themes such as Machine learning and Pattern recognition, which intersect with Artificial intelligence. In his research on the topic of Machine learning, Distributed computing is strongly related with Inference.

Between 2016 and 2021, his most popular works were:

  • Data Falsification Attacks on Consensus-Based Detection Systems (36 citations)
  • Sparse Signal Detection With Compressive Measurements via Partial Support Set Estimation (33 citations)
  • Autonomous Fall Detection With Wearable Cameras by Using Relative Entropy Distance Measure (32 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Machine learning

Algorithm, Wireless sensor network, Artificial intelligence, Detector and Communication channel are his primary areas of study. His studies in Algorithm integrate themes in fields like Statistical hypothesis testing, Random variable, Detection theory, Tracking and Benchmark. His Wireless sensor network study incorporates themes from Wireless, Probability density function, Quantization, Energy and Sensor fusion.

The Sensor fusion study combines topics in areas such as Computer security, Interpretability and Audit. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Pattern recognition. Pramod K. Varshney has researched Detector in several fields, including Real-time computing and Likelihood-ratio test.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A pairwise key predistribution scheme for wireless sensor networks

Wenliang Du;Jing Deng;Yunghsiang S. Han;Pramod K. Varshney.
ACM Transactions on Information and System Security (2005)

2352 Citations

Distributed Detection and Data Fusion

Pramod K. Varshney.
(1996)

2147 Citations

A pairwise key pre-distribution scheme for wireless sensor networks

Wenliang Du;Jing Deng;Yunghsiang S. Han;Pramod K. Varshney.
computer and communications security (2003)

1656 Citations

A key management scheme for wireless sensor networks using deployment knowledge

Wenliang Du;Jing Deng;Y.S. Han;Shigang Chen.
international conference on computer communications (2004)

1328 Citations

Distributed detection with multiple sensors Part I. Fundamentals

R. Viswanathan;P.K. Varshney.
Proceedings of the IEEE (1997)

1272 Citations

Data-aggregation techniques in sensor networks: a survey

Ramesh Rajagopalan;Pramod K. Varshney.
IEEE Communications Surveys and Tutorials (2006)

1082 Citations

Optimal Data Fusion in Multiple Sensor Detection Systems

P.K. Varshney.
IEEE Transactions on Aerospace and Electronic Systems (1986)

987 Citations

QoS support in wireless sensor networks: A survey

Dazhi Chen;Pramod K. Varshney.
international conference on wireless networks (2004)

751 Citations

An Acknowledgment-Based Approach for the Detection of Routing Misbehavior in MANETs

Kejun Liu;Jing Deng;P.K. Varshney;K. Balakrishnan.
IEEE Transactions on Mobile Computing (2007)

730 Citations

Multisensor data fusion

Pramod K. Varshney.
Electronics & Communication Engineering Journal (1997)

539 Citations

Best Scientists Citing Pramod K. Varshney

Rick S. Blum

Rick S. Blum

Lehigh University

Publications: 77

Peter Willett

Peter Willett

University of Connecticut

Publications: 54

Sinan Gezici

Sinan Gezici

Bilkent University

Publications: 50

Guoliang Xing

Guoliang Xing

Chinese University of Hong Kong

Publications: 42

Nageswara S. V. Rao

Nageswara S. V. Rao

Oak Ridge National Laboratory

Publications: 39

Biao Chen

Biao Chen

Syracuse University

Publications: 33

Geert Leus

Geert Leus

Delft University of Technology

Publications: 33

Steven L. Brunton

Steven L. Brunton

University of Washington

Publications: 31

Domenico Ciuonzo

Domenico Ciuonzo

University of Naples Federico II

Publications: 31

Sencun Zhu

Sencun Zhu

Pennsylvania State University

Publications: 29

Bradley E. Marshall

Bradley E. Marshall

Amazon (United States)

Publications: 28

Moe Z. Win

Moe Z. Win

MIT

Publications: 28

Gianluigi Ferrari

Gianluigi Ferrari

University of Parma

Publications: 27

Peng Ning

Peng Ning

Google (United States)

Publications: 27

J. Nathan Kutz

J. Nathan Kutz

University of Washington

Publications: 27

Sajal K. Das

Sajal K. Das

Missouri University of Science and Technology

Publications: 26

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.