H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 128 Citations 115,837 515 World Ranking 32 National Ranking 20

Research.com Recognitions

Awards & Achievements

2014 - Member of the National Academy of Engineering For contributions to computer vision and technologies for measuring human social behavior.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • The Internet

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Human–computer interaction, Wearable computer and Facial recognition system. His Artificial intelligence study frequently links to other fields, such as Pattern recognition. His Pattern recognition research is multidisciplinary, relying on both Probabilistic logic, Density estimation and Face detection.

His study focuses on the intersection of Computer vision and fields such as Algorithm with connections in the field of Finite element method and Kalman filter. His research in Human–computer interaction focuses on subjects like User interface, which are connected to Multimedia. His Wearable computer study also includes fields such as

  • Mobile computing which connect with Bluetooth,
  • Gesture recognition, which have a strong connection to Speech recognition and Machine vision.

His most cited work include:

  • Eigenfaces for recognition (12405 citations)
  • Face recognition using eigenfaces (4909 citations)
  • Pfinder: real-time tracking of the human body (4241 citations)

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

His main research concerns Artificial intelligence, Computer vision, Human–computer interaction, Social network and Wearable computer. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Pattern recognition. His study in Computer vision concentrates on Motion estimation and Image.

His Wearable computer study frequently draws connections between adjacent fields such as Multimedia.

He most often published in these fields:

  • Artificial intelligence (28.92%)
  • Computer vision (15.92%)
  • Human–computer interaction (9.23%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (28.92%)
  • Computer security (4.74%)
  • Blockchain (1.70%)

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

Alex Pentland spends much of his time researching Artificial intelligence, Computer security, Blockchain, Data science and Internet privacy. Many of his studies on Artificial intelligence apply to Machine learning as well. His work in Cryptography and Key is related to Computer security.

He has included themes like Cryptocurrency, The Internet and Interoperability in his Blockchain study. His Internet privacy research incorporates themes from Phase, Order and Data collection. His Reinforcement learning research incorporates elements of Network topology and Graph, Random graph.

Between 2017 and 2021, his most popular works were:

  • Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19. (183 citations)
  • Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. (172 citations)
  • Fair, Transparent, and Accountable Algorithmic Decision-making Processes: The Premise, the Proposed Solutions, and the Open Challenges (137 citations)

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

  • Artificial intelligence
  • Statistics
  • The Internet

His scientific interests lie mostly in Computational sociology, Computer security, Artificial intelligence, Internet privacy and Data collection. His Computational sociology research includes themes of Behavioral pattern, Cryptocurrency, Predictive power and Consumer behaviour. He combines subjects such as Bluetooth and Immediacy with his study of Computer security.

The Artificial intelligence study combines topics in areas such as Waste management and Machine learning. His research in Internet privacy tackles topics such as Order which are related to areas like Scale, Control and Scalability. Alex Pentland works mostly in the field of Data collection, limiting it down to topics relating to Unemployment and, in certain cases, Public relations, as a part of the same area of interest.

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

Eigenfaces for recognition

Matthew Turk;Alex Pentland.
Journal of Cognitive Neuroscience (1991)

19265 Citations

Face recognition using eigenfaces

M.A. Turk;A.P. Pentland.
computer vision and pattern recognition (1991)

8040 Citations

Pfinder: real-time tracking of the human body

C.R. Wren;A. Azarbayejani;T. Darrell;A.P. Pentland.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1997)

6663 Citations

Computational Social Science

David M. Lazer;Alex Pentland;Lada Adamic;Sinan Aral;Sinan Aral.
Science (2009)

3489 Citations

Reality mining: sensing complex social systems

Nathan Eagle;Alex (Sandy) Pentland.
ubiquitous computing (2006)

3219 Citations

Life in the network: the coming age of computational social science

David Lazer;Alex (Sandy) Pentland;Lada Adamic;Sinan Aral.
Science (2009)

3186 Citations

Fractal-Based Description of Natural Scenes

Alex P. Pentland.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1984)

2761 Citations

Probabilistic visual learning for object representation

B. Moghaddam;A. Pentland.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1997)

2269 Citations

Inferring friendship network structure by using mobile phone data

Nathan Eagle;Alex Sandy Pentland;David Lazer.
Proceedings of the National Academy of Sciences of the United States of America (2009)

2211 Citations

A Bayesian computer vision system for modeling human interactions

N.M. Oliver;B. Rosario;A.P. Pentland.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2000)

2060 Citations

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