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 30 Citations 3,313 141 World Ranking 8366 National Ranking 150

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Facial recognition system, Facial expression and Face. His research investigates the connection with Artificial intelligence and areas like Computer vision which intersect with concerns in Pattern matching. In the subject of general Pattern recognition, his work in Feature extraction is often linked to Video modeling, thereby combining diverse domains of study.

The Three-dimensional face recognition research he does as part of his general Facial recognition system study is frequently linked to other disciplines of science, such as Benchmarking, therefore creating a link between diverse domains of science. His study looks at the relationship between Facial expression and topics such as Speech recognition, which overlap with Classifier and Naive Bayes classifier. His Face research is multidisciplinary, incorporating perspectives in Ensemble learning and Linear discriminant analysis.

His most cited work include:

  • Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. (172 citations)
  • Are you really smiling at me? spontaneous versus posed enjoyment smiles (136 citations)
  • A selective attention-based method for visual pattern recognition with application to handwritten digit recognition and face recognition (115 citations)

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

Albert Ali Salah focuses on Artificial intelligence, Computer vision, Pattern recognition, Facial recognition system and Face. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Speech recognition. His Computer vision study is mostly concerned with Gaze, Face hallucination, Gabor filter, Object detection and Image processing.

His research in Pattern recognition intersects with topics in Feature and Test set. His Facial recognition system study combines topics from a wide range of disciplines, such as Feature, Landmark and Biometrics. Face overlaps with fields such as Expression and Dynamics in his research.

He most often published in these fields:

  • Artificial intelligence (52.36%)
  • Computer vision (24.06%)
  • Pattern recognition (19.81%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (52.36%)
  • Human–computer interaction (13.68%)
  • Multimodal analysis (1.89%)

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

His primary areas of investigation include Artificial intelligence, Human–computer interaction, Multimodal analysis, Usability and Reflection. His Artificial intelligence research includes elements of Action recognition, Machine learning and Pattern recognition. His biological study spans a wide range of topics, including Facial recognition system and Landmark.

His research integrates issues of Sensory cue, Facial expression and Focus in his study of Human–computer interaction. His work deals with themes such as CLIPS, Deep learning, Database and Medical imaging, which intersect with Feature extraction. Albert Ali Salah works mostly in the field of Database, limiting it down to topics relating to Action and, in certain cases, Mobile phone, as a part of the same area of interest.

Between 2019 and 2021, his most popular works were:

  • Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. (172 citations)
  • Mobile phone data and COVID-19: Missing an opportunity? (43 citations)
  • Modeling, recognizing, and explaining apparent personality from videos (8 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

His scientific interests lie mostly in Mobile phone, Feature extraction, Artificial intelligence, Public health and Action. Albert Ali Salah combines subjects such as Information exchange and Location intelligence with his study of Mobile phone. His Feature extraction research integrates issues from Facial recognition system and Landmark.

His Artificial intelligence investigation overlaps with Resource and Accountability. Throughout his Public health studies, Albert Ali Salah incorporates elements of other sciences such as Scale, Control, Government, Public relations and Service. His Action research is multidisciplinary, relying on both Cellular network and Database.

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

Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle.

Nuria Oliver;Bruno Lepri;Harald Sterly;Renaud Lambiotte;Renaud Lambiotte.
Science Advances (2020)

201 Citations

A selective attention-based method for visual pattern recognition with application to handwritten digit recognition and face recognition

A.A. Salah;E. Alpaydin;L. Akarun.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)

178 Citations

Video-based emotion recognition in the wild using deep transfer learning and score fusion*

Heysem Kaya;Furkan Gürpınar;Albert Ali Salah.
Image and Vision Computing (2017)

176 Citations

Are you really smiling at me? spontaneous versus posed enjoyment smiles

Hamdi Dibeklio;lu;Albert Ali Salah;Theo Gevers.
european conference on computer vision (2012)

175 Citations

Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms

N. Poh;T. Bourlai;J. Kittler;L. Allano.
IEEE Transactions on Information Forensics and Security (2009)

125 Citations

Like Father, Like Son: Facial Expression Dynamics for Kinship Verification

Hamdi Dibeklioglu;Albert Ali Salah;Theo Gevers.
international conference on computer vision (2013)

116 Citations

Rank-Based decision fusion for 3d shape-based face recognition

B. Gokberk;A.A. Salah;L. Akarun.
Lecture Notes in Computer Science (2005)

105 Citations

Recognition of Genuine Smiles

Hamdi Dibeklioglu;Albert Ali Salah;Theo Gevers.
IEEE Transactions on Multimedia (2015)

99 Citations

Combining Facial Dynamics With Appearance for Age Estimation

Hamdi Dibeklioglu;Fares Alnajar;Albert Ali Salah;Theo Gevers.
IEEE Transactions on Image Processing (2015)

99 Citations

AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition

Fabien Ringeval;Björn Schuller;Michel Valstar;Roddy Cowie.
acm multimedia (2018)

98 Citations

Best Scientists Citing Albert Ali Salah

Björn Schuller

Björn Schuller

Imperial College London

Publications: 40

Lale Akarun

Lale Akarun

Boğaziçi University

Publications: 19

Sergio Escalera

Sergio Escalera

University of Barcelona

Publications: 18

Liming Chen

Liming Chen

École Centrale de Lyon

Publications: 17

Maja Pantic

Maja Pantic

Imperial College London

Publications: 14

Nicu Sebe

Nicu Sebe

University of Trento

Publications: 14

Julian Fierrez

Julian Fierrez

Autonomous University of Madrid

Publications: 14

Tom Gedeon

Tom Gedeon

Australian National University

Publications: 12

Bulent Sankur

Bulent Sankur

Boğaziçi University

Publications: 12

Di Huang

Di Huang

Beihang University

Publications: 12

Jiwen Lu

Jiwen Lu

Tsinghua University

Publications: 11

Julien Epps

Julien Epps

UNSW Sydney

Publications: 11

Bruno Lepri

Bruno Lepri

Fondazione Bruno Kessler

Publications: 11

Elisa Ricci

Elisa Ricci

Fondazione Bruno Kessler

Publications: 10

Yunhong Wang

Yunhong Wang

Beihang University

Publications: 10

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.

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