H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 39 Citations 7,719 573 World Ranking 4758 National Ranking 1

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

Adel M. Alimi spends much of his time researching Artificial intelligence, Pattern recognition, Handwriting recognition, Artificial neural network and Feature extraction. The concepts of his Artificial intelligence study are interwoven with issues in Speech recognition and Natural language processing. His research integrates issues of Fitness proportionate selection, Fitness function and Feature in his study of Pattern recognition.

The Handwriting recognition study combines topics in areas such as Field, Handwriting, Line, Arabic handwriting recognition and Pattern recognition. His Artificial neural network research is multidisciplinary, relying on both Basis function, Algorithm, Exponential stability and Control theory. The various areas that Adel M. Alimi examines in his Feature extraction study include Segmentation, Fractal, Selection and Feature vector.

His most cited work include:

  • Speed/accuracy trade-offs in target-directed movements. (473 citations)
  • The Affective Tutoring System (112 citations)
  • Modelling velocity profiles of rapid movements: a comparative study (110 citations)

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

Adel M. Alimi mainly focuses on Artificial intelligence, Pattern recognition, Fuzzy logic, Artificial neural network and Computer vision. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning, Speech recognition and Natural language processing. His study in Biometrics extends to Pattern recognition with its themes.

Much of his study explores Artificial neural network relationship to Basis function. His study looks at the relationship between Fuzzy classification and topics such as Fuzzy set operations, which overlap with Defuzzification. Adel M. Alimi regularly links together related areas like Handwriting in his Handwriting recognition studies.

He most often published in these fields:

  • Artificial intelligence (53.93%)
  • Pattern recognition (20.08%)
  • Fuzzy logic (13.20%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (53.93%)
  • Pattern recognition (20.08%)
  • Artificial neural network (12.64%)

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

Artificial intelligence, Pattern recognition, Artificial neural network, Fuzzy logic and Deep learning are his primary areas of study. His biological study spans a wide range of topics, including Machine learning and Computer vision. Adel M. Alimi focuses mostly in the field of Pattern recognition, narrowing it down to topics relating to Biometrics and, in certain cases, Scale-invariant feature transform and Identification.

Data mining is closely connected to Cluster analysis in his research, which is encompassed under the umbrella topic of Fuzzy logic. His Deep learning research includes elements of Field and Pattern recognition. His work deals with themes such as Handwriting recognition, Speech recognition, Scripting language and Natural language processing, which intersect with Handwriting.

Between 2015 and 2021, his most popular works were:

  • PSO-based analysis of Echo State Network parameters for time series forecasting (90 citations)
  • Finite-time and fixed-time synchronization of a class of inertial neural networks with multi-proportional delays and its application to secure communication (50 citations)
  • Deep Learning System for Automatic License Plate Detection and Recognition (42 citations)

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

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

Adel M. Alimi mostly deals with Artificial intelligence, Pattern recognition, Artificial neural network, Feature extraction and Computer vision. His Artificial intelligence study frequently involves adjacent topics like Machine learning. The various areas that he examines in his Pattern recognition study include Pixel, Feature and Biometrics.

His Artificial neural network research is multidisciplinary, incorporating elements of Segmentation, Transport engineering, Traffic congestion and Control theory. His Feature extraction study combines topics from a wide range of disciplines, such as Image processing, Recurrent neural network, Echo state network and Feature vector. His Computer vision research incorporates themes from Activity recognition and Representation.

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.

Top Publications

Speed/accuracy trade-offs in target-directed movements.

Réjean Plamondon;Adel M. Alimi.
Behavioral and Brain Sciences (1997)

702 Citations

Modelling velocity profiles of rapid movements: a comparative study

Réjean Plamondon;Adel M. Alimi;Pierre Yergeau;Franck Leclerc.
Biological Cybernetics (1993)

178 Citations

The Affective Tutoring System

Mohamed Ben Ammar;Mahmoud Neji;Adel. M. Alimi;Guy Gouardères.
Expert Systems With Applications (2010)

177 Citations

A New Arabic Printed Text Image Database and Evaluation Protocols

Fouad Slimane;Rolf Ingold;Slim Kanoun;Adel M. Alimi.
international conference on document analysis and recognition (2009)

150 Citations

On-line handwritten digit recognition based on trajectory and velocity modeling

Monji Kherallah;Lobna Haddad;Adel M. Alimi;Amar Mitiche.
Pattern Recognition Letters (2008)

138 Citations

Multi-objective Feature Selection with NSGA II

Tarek M. Hamdani;Jin-Myung Won;Adel M. Alimi;Fakhri Karray.
international conference on adaptive and natural computing algorithms (2007)

133 Citations

Online Arabic handwriting recognition: a survey

Najiba Tagougui;Monji Kherallah;Adel M. Alimi.
International Journal on Document Analysis and Recognition (2013)

125 Citations

On-line Arabic handwriting recognition system based on visual encoding and genetic algorithm

M. Kherallah;F. Bouri;A. M. Alimi.
Engineering Applications of Artificial Intelligence (2009)

109 Citations

PSO-based analysis of Echo State Network parameters for time series forecasting

Naima Chouikhi;Boudour Ammar;Nizar Rokbani;Adel M. Alimi.
soft computing (2017)

109 Citations

An evolutionary neuro-fuzzy approach to recognize on-line Arabic handwriting

A.M. Alimi.
international conference on document analysis and recognition (1997)

105 Citations

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

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