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 32 Citations 5,161 183 World Ranking 7551 National Ranking 219

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • The Internet
  • Artificial intelligence

His primary areas of investigation include Data mining, Artificial intelligence, Identification, Computer security and Wearable computer. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition. His study on Identification also encompasses disciplines like

  • Biometrics which is related to area like Authentication and Keystroke logging,
  • Anomaly detection most often made with reference to Cluster analysis.

His work on Encryption, Data security and Information privacy as part of general Computer security study is frequently linked to Digital watermarking, therefore connecting diverse disciplines of science. His research on Encryption also deals with topics like

  • Service, which have a strong connection to Server, Distributed computing, Recommender system and Purchasing,
  • Wavelet transform which connect with Real-time computing. The study incorporates disciplines such as Context management, Middleware, Feature vector and Big data in addition to Wearable computer.

His most cited work include:

  • A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis (537 citations)
  • Wavelet-Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Systems (124 citations)
  • CoCaMAAL: A cloud-oriented context-aware middleware in ambient assisted living (114 citations)

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

His scientific interests lie mostly in Computer network, Computer security, Data mining, Artificial intelligence and Distributed computing. His study looks at the intersection of Computer network and topics like The Internet with XML, SOAP, Web service and Private network. In general Computer security, his work in Encryption, Information privacy, Authentication and Anonymity is often linked to Service provider linking many areas of study.

He has included themes like Hidden Markov model and Cluster analysis in his Data mining study. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Computer vision and Pattern recognition. The various areas that Ibrahim Khalil examines in his Distributed computing study include Overlay network, Scalability and Service.

He most often published in these fields:

  • Computer network (29.90%)
  • Computer security (20.62%)
  • Data mining (22.16%)

What were the highlights of his more recent work (between 2018-2021)?

  • Computer security (20.62%)
  • Computer network (29.90%)
  • Authentication (8.76%)

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

His primary scientific interests are in Computer security, Computer network, Authentication, Blockchain and Scalability. His studies in Computer network integrate themes in fields like Enhanced Data Rates for GSM Evolution and Vehicular ad hoc network. His Scalability study combines topics in areas such as Network performance, Node and Big data.

His Big data study deals with the bigger picture of Data mining. His Service research is multidisciplinary, incorporating perspectives in Distributed computing, Differential privacy and Artificial intelligence. His research in Distributed computing intersects with topics in Homomorphic encryption and Server.

Between 2018 and 2021, his most popular works were:

  • Local Differential Privacy for Deep Learning (27 citations)
  • Efficient privacy preservation of big data for accurate data mining (26 citations)
  • An Integrated Framework for Privacy-Preserving Based Anomaly Detection for Cyber-Physical Systems (22 citations)

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

  • Computer network
  • The Internet
  • Artificial intelligence

Ibrahim Khalil mostly deals with Data mining, Scalability, Big data, Distributed computing and Differential privacy. He interconnects Security analysis, Lossless compression and Information privacy in the investigation of issues within Data mining. Ibrahim Khalil combines subjects such as Kalman filter, Statistical classification, Mixture model and Data classification with his study of Information privacy.

His work deals with themes such as Cryptosystem, Algorithm, Analytics and Data stream mining, which intersect with Scalability. His work carried out in the field of Big data brings together such families of science as Homomorphic encryption and Encryption. The concepts of his Distributed computing study are interwoven with issues in Feature, Deep learning, Convolutional neural network, Artificial intelligence and Service.

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 Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis

Adil Fahad;Najlaa Alshatri;Zahir Tari;Abdullah Alamri.
IEEE Transactions on Emerging Topics in Computing (2014)

724 Citations

Wavelet-Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Systems

Ayman Ibaida;Ibrahim Khalil.
IEEE Transactions on Biomedical Engineering (2013)

177 Citations

CoCaMAAL: A cloud-oriented context-aware middleware in ambient assisted living

Abdur Forkan;Abdur Forkan;Ibrahim Khalil;Ibrahim Khalil;Zahir Tari.
grid computing (2014)

174 Citations

A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living

Abdur Rahim Mohammad Forkan;Ibrahim Khalil;Zahir Tari;Sebti Foufou.
Pattern Recognition (2015)

170 Citations

Diagnosis of Cardiovascular Abnormalities From Compressed ECG: A Data Mining-Based Approach

F Sufi;I Khalil.
international conference of the ieee engineering in medicine and biology society (2011)

128 Citations

An unsupervised anomaly-based detection approach for integrity attacks on SCADA systems

Abdulmohsen Almalawi;Abdulmohsen Almalawi;Xinghuo Yu;Zahir Tari;Adil Fahad;Adil Fahad.
Computers & Security (2014)

108 Citations

Novel methods of faster cardiovascular diagnosis in wireless telecardiology

F. Sufi;Qiang Fang;I. Khalil;S.S. Mahmoud.
IEEE Journal on Selected Areas in Communications (2009)

105 Citations

BDCaM: Big Data for Context-Aware Monitoring—A Personalized Knowledge Discovery Framework for Assisted Healthcare

Abdur Rahim Mohammad Forkan;Ibrahim Khalil;Ayman Ibaida;Zahir Tari.
IEEE Transactions on Cloud Computing (2017)

104 Citations

Toward an efficient and scalable feature selection approach for internet traffic classification

Adil Fahad;Zahir Tari;Ibrahim Khalil;Ibrahim Habib.
Computer Networks (2013)

95 Citations

Virtual Private Network Architecture

T. Braun;M. Günter;M. Kasumi;I. Khalil.
(1999)

86 Citations

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