D-Index & Metrics Best Publications

Javed Khan

National Institutes of Health
United States

D-Index & Metrics 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.

Discipline name Citations Publications World Ranking National Ranking

Biology and Biochemistry D-index 72 Citations 21,968 414 World Ranking 3880 National Ranking 1974

Overview

What is he best known for?

The fields of study Javed Khan is best known for:

Eye tracking
Kalman filter
Extended Kalman filter

His study on Neuroscience is interrelated to topics such as Eye movement, Brainstem and Perception. He brings together Perception and Neuroscience to produce work in his papers. Eye tracking combines with fields such as Eye movement and Human–computer interaction in his investigation. He applies his multidisciplinary studies on Human–computer interaction and Eye tracking in his research. He integrates Kalman filter with Extended Kalman filter in his study. Javed Khan integrates many fields in his works, including Extended Kalman filter and Kalman filter. Javed Khan integrates Artificial intelligence with Computational intelligence in his research. Javed Khan conducts interdisciplinary study in the fields of Computational intelligence and Artificial intelligence through his works. Computer vision is closely attributed to Gaze in his work.

His most cited work include:

Eye movement prediction by oculomotor plant Kalman filter with brainstem control (37 citations)
Kalman Filtering in the Design of Eye-Gaze-Guided Computer Interfaces (18 citations)

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

His Archaeology study in the realm of Forensic science connects with subjects such as Engineering ethics. In his work, Javed Khan performs multidisciplinary research in Archaeology and Forensic science. Javed Khan is involved in relevant fields of research such as Eye movement, Perception, Brainstem and Encoding (memory) in the field of Neuroscience. In his articles, he combines various disciplines, including Perception and Neuroscience. Eye tracking is intertwined with Eye movement and Human–computer interaction in his research. He performs integrative study on Human–computer interaction and Eye tracking in his works. His Thermodynamics study frequently draws connections to other fields, such as Resilience (materials science) and Component (thermodynamics). Javed Khan undertakes interdisciplinary study in the fields of Component (thermodynamics) and Thermodynamics through his works. Javed Khan applies the principles of Sign (mathematics) and Scheme (mathematics) in his work under Mathematical analysis.

Javed Khan most often published in these fields:

Artificial intelligence (46.15%)
Eye movement (30.77%)
Computer vision (30.77%)

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

Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks

Javed Khan;Jun S. Wei;Markus Ringnér;Markus Ringnér;Lao H. Saal.
Nature Medicine (2001)

3370 Citations

The genetic landscape of high-risk neuroblastoma

Trevor J Pugh;Olena Morozova;Edward F Attiyeh;Edward F Attiyeh;Shahab Asgharzadeh;Shahab Asgharzadeh.
Nature Genetics (2013)

964 Citations

Expression profiling identifies the cytoskeletal organizer ezrin and the developmental homeoprotein Six-1 as key metastatic regulators

Yanlin Yu;Javed Khan;Chand Khanna;Lee Helman.
Nature Medicine (2004)

734 Citations

Gene Expression Profiling of Alveolar Rhabdomyosarcoma with cDNA Microarrays

Javed Khan;Richard Simon;Michael Bittner;Yidong Chen.
Cancer Research (1998)

618 Citations

Mutations in GATA2 are associated with the autosomal dominant and sporadic monocytopenia and mycobacterial infection (MonoMAC) syndrome

Amy P. Hsu;Elizabeth P. Sampaio;Javed Khan;Katherine R. Calvo.
Blood (2011)

585 Citations

Comprehensive genomic analysis of rhabdomyosarcoma reveals a landscape of alterations affecting a common genetic axis in fusion-positive and fusion-negative tumors

Jack F. Shern;Li Chen;Juliann Chmielecki;Jun S. Wei.
Cancer Discovery (2014)

550 Citations

The pediatric preclinical testing program: description of models and early testing results.

Peter J. Houghton;Christopher L. Morton;Chandra Tucker;Debbie Payne.
Pediatric Blood & Cancer (2007)

470 Citations

Relapsed neuroblastomas show frequent RAS-MAPK pathway mutations

Thomas F Eleveld;Derek A Oldridge;Virginie Bernard;Jan Koster.
Nature Genetics (2015)

422 Citations

cDNA Microarrays Detect Activation of a Myogenic Transcription Program by the PAX3-FKHR Fusion Oncogene

Javed Khan;Michael L. Bittner;Lao H. Saal;Ulrike Teichmann.
Proceedings of the National Academy of Sciences of the United States of America (1999)

403 Citations

International consensus for neuroblastoma molecular diagnostics: report from the International Neuroblastoma Risk Group (INRG) Biology Committee.

PF Ambros;IM Ambros;GM Brodeur;M Haber.
British Journal of Cancer (2009)

378 Citations

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