The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Hugh Svendsen sits on this spectrum.
This scientist: 108 publications — 11th percentile
11% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Hugh Svendsen sits on this spectrum.
This scientist: 40 D-Index — 37th percentile
37% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Hugh Svendsen focuses on World Wide Web, Multimedia, Service, Metadata and Presentation. World Wide Web connects with themes related to Order in his study. His Multimedia research is multidisciplinary, relying on both Aggregate, Process and User device.
His research integrates issues of Node and Information retrieval in his study of Metadata. His work deals with themes such as Data element, Database catalog, Meta Data Services, Database and Client, which intersect with Information retrieval. His Presentation study integrates concerns from other disciplines, such as Download and Electronic media.
His primary areas of study are World Wide Web, Multimedia, Information retrieval, Service and Identifier. Hugh Svendsen combines subjects such as Aggregate and Service with his study of World Wide Web. His work deals with themes such as Graphical user interface, User device and User profile, which intersect with Multimedia.
His work in the fields of Recommender system overlaps with other areas such as Geography. His study in Identifier is interdisciplinary in nature, drawing from both Annotation, Order, Executable and Login. His work in Metadata tackles topics such as Database which are related to areas like Upload.
Multimedia, World Wide Web, Information retrieval, Similarity and Service are his primary areas of study. He interconnects Process, User device and Database in the investigation of issues within Multimedia. His World Wide Web study frequently draws connections between adjacent fields such as Aggregate.
His study in the fields of Recommender system under the domain of Information retrieval overlaps with other disciplines such as Preference, Value and Set. In Service, he works on issues like User profile, which are connected to User agent. His Electronic media research incorporates themes from Wireless and Social media.
Hugh Svendsen;John Forese;Christopher M. Amidon;Kunal Kandekar
Hugh Svendsen
Hugh Svendsen;Robert Paul Morris
Kunal Kandekar;Scott Curtis;Hugh Svendsen
Kunal Kandekar Kandekar;Hugh Svendsen;Eugene Matthew Farrelly
Scott Curtis;Hugh Svendsen;Michael W. Helpingstine;Christopher M. Amidon
Hugh Svendsen
Hugh Svendsen
Eric C. Anderson;Hugh Blake Svendsen
Hugh B. Svendsen;Rick Thompson
Ravi Reddy Katpelly;Richard J. Walsh;Hugh Svendsen;Scott Curtis
Hugh Svendsen;Eugene Matthew Farrelly
Patricia Scardino;Robert Paul Morris;Hugh Blake Svendsen
Hugh Svendsen;Harold Sutherland;Gary W. Black
Hugh B. Svendsen;Michael Erickson
Hugh Svendsen;Michael T. Hoffman
Robert Paul Morris;Hugh Svendsen;Patricia Scardino
Hugh Svendsen;Patricia Scardino
Hugh Svendsen
Robert Paul Morris;Hugh Svendsen;Patricia Scardino
Hugh B. Svendsen;Al Issa
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