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 12,397 100 World Ranking 8311 National Ranking 16

Research.com Recognitions

Awards & Achievements

2018 - ACM Distinguished Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Programming language

His primary areas of investigation include Data compression, Curriculum, Mathematics education, Information retrieval and Human–computer interaction. The concepts of his Data compression study are interwoven with issues in Decoding methods and Pattern recognition. His work on Computational thinking as part of his general Mathematics education study is frequently connected to Outreach and Metaverse, thereby bridging the divide between different branches of science.

His work on Search engine indexing as part of general Information retrieval study is frequently linked to Information theory and Digital library, bridging the gap between disciplines. His Search engine indexing study combines topics in areas such as Huffman coding, Information explosion, Gigabyte and Index. While the research belongs to areas of Human–computer interaction, Tim Bell spends his time largely on the problem of Feature, intersecting his research to questions surrounding Multimedia.

His most cited work include:

  • Managing Gigabytes: Compressing and Indexing Documents and Images (1640 citations)
  • Text Compression (1085 citations)
  • Managing gigabytes (2nd ed.): compressing and indexing documents and images (734 citations)

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

His main research concerns Mathematics education, Curriculum, Multimedia, Data compression and Algorithm. Tim Bell combines subjects such as Context and Field with his study of Mathematics education. His biological study spans a wide range of topics, including Range, Professional development, Engineering ethics and Subject.

His work deals with themes such as Kinesthetic learning, Human–computer interaction and Medical education, which intersect with Multimedia. His Data compression research includes themes of Information retrieval and Pattern matching. Tim Bell conducts interdisciplinary study in the fields of Information retrieval and Digital library through his works.

He most often published in these fields:

  • Mathematics education (18.93%)
  • Curriculum (17.75%)
  • Multimedia (15.38%)

What were the highlights of his more recent work (between 2013-2021)?

  • Curriculum (17.75%)
  • Mathematics education (18.93%)
  • Computational thinking (8.28%)

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

The scientist’s investigation covers issues in Curriculum, Mathematics education, Computational thinking, Engineering ethics and Context. His research on Curriculum concerns the broader Pedagogy. The Computer literacy research Tim Bell does as part of his general Mathematics education study is frequently linked to other disciplines of science, such as Outreach, therefore creating a link between diverse domains of science.

His Computational thinking research is multidisciplinary, incorporating elements of Epistemology, Constructivism, Enactivism and Cognitive science. His research in Engineering ethics intersects with topics in Curriculum theory and Digital citizenship. His Context research is multidisciplinary, incorporating perspectives in Classroom teacher, Educational research, Focus and Logical reasoning.

Between 2013 and 2021, his most popular works were:

  • Should your 8-year-old learn coding? (73 citations)
  • Computer science in K-12 school curricula of the 2lst century: Why, what and when? (71 citations)
  • A Pilot Computer Science and Programming Course for Primary School Students (51 citations)

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

  • Artificial intelligence
  • Operating system
  • Programming language

His primary areas of study are Mathematics education, Curriculum, Computational thinking, Context and Teaching method. With his scientific publications, his incorporates both Mathematics education and Outreach. His research investigates the link between Curriculum and topics such as Professional development that cross with problems in Knowledge management.

His Computational thinking research is multidisciplinary, relying on both Class, Music theory and Presentation. His work carried out in the field of Context brings together such families of science as Musical composition, Educational research, MIDI and Logical reasoning. The Teaching method study combines topics in areas such as Key, Scratch, Data science and Programming patterns.

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

Managing Gigabytes: Compressing and Indexing Documents and Images

I.H. Witten;A. Moffat;T.C. Bell.
(1999)

3843 Citations

Text compression

Timothy C. Bell;John G. Cleary;Ian H. Witten.
(1990)

2157 Citations

Managing gigabytes (2nd ed.): compressing and indexing documents and images

Ian H. Witten;Alistair Moffat;Timothy C. Bell.
(1999)

1158 Citations

The zero-frequency problem: estimating the probabilities of novel events in adaptive text compression

I.H. Witten;T.C. Bell.
IEEE Transactions on Information Theory (1991)

1018 Citations

Modeling for text compression

Timothy Bell;Ian H. Witten;John G. Cleary.
ACM Computing Surveys (1989)

441 Citations

Computer science unplugged: school students doing real computing without computers

Tim Bell;Jason Alexander;Isaac Freeman;Mick Grimley.
Journal of Applied Computing and Information Technology (2009)

350 Citations

A corpus for the evaluation of lossless compression algorithms

R. Arnold;T. Bell.
data compression conference (1997)

267 Citations

The Burrows-Wheeler Transform:: Data Compression, Suffix Arrays, and Pattern Matching

Donald Adjeroh;Timothy Bell;Amar Mukherjee.
(2008)

231 Citations

The Challenge of Optical Music Recognition

David Bainbridge;Tim Bell.
Computers and The Humanities (2001)

229 Citations

Computer science unplugged and related projects in math and computer science popularization

Tim Bell;Frances Rosamond;Nancy Casey.
The Multivariate Algorithmic Revolution and Beyond (2012)

218 Citations

Best Scientists Citing Tim Bell

Alistair Moffat

Alistair Moffat

University of Melbourne

Publications: 87

gonzalo navarro

gonzalo navarro

University of Chile

Publications: 85

Justin Zobel

Justin Zobel

University of Melbourne

Publications: 80

Ian H. Witten

Ian H. Witten

University of Waikato

Publications: 68

Hugh E Williams

Hugh E Williams

University of Melbourne

Publications: 35

Paolo Ferragina

Paolo Ferragina

University of Pisa

Publications: 34

Martin T. King

Martin T. King

Google (United States)

Publications: 30

Jeffrey Scott Vitter

Jeffrey Scott Vitter

University of Mississippi

Publications: 27

Torsten Suel

Torsten Suel

New York University

Publications: 24

Clifford A. Kushler

Clifford A. Kushler

Google (United States)

Publications: 23

Dale L. Grover

Dale L. Grover

Google (United States)

Publications: 22

Andrew Turpin

Andrew Turpin

University of Melbourne

Publications: 21

Maxime Crochemore

Maxime Crochemore

King's College London

Publications: 19

Ricardo Baeza-Yates

Ricardo Baeza-Yates

Northeastern University

Publications: 18

Nivio Ziviani

Nivio Ziviani

Universidade Federal de Minas Gerais

Publications: 18

Philip K. Chan

Philip K. Chan

Florida Institute of Technology

Publications: 18

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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