Tim Bell

122 papers receiving 3.7k citations

Tim Bell's Hit Papers

The zero-frequency problem: estimating the probabilities of novel events in adaptive text compression 1991 · 481 citations
4810+12+24Years since publication200400600

Peers

Tim Bell
Comparison fields: 5 of 119
  • Computer Science Applications 1.1k
  • Artificial Intelligence 2.1k
  • Signal Processing 598
  • Hardware and Architecture 365
  • Computer Vision and Pattern Recognition 890
Replace Henry Lieberman with:
Henry Lieberman United States
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Countries citing papers authored by Tim Bell

Since Specialization
Citations

This map shows the geographic impact of Tim Bell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tim Bell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Bell more than expected).

Fields of papers citing papers by Tim Bell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Bell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tim Bell. The network helps show where Tim Bell may publish in the future.

Co-authors

The 25 scholars most cited alongside Tim Bell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Bell Line = papers co-authored together Tim Bell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Text Compression
Hit paper breakdown →
1990666
2
Managing gigabytes (2nd ed.): compressing and indexing documents and images
1999494
3
The zero-frequency problem: estimating the probabilities of novel events in adaptive text compression
Hit paper breakdown →
1991481
4
Computer science unplugged: school students doing real computing without computers
2009263
5 2016173
6 1989154
7 1995150
8 2002118
9 2008116
10 2014104
11 200195
12 201588
13 201462
14 201047
15 201846
16 201341
17 199338
18 199435
19 200335
20 201330

About Tim Bell

Tim Bell is a scholar working on Computer Science Applications, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Developmental and Educational Psychology, having authored 125 papers that have together received 4.2k indexed citations. Recurring topics across this work include Teaching and Learning Programming (52 papers), Algorithms and Data Compression (35 papers), Educational Games and Gamification (15 papers), Experimental Learning in Engineering (12 papers), Advanced Data Compression Techniques (9 papers), Music and Audio Processing (8 papers), Music Technology and Sound Studies (7 papers) and Gender and Technology in Education (7 papers). The work is most often cited by research in Computer Science Applications (1.1k citations), Artificial Intelligence (2.1k citations), Signal Processing (598 citations), Hardware and Architecture (365 citations) and Computer Vision and Pattern Recognition (890 citations). Tim Bell has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Ian H. Witten, John G. Cleary, Alistair Moffat, Caitlin Duncan, Michael Grimley, Jason Alexander, David Bainbridge, Peter Andreae, Donald Adjeroh and Amar Mukherjee. Their work appears in journals such as Software Practice and Experience, Communications of the ACM, IEEE Transactions on Information Theory, ACM Transactions on Computing Education and Information Processing & Management.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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