Tim Niblett

4.2k citations
15 papers · 2.7k · 2 hit papers · h-index 11

Impact in

    • Machine Learning and Data Classification
    • Imbalanced Data Classification Techniques
    • Neural Networks and Applications
    • Fuzzy Logic and Control Systems
    • Evolutionary Algorithms and Applications
    • Machine Learning and Algorithms
    • Data Mining Algorithms and Applications

Papers in

Tim Niblett

15 papers receiving 2.4k citations

Tim Niblett's Hit Papers

The CN2 Induction Algorithm 1989 · 1.2k citations
1.2k0+12+24Years since publication4008001.2k

Peers

Tim Niblett
Comparison fields: 5 of 143
  • Artificial Intelligence 1.8k
  • Information Systems 1.2k
  • Computational Theory and Mathematics 706
  • Orthodontics 98
  • Signal Processing 217
Replace Honghua Dai with:
Honghua Dai Australia
Sameem Abdul Kareem Malaysia
Juan Luis Castro Spain
Mohd Saberi Mohamad Malaysia
Kalyan Veeramachaneni United States
Yun Tian China
Jiajie Xu China
Sandeep Kumar India
Weiguo Sheng China
Nabendu Chaki India
Tim Niblett relative to Honghua Dai Australia Honghua Dai's profile →
Citations per field
00.5×10×15×20×24.5×
Honghua Dai · 1×
Citations per year

Countries citing papers authored by Tim Niblett

Since Specialization
Citations

This map shows the geographic impact of Tim Niblett'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 Niblett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Niblett more than expected).

Fields of papers citing papers by Tim Niblett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Niblett. 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 Niblett. The network helps show where Tim Niblett may publish in the future.

Co-authors

The 12 scholars most cited alongside Tim Niblett, 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 Niblett Line = papers co-authored together Tim Niblett links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
The CN2 Induction Algorithm
Hit paper breakdown →
19891229
2
The CN2 induction algorithm
Hit paper breakdown →
1989712
3 1992131
4
Learning decision rules in noisy domains
1987112
5 1992104
6 200091
7 199885
8
Constructing Decision Trees in Noisy Domains.
198774
9
Three-dimensional modeling for modern diagnosis and planning in maxillofacial surgery.
199668
10
Induction in noisy domains
198761
11 198812
12
A Study of Generalisation in Logic Programs.
19887
13
3D imaging system for clinical applications
19951
14
Yapes: Yet another prolog expert system
19881
15 19881

About Tim Niblett

Tim Niblett is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Surgery and Biomedical Engineering, having authored 15 papers that have together received 2.7k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (5 papers), Semantic Web and Ontologies (3 papers), Anatomy and Medical Technology (3 papers), Rough Sets and Fuzzy Logic (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Dental Radiography and Imaging (2 papers), Evolutionary Algorithms and Applications (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Information Systems (1.2k citations), Computational Theory and Mathematics (706 citations), Orthodontics (98 citations) and Signal Processing (217 citations). Tim Niblett has collaborated with scholars based in United Kingdom, Hungary and United States. Frequent co-authors include Peter Clark, Wray Buntine, Ivan Bratko, Ashraf Ayoub, K.F. Moos, Paul Siebert, D. Walter Wray, D.G. Rowlands, P. I. Payne and A.G. Flook. Their work appears in journals such as Machine Learning, Electrophoresis, Knowledge-Based Systems, British Journal of Oral and Maxillofacial Surgery and Forensic Science International.

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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