Tim Niblett

4.2k total citations · 2 hit papers
15 papers, 2.7k citations indexed

About

Tim Niblett is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Tim Niblett has authored 15 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Computational Theory and Mathematics. Recurrent topics in Tim Niblett's work include Data Mining Algorithms and Applications (5 papers), Anatomy and Medical Technology (3 papers) and Semantic Web and Ontologies (3 papers). Tim Niblett is often cited by papers focused on Data Mining Algorithms and Applications (5 papers), Anatomy and Medical Technology (3 papers) and Semantic Web and Ontologies (3 papers). Tim Niblett collaborates with scholars based in United Kingdom, Hungary and United States. Tim Niblett's co-authors include Peter Clark, Wray Buntine, Ivan Bratko, K.F. Moos, D. Walter Wray, Ashraf Ayoub, Paul Siebert, Sean McKee, P. I. Payne and A.G. Flook and has published in prestigious journals such as Machine Learning, Knowledge-Based Systems and Electrophoresis.

In The Last Decade

Tim Niblett

15 papers receiving 2.4k citations

Hit Papers

The CN2 Induction Algorithm 1989 2026 2001 2013 1989 1989 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim Niblett United Kingdom 11 1.8k 1.2k 706 220 217 15 2.7k
Geoffrey G. Towell United States 17 2.0k 1.1× 375 0.3× 444 0.6× 203 0.9× 161 0.7× 22 2.5k
Honghua Dai Australia 21 659 0.4× 844 0.7× 83 0.1× 508 2.3× 282 1.3× 63 1.9k
Floriana Esposito Italy 20 1.0k 0.6× 455 0.4× 246 0.3× 293 1.3× 219 1.0× 176 1.7k
Jin Song Dong Singapore 24 1.1k 0.6× 888 0.8× 455 0.6× 290 1.3× 272 1.3× 216 2.9k
Rafael Alcalá Spain 25 2.3k 1.2× 396 0.3× 515 0.7× 153 0.7× 95 0.4× 71 2.9k
Ahamad Tajudin Khader Malaysia 25 1.7k 0.9× 334 0.3× 544 0.8× 484 2.2× 153 0.7× 66 3.0k
Una-May O’Reilly United States 26 1.6k 0.9× 382 0.3× 436 0.6× 226 1.0× 200 0.9× 147 3.0k
Heitor Silvério Lopes Brazil 21 1.6k 0.9× 374 0.3× 361 0.5× 405 1.8× 109 0.5× 148 2.5k
Kalyan Veeramachaneni United States 21 1.3k 0.7× 363 0.3× 329 0.5× 365 1.7× 286 1.3× 82 2.5k
Ala’ M. Al-Zoubi Jordan 23 2.0k 1.1× 459 0.4× 447 0.6× 417 1.9× 256 1.2× 51 3.0k

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-authorship network of co-authors of Tim Niblett

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Niblett. A scholar is included among the top collaborators of Tim Niblett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tim Niblett. Tim Niblett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Niblett, Tim, et al.. (2000). Facial reconstruction using 3-D computer graphics. Forensic Science International. 108(2). 81–95. 91 indexed citations
2.
Ayoub, Ashraf, et al.. (1998). A vision-based three-dimensional capture system for maxillofacial assessment and surgical planning. British Journal of Oral and Maxillofacial Surgery. 36(5). 353–357. 85 indexed citations
3.
Ayoub, Ashraf, et al.. (1996). Three-dimensional modeling for modern diagnosis and planning in maxillofacial surgery.. PubMed. 11(3). 225–33. 68 indexed citations
4.
Ayoub, Ashraf, et al.. (1995). 3D imaging system for clinical applications. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations
5.
Buntine, Wray & Tim Niblett. (1992). A Further Comparison of Splitting Rules for Decision-Tree Induction. Machine Learning. 8(1). 75–85. 131 indexed citations
6.
Buntine, Wray & Tim Niblett. (1992). A further comparison of splitting rules for decision-tree induction. Machine Learning. 8(1). 75–85. 104 indexed citations
7.
Clark, Peter & Tim Niblett. (1989). The CN2 Induction Algorithm. Machine Learning. 3(4). 261–283. 1229 indexed citations breakdown →
8.
Clark, Peter & Tim Niblett. (1989). The CN2 induction algorithm. Machine Learning. 3(4). 261–283. 712 indexed citations breakdown →
9.
Niblett, Tim. (1988). Yapes: Yet another prolog expert system. 167–192. 1 indexed citations
10.
Rowlands, D.G., et al.. (1988). GESA – a two‐dimensional processing system using knowledge base techniques. Electrophoresis. 9(12). 820–830. 12 indexed citations
11.
Niblett, Tim. (1988). A Study of Generalisation in Logic Programs.. 131–138. 7 indexed citations
12.
Niblett, Tim, et al.. (1988). Semi-automatic analysis of two-dimensional electrophoretic gels. Knowledge-Based Systems. 1(5). 292–300. 1 indexed citations
13.
Clark, Peter & Tim Niblett. (1987). Induction in noisy domains. 11–30. 61 indexed citations
14.
Niblett, Tim & Ivan Bratko. (1987). Learning decision rules in noisy domains. 25–34. 112 indexed citations
15.
Niblett, Tim. (1987). Constructing Decision Trees in Noisy Domains.. 67–78. 74 indexed citations

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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