David Nettleton

1.7k citations
38 papers · 647 · h-index 11

Impact in

    • Machine Learning and Data Classification
    • Imbalanced Data Classification Techniques
    • Machine Learning and Algorithms
    • Anomaly Detection Techniques and Applications
    • Spectroscopy and Chemometric Analyses

Papers in

David Nettleton

37 papers receiving 616 citations

Peers

David Nettleton
Comparison fields: 5 of 119
  • Artificial Intelligence 267
  • Analytical Chemistry 46
  • Computer Vision and Pattern Recognition 95
  • Signal Processing 45
  • Statistical and Nonlinear Physics 51
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Christopher Ifeanyi Eke Nigeria
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Citations per field
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Citations per year

Countries citing papers authored by David Nettleton

Since Specialization
Citations

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

Fields of papers citing papers by David Nettleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Nettleton, 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 David Nettleton Line = papers co-authored together David Nettleton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010278
2 201374
3
Commercial Data Mining: Processing, Analysis and Modeling for Predictive Analytics Projects
201446
4 201944
5 202143
6 200121
7 202320
8 200117
9 201615
10 201615
11 202210
12 20235
13 19995
14 20215
15 20084
16 20144
17 20124
18
QUESTIONNAIRE SCREENING OF SLEEP APNEA CASES USING FUZZY KNOWLEDGE REPRESENTATION AND INTELLIGENT AGGREGATION TECHNIQUES
19994
19
Analysis of the user queries of an e-commerce bookstore in terms of the Library of Congress classification and key publishers
20133
20 20233

About David Nettleton

David Nettleton is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Sociology and Political Science and Management Science and Operations Research, having authored 38 papers that have together received 647 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Multi-Criteria Decision Making (4 papers), Privacy-Preserving Technologies in Data (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Web Data Mining and Analysis (4 papers), Data Management and Algorithms (3 papers), Opinion Dynamics and Social Influence (3 papers) and Recommender Systems and Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (267 citations), Analytical Chemistry (46 citations), Computer Vision and Pattern Recognition (95 citations), Signal Processing (45 citations) and Statistical and Nonlinear Physics (51 citations). David Nettleton has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Albert Orriols-Puig, Albert Fornells, Vicenç Torra, Dimitrios Katsantonis, Roberto Confalonieri, Natasa Sarafijanovic-Djukic, Laura Rodríguez-Turienzo, C. Araujo-Andrade, Martin Schlummer and Elodie Bugnicourt. Their work appears in journals such as International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Expert Systems with Applications, Sensors, International Journal of Intelligent Systems and BMC Bioinformatics.

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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