Àngela Nebot

2.1k citations
83 papers · 1.2k indexed · h-index 16

Impact in

Papers in

Àngela Nebot

79 papers receiving 1.1k citations

Peers

Àngela Nebot
Comparison fields: 5 of 136
  • Artificial Intelligence 473
  • Computer Vision and Pattern Recognition 212
  • Computer Science Applications 55
  • Management Science and Operations Research 103
  • Signal Processing 76
Replace Michael G. Madden with:
Michael G. Madden Ireland
Suat Özdemır Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Àngela Nebot

Since Specialization
Citations

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

Fields of papers citing papers by Àngela Nebot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20231
5 20231
6 20173
7 20151
8
Visualizing pay-per-view television customers churn using cartograms and flow maps.
20132
9
Quantitative and qualitative approaches for stock movement prediction.
20121
10 20081
11
Extraction of logical rules to describe students' learning behavior
20076
12 20071
13
Learning what is important: feature selection and rule extraction in a virtual course
200620
14
Identification of fuzzy models to predict students performance in an e-learning environment
200615
15 20053
16 20051
17 2003420
18 199825
19
Assessment Of Classical Search Techniques For Identification Of Fuzzy Models
19971
20 199616

About Àngela Nebot

Àngela Nebot is a scholar working on Computer Science Applications, Neuropsychology and Physiological Psychology, Artificial Intelligence, Tourism, Leisure and Hospitality Management and Management Science and Operations Research, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (21 papers), Neural Networks and Applications (14 papers), Online Learning and Analytics (9 papers), AI-based Problem Solving and Planning (8 papers), Energy Load and Power Forecasting (7 papers), Fault Detection and Control Systems (7 papers), Air Quality Monitoring and Forecasting (7 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). The work is most often cited by research in Artificial Intelligence (473 citations), Computer Vision and Pattern Recognition (212 citations), Computer Science Applications (55 citations), Management Science and Operations Research (103 citations) and Signal Processing (76 citations). Àngela Nebot has collaborated with scholars based in Spain, Mexico and United States. Frequent co-authors include Lluís Belanche, Luis Carlos Molina, Francisco Mugica, François E. Cellier, Sergio Jurado, Narcís Avellana, Alfredo Vellido, Félix Castro, Violeta Múgica-Álvarez and Montserrat Vallverdú. Their work appears in journals such as International Journal of General Systems, Applied Sciences, Pattern Recognition Letters, Applied Soft Computing and International Journal of Approximate Reasoning.

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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