Luı́s Torgo

7.4k citations
148 papers · 5.0k · 3 hit papers · h-index 31

Impact in

Papers in

    • Imbalanced Data Classification Techniques 32
    • Machine Learning and Data Classification 20
    • Anomaly Detection Techniques and Applications 19
    • Neural Networks and Applications 12
    • Data Mining Algorithms and Applications 22

Luı́s Torgo

144 papers receiving 4.8k citations

Luı́s Torgo's Hit Papers

A Survey of Predictive Modeling on Imbalanced Domains 2016 · 817 citations
8170+5+10Years since publication250500750

Peers

Luı́s Torgo
Comparison fields: 5 of 189
  • Artificial Intelligence 2.5k
  • Management Science and Operations Research 473
  • Signal Processing 409
  • Health Information Management 130
  • Environmental Engineering 367
Replace Changhua Hu with:
Changhua Hu China
Ann E. Nicholson Australia
Claude Sammut Australia
César Hervás‐Martínez Spain
Kevin B. Korb Australia
Bernd Bischl Germany
Wen Yu Mexico
José M. Benítez Spain
Donald F. Specht United States
Yunqian Ma United States
Luı́s Torgo relative to Changhua Hu China Changhua Hu's profile →
Citations per field
00.5×2×2.8×
Changhua Hu · 1×
Citations per year

Countries citing papers authored by Luı́s Torgo

Since Specialization
Citations

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

Fields of papers citing papers by Luı́s Torgo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Survey of Predictive Modeling on Imbalanced Domains
Hit paper breakdown →
2016817
2
OpenML
Hit paper breakdown →
2014714
3
Predictive models for forecasting hourly urban water demand
Hit paper breakdown →
2010348
4 2010311
5 2020207
6 2013186
7 2010159
8 2014115
9
SMOGN: a Pre-processing Approach for Imbalanced Regression
201799
10 200681
11 202280
12 201979
13
Functional Models for Regression Tree Leaves
199776
14 199976
15 200763
16 201360
17 201858
18 200957
19 201156
20 199651

About Luı́s Torgo

Luı́s Torgo is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Management Science and Operations Research and Statistics and Probability, having authored 148 papers that have together received 5.0k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (32 papers), Time Series Analysis and Forecasting (23 papers), Data Mining Algorithms and Applications (22 papers), Machine Learning and Data Classification (20 papers), Anomaly Detection Techniques and Applications (19 papers), Forecasting Techniques and Applications (17 papers), Stock Market Forecasting Methods (16 papers) and Neural Networks and Applications (12 papers). The work is most often cited by research in Artificial Intelligence (2.5k citations), Management Science and Operations Research (473 citations), Signal Processing (409 citations), Health Information Management (130 citations) and Environmental Engineering (367 citations). Luı́s Torgo has collaborated with scholars based in Portugal, Canada and New Zealand. Frequent co-authors include Rita P. Ribeiro, Paula Branco, Bernd Bischl, Jan N. van Rijn, Joaquin Vanschoren, Vítor Cerqueira, João Gama, Manuel Herrera, Rafael Pérez-García and Joaquín Izquierdo. Their work appears in journals such as Machine Learning, Lecture notes in computer science, Neurocomputing, Cold Spring Harbor Symposia on Quantitative Biology and Aquatic Microbial Ecology.

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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