Thiago Salles

769 citations
31 papers · 516 · h-index 12

Impact in

    • Text and Document Classification Technologies
    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Machine Learning and Data Classification
    • Spam and Phishing Detection
    • Web Data Mining and Analysis

Papers in

    • Text and Document Classification Technologies 19
    • Machine Learning and Data Classification 8
    • Topic Modeling 6
    • Data Stream Mining Techniques 6
    • Advanced Text Analysis Techniques 4
    • Spam and Phishing Detection 7
    • Web Data Mining and Analysis 3

Thiago Salles

28 papers receiving 492 citations

Peers

Thiago Salles
Comparison fields: 5 of 79
  • Artificial Intelligence 334
  • Information Systems 137
  • General Social Sciences 11
  • Computer Vision and Pattern Recognition 66
  • Signal Processing 20
Replace Yi Fang with:
Yi Fang United States
Sérgio Canuto Brazil
Jianglei Han Singapore
E. K. Park United States
Zhaoyun Ding China
Yantao Jia China
Hossein Amirkhani Iran
Baoxu Shi United States
Thiago Salles relative to Yi Fang United States Yi Fang's profile →
Citations per field
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Yi Fang · 1×
Citations per year

Countries citing papers authored by Thiago Salles

Since Specialization
Citations

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

Fields of papers citing papers by Thiago Salles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201176
2 201768
3 201057
4 201849
5 201842
6 202039
7 201027
8 201719
9 201216
10 201514
11 201913
12 201413
13
Automatic Document Classification Temporally Robust
20109
14 20209
15 20189
16 20157
17 20127
18 20177
19 20187
20 20166

About Thiago Salles

Thiago Salles is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Sociology and Political Science and Information Systems and Management, having authored 31 papers that have together received 516 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (19 papers), Machine Learning and Data Classification (8 papers), Spam and Phishing Detection (7 papers), Topic Modeling (6 papers), Data Stream Mining Techniques (6 papers), Face and Expression Recognition (4 papers), Advanced Text Analysis Techniques (4 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Artificial Intelligence (334 citations), Information Systems (137 citations), General Social Sciences (11 citations), Computer Vision and Pattern Recognition (66 citations) and Signal Processing (20 citations). Thiago Salles has collaborated with scholars based in Brazil and United States. Frequent co-authors include Leonardo Rocha, Marcos André Gonçalves, Felipe Viegas, Fernando Mourão, Wagner Meira, Sérgio Canuto, Thierson Couto Rosa, Gisele L. Pappa, Christian Gomes and Washington Cunha. Their work appears in journals such as Information Systems, Neurocomputing, Information Processing & Management, Journal of the Association for Information Science and Technology and Information Sciences.

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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