Thiago Salles

763 total citations
31 papers, 512 citations indexed

About

Thiago Salles is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thiago Salles has authored 31 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 11 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thiago Salles's work include Text and Document Classification Technologies (19 papers), Machine Learning and Data Classification (8 papers) and Spam and Phishing Detection (7 papers). Thiago Salles is often cited by papers focused on Text and Document Classification Technologies (19 papers), Machine Learning and Data Classification (8 papers) and Spam and Phishing Detection (7 papers). Thiago Salles collaborates with scholars based in Brazil and United States. Thiago Salles's 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 Vítor Mangaravite and has published in prestigious journals such as Information Sciences, Neurocomputing and Information Processing & Management.

In The Last Decade

Thiago Salles

28 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thiago Salles Brazil	12	338	136	65	65	46	31	512
Bhuwan Dhingra United States	10	689 2.0×	69 0.5×	117 1.8×	33 0.5×	14 0.3×	32	874
Jiayu Tang China	13	209 0.6×	98 0.7×	120 1.8×	121 1.9×	25 0.5×	36	543
Rajiv Khanna United States	8	343 1.0×	76 0.6×	90 1.4×	15 0.2×	8 0.2×	17	485
Ziqi Liu China	7	264 0.8×	132 1.0×	87 1.3×	24 0.4×	9 0.2×	26	354
Huawei Shen China	14	337 1.0×	149 1.1×	63 1.0×	9 0.1×	9 0.2×	44	526
Mehdi Naseriparsa Australia	8	266 0.8×	76 0.6×	39 0.6×	21 0.3×	5 0.1×	13	413
Vikram Pudi India	13	368 1.1×	268 2.0×	102 1.6×	21 0.3×	5 0.1×	54	587
Renqian Luo China	7	408 1.2×	59 0.4×	58 0.9×	53 0.8×	32 0.7×	10	799
Jianglei Han Singapore	5	687 2.0×	145 1.1×	71 1.1×	10 0.2×	10 0.2×	7	854

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-authorship network of co-authors of Thiago Salles

This figure shows the co-authorship network connecting the top 25 collaborators of Thiago Salles. A scholar is included among the top collaborators of Thiago Salles 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 Thiago Salles. Thiago Salles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Salles, Thiago, et al.. (2025). Optimizing Tail-Head Trade-off for Extreme Multi-Label Text Classification (XMTC) with RAG-Labels and a Dynamic Two-Stage Retrieval and Fusion Pipeline. 1392–1401.

Salles, Thiago, Leonardo Rocha, & Marcos André Gonçalves. (2020). A bias-variance analysis of state-of-the-art random forest text classifiers. Advances in Data Analysis and Classification. 15(2). 379–405. 9 indexed citations

Salles, Thiago, et al.. (2018). Improving random forests by neighborhood projection for effective text classification. Information Systems. 77. 1–21. 41 indexed citations

Mourão, Fernando, Leonardo Rocha, Felipe Viegas, et al.. (2018). NetClass: A network-based relational model for document classification. Information Sciences. 469. 60–78. 1 indexed citations

Viegas, Felipe, et al.. (2017). A Genetic Programming approach for feature selection in highly dimensional skewed data. Neurocomputing. 273. 554–569. 66 indexed citations

Salles, Thiago, Leonardo Rocha, Fernando Mourão, et al.. (2017). A Two-Stage Machine learning approach for temporally-robust text classification. Information Systems. 69. 40–58. 7 indexed citations

Salles, Thiago, et al.. (2015). BROOF. 353–362. 14 indexed citations

Almeida, Jurandy, et al.. (2012). UNICAMP-UFMG at MediaEval 2012: Genre Tagging Task. MediaEval. 2 indexed citations

Gonçalves, Marcos André, et al.. (2012). Time-Aware Ranking in Sport Social Networks. Journal of Information and Data Management. 3(3). 195–210. 5 indexed citations

10.

Rocha, Leonardo, et al.. (2012). Temporal contexts: Effective text classification in evolving document collections. Information Systems. 38(3). 388–409. 7 indexed citations

11.

Viegas, Felipe, et al.. (2012). Aggressive and effective feature selection using genetic programming. Zenodo (CERN European Organization for Nuclear Research). 1–8. 16 indexed citations

12.

Rocha, Leonardo, et al.. (2011). Word co-occurrence features for text classification. Information Systems. 36(5). 843–858. 76 indexed citations

13.

Laender, Alberto H. F., Mirella M. Moro, Clodoveu A. Davis, et al.. (2011). Ciência Brasil - the brazilian portal of science and technology. 1 indexed citations

14.

Palotti, João, Thiago Salles, Gisele L. Pappa, Marcos André Gonçalves, & Wagner Meira. (2011). Assessing documents' credibility with genetic programming. 2. 200–207.

15.

Salles, Thiago, et al.. (2011). Tackling Temporal Effects in Automatic Document Classification. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 2(3). 417–432. 1 indexed citations

16.

Salles, Thiago, Leonardo Rocha, Fernando Mourão, et al.. (2010). Automatic Document Classification Temporally Robust. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 1(2). 199–212. 9 indexed citations

17.

Rocha, Leonardo, et al.. (2010). Partial discharge signal denoising with spatially adaptive wavelet thresholding and support vector machines. Electric Power Systems Research. 81(2). 644–659. 57 indexed citations

18.

Palotti, João, et al.. (2010). Estimating the Credibility of Examples in Automatic Document Classification. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 1(3). 439–454. 3 indexed citations

19.

Salles, Thiago, Leonardo Rocha, Gisele L. Pappa, et al.. (2010). Temporally-aware algorithms for document classification. 307–314. 27 indexed citations

20.

Salles, Thiago, Leonardo Rocha, Gisele L. Pappa, et al.. (2009). Classificação Automática de Documentos Robusta Temporalmente.. 106–119. 1 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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