Felipe Viegas

845 citations
27 papers · 543 · h-index 11

Impact in

    • Computational and Text Analysis Methods
    • Topic Modeling
    • Text and Document Classification Technologies
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Machine Learning and Data Classification
    • Imbalanced Data Classification Techniques
    • Evolutionary Algorithms and Applications

Papers in

    • Text and Document Classification Technologies 15
    • Topic Modeling 13
    • Advanced Text Analysis Techniques 10
    • Sentiment Analysis and Opinion Mining 4
    • Natural Language Processing Techniques 2
    • Spam and Phishing Detection 4

Felipe Viegas

24 papers receiving 529 citations

Peers

Felipe Viegas
Comparison fields: 5 of 118
  • General Social Sciences 35
  • Artificial Intelligence 321
  • Pharmaceutical Science 46
  • Information Systems 111
  • Health Informatics 5
Replace Shivam Agarwal with:
Shivam Agarwal India
Meena Nagarajan India
Rajesh Prasad India
Hai Wang United Kingdom
Arushi Jain India
Yilei Wang China
Irene Li United States
Jiajun Cheng China
Howard Ho United States
Felipe Viegas relative to Shivam Agarwal India Shivam Agarwal's profile →
Citations per field
00.5×5.8×
Shivam Agarwal · 1×
Citations per year

Countries citing papers authored by Felipe Viegas

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Viegas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021126
2 201766
3 202156
4 201849
5 202038
6 201934
7 202324
8 202021
9 202021
10 202318
11 201216
12 20189
13 20139
14 20218
15 20228
16 20177
17 20157
18 20187
19 20155
20 20155

About Felipe Viegas

Felipe Viegas is a scholar working on Artificial Intelligence, Information Systems, General Social Sciences, Molecular Biology and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 543 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (15 papers), Topic Modeling (13 papers), Advanced Text Analysis Techniques (10 papers), Computational and Text Analysis Methods (5 papers), Spam and Phishing Detection (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Natural Language Processing Techniques (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in General Social Sciences (35 citations), Artificial Intelligence (321 citations), Pharmaceutical Science (46 citations), Information Systems (111 citations) and Health Informatics (5 citations). Felipe Viegas has collaborated with scholars based in Brazil, Portugal and United States. Frequent co-authors include Leonardo Rocha, Marcos André Gonçalves, Thiago Salles, Thierson Couto Rosa, Sérgio Canuto, Fernando Mourão, Christian Gomes, Juliana Palma Abriata, Fabiana T. M. C. Vicentini and Maria Vitória Lopes Badra Bentley. Their work appears in journals such as Information Processing & Management, Information Systems, Neurocomputing, Computational Linguistics and Scientometrics.

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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