Rinaldo J. Lima

758 citations
45 papers · 596 · h-index 10

Impact in

    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Natural Language Processing Techniques
    • Text and Document Classification Technologies
    • Semantic Web and Ontologies

Papers in

Rinaldo J. Lima

42 papers receiving 555 citations

Peers

Rinaldo J. Lima
Comparison fields: 5 of 70
  • Artificial Intelligence 509
  • Occupational Therapy 17
  • Information Systems 96
  • Management Science and Operations Research 32
  • Human Factors and Ergonomics 6
Replace Jonathan Juncal-Martínez with:
Jonathan Juncal-Martínez Spain
Milagros Fernández‐Gavilanes Spain
Antti Puurula New Zealand
Jaumin Ajdari North Macedonia
Rotem Dror Israel
David Kensche Germany
Maxime Peyrard Switzerland
Denis Maurel France
Parth Gupta Spain
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Citations per field
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Citations per year

Countries citing papers authored by Rinaldo J. Lima

Since Specialization
Citations

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

Fields of papers citing papers by Rinaldo J. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rinaldo J. Lima. 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 Rinaldo J. Lima. The network helps show where Rinaldo J. Lima may publish in the future.

Co-authors

The 20 scholars most cited alongside Rinaldo J. Lima, 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 Rinaldo J. Lima Line = papers co-authored together Rinaldo J. Lima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013260
2 201652
3 201444
4 201330
5 201820
6 201520
7 201912
8 201711
9 201811
10 201410
11 20189
12 20178
13 20138
14 20127
15 20207
16 20167
17 20136
18 20126
19 20156
20 20145

About Rinaldo J. Lima

Rinaldo J. Lima is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Human Factors and Ergonomics and Signal Processing, having authored 45 papers that have together received 596 indexed citations. Recurring topics across this work include Topic Modeling (28 papers), Natural Language Processing Techniques (26 papers), Advanced Text Analysis Techniques (15 papers), Semantic Web and Ontologies (13 papers), Web Data Mining and Analysis (6 papers), Biomedical Text Mining and Ontologies (3 papers), Data Management and Algorithms (3 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Artificial Intelligence (509 citations), Occupational Therapy (17 citations), Information Systems (96 citations), Management Science and Operations Research (32 citations) and Human Factors and Ergonomics (6 citations). Rinaldo J. Lima has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Rafael Dueire Lins, Fred Freitas, Steven J. Simske, Luciano Cabral, Rafael Ferreira, George D. C. Cavalcanti, Rafael Fernandes de Abreu e Lima Ferreira, Bernard Espinasse, Frederico Freitas and Evandro De Barros Costa. Their work appears in journals such as Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Computer Speech & Language, Talanta and Knowledge and Information Systems.

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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