Ivan Rizzo Guilherme

549 total citations
39 papers, 362 citations indexed

About

Ivan Rizzo Guilherme is a scholar working on Artificial Intelligence, Ocean Engineering and Computer Networks and Communications. According to data from OpenAlex, Ivan Rizzo Guilherme has authored 39 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Ocean Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in Ivan Rizzo Guilherme's work include Drilling and Well Engineering (10 papers), Oil and Gas Production Techniques (8 papers) and Reservoir Engineering and Simulation Methods (7 papers). Ivan Rizzo Guilherme is often cited by papers focused on Drilling and Well Engineering (10 papers), Oil and Gas Production Techniques (8 papers) and Reservoir Engineering and Simulation Methods (7 papers). Ivan Rizzo Guilherme collaborates with scholars based in Brazil, Spain and France. Ivan Rizzo Guilherme's co-authors include Celso K. Morooka, José Ricardo Pelaquim Mendes, Daniel Carlos Guimarães Pedronette, João Paulo Papa, Kazuo Miura, Aparecido Nilceu Marana, Giovani Chiachia, Luis C. S. Afonso, K. Miura and Danilo Colombo and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Remote Sensing.

In The Last Decade

Ivan Rizzo Guilherme

35 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Rizzo Guilherme Brazil 12 141 92 88 65 59 39 362
Jihua Ye China 9 85 0.6× 71 0.8× 40 0.5× 41 0.6× 105 1.8× 44 424
Zhangcan Huang China 9 34 0.2× 56 0.6× 212 2.4× 61 0.9× 94 1.6× 29 417
Xiaoyan Guo China 8 32 0.2× 45 0.5× 22 0.3× 18 0.3× 106 1.8× 19 290
Surekha Paneerselvam India 5 22 0.2× 47 0.5× 32 0.4× 52 0.8× 22 0.4× 19 289
Dang-Hai Pham Vietnam 4 17 0.1× 30 0.3× 34 0.4× 84 1.3× 22 0.4× 6 316
David Sotelo Mexico 11 57 0.4× 64 0.7× 40 0.5× 50 0.8× 37 0.6× 32 307
Kar Hoou Hui Malaysia 8 20 0.1× 95 1.0× 27 0.3× 54 0.8× 12 0.2× 19 311
Mohamed El Aroussi Morocco 12 20 0.1× 34 0.4× 61 0.7× 113 1.7× 135 2.3× 54 466

Countries citing papers authored by Ivan Rizzo Guilherme

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Rizzo Guilherme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Rizzo Guilherme. 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 Ivan Rizzo Guilherme. The network helps show where Ivan Rizzo Guilherme may publish in the future.

Co-authorship network of co-authors of Ivan Rizzo Guilherme

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

All Works

20 of 20 papers shown
1.
Silveira, Isabel, et al.. (2025). An Ontology of Well Engineering Entities to Extract and Structure Text Data from Daily Reports. SPE/IADC International Drilling Conference and Exhibition.
2.
Guilherme, Ivan Rizzo, et al.. (2025). Meta-Features Extracted from Use of kNN Regressor to Improve Sugarcane Crop Yield Prediction. Remote Sensing. 17(11). 1846–1846.
3.
Guilherme, Ivan Rizzo, et al.. (2023). PsyBERTpt: A Clinical Entity Recognition Model for Psychiatric Narratives. 672–677. 1 indexed citations
4.
Pedronette, Daniel Carlos Guimarães, et al.. (2023). A Meta-Feature Model for Exploiting Different Regressors to Estimate Sugarcane Crop Yield. 20. 2030–2033. 1 indexed citations
5.
Pedronette, Daniel Carlos Guimarães, et al.. (2022). RaDE+: A semantic rank-based graph embedding algorithm. International Journal of Information Management Data Insights. 2(1). 100078–100078. 2 indexed citations
6.
Afonso, Luis C. S., et al.. (2019). Evolving Neural Conditional Random Fields for drilling report classification. Journal of Petroleum Science and Engineering. 187. 106846–106846. 6 indexed citations
7.
Valem, Lucas Pascotti, Daniel Carlos Guimarães Pedronette, Fabrício Breve, & Ivan Rizzo Guilherme. (2018). Manifold Correlation Graph for Semi-Supervised Learning. UNESP Institutional Repository (São Paulo State University). 1–7. 3 indexed citations
8.
Pedronette, Daniel Carlos Guimarães, Alexandro Baldassin, Ivan Rizzo Guilherme, et al.. (2018). Pattern Analysis in Drilling Reports using Optimum-Path Forest. UNESP Institutional Repository (São Paulo State University). 1–8. 3 indexed citations
9.
Guilherme, Ivan Rizzo, et al.. (2014). Uma abordagem para gestão de conteúdos educacionais. 3(1). 73–80.
10.
Guilherme, Ivan Rizzo, et al.. (2013). Uma arquitetura multiagente para sistemas Web semântico para gestão de conteúdos educacionais. Anais ... Workshops do Congresso Brasileiro de Informática na Educação. 5 indexed citations
11.
Guilherme, Ivan Rizzo, et al.. (2011). New Trends In Musical Genre Classification Using Optimum-Path Forest.. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 699–704. 4 indexed citations
12.
Rodovalho, Cynara de Melo, Milene Ferro, Fernando P.P. Fonseca, et al.. (2011). Expressed sequence tags from Atta laevigata and identification of candidate genes for the control of pest leaf-cutting ants. BMC Research Notes. 4(1). 203–203. 4 indexed citations
13.
Miura, K., et al.. (2011). Operational Safety on Subsea Wells. 3 indexed citations
14.
Guilherme, Ivan Rizzo, Aparecido Nilceu Marana, João Paulo Papa, et al.. (2010). Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques. Engineering Applications of Artificial Intelligence. 24(1). 201–207. 22 indexed citations
15.
Guilherme, Ivan Rizzo, et al.. (2008). A Multiagent Architecture for Supervisory and Control System. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 5. 98–103. 1 indexed citations
16.
Miura, Kazuo, Celso K. Morooka, José Ricardo Pelaquim Mendes, & Ivan Rizzo Guilherme. (2006). Characterization of operational safety in offshore oil wells. Journal of Petroleum Science and Engineering. 51(1-2). 111–126. 21 indexed citations
17.
Mendes, José Ricardo Pelaquim, et al.. (2005). Definition of an Offshore Petroleum Production System by Using Fuzzy Sets and Utility Functions. Journal of Advanced Computational Intelligence and Intelligent Informatics. 9(6). 684–692. 1 indexed citations
18.
Miura, Kazuo, et al.. (2003). Processing Technical Daily Reports in Offshore Petroleum Engineering - An Experience. Journal of Advanced Computational Intelligence and Intelligent Informatics. 7(2). 223–228.
19.
Morooka, Celso K., et al.. (2000). CONTROL: PCP – An Intelligent System for Progressing Cavity Pumps. SPE Annual Technical Conference and Exhibition. 5 indexed citations
20.
Rocha, A.F., et al.. (1992). A neural net for extracting knowledge from natural language data bases. IEEE Transactions on Neural Networks. 3(5). 819–828. 6 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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