Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

Petrobras (Brazil)

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Papers in the tracked journals with an author at Petrobras (Brazil): per year and category, where they are published, the institutions its researchers write with, and its most-cited papers. A paper counts as corporate when at least one of its authors is affiliated with an institution that OpenAlex classifies as a company; it counts once for each company among its authors' affiliations. Universities are the institutions OpenAlex classifies as education. Also as Markdown.

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Key findings#

  • From 2017 to 2026 (so far), authors at Petrobras (Brazil) took part in 42 papers in the tracked journals, most of them in operations research (17), AI (12) and economics (5).
  • 6 of them were published in 2025, against 4 in 2017.
  • Since 2023, the institutions with the most of these papers were Universidade Federal do Espírito Santo (3), Universidade Federal do Rio de Janeiro (3) and Pontifícia Universidade Católica do Rio de Janeiro (2).
  • The journals publishing most of them were Expert Systems with Applications (3), Computers & Operations Research (2) and Journal of Economics and Business (1).
  • The most-cited of them is “A study on cloud and edge computing for the implementation of digital twins in the Oil & Gas industries” (Computers & Industrial Engineering, 2023), with 77 citations.
  • Since 2023, papers in the tracked journals cited 27 of its papers 80 times; 98% of those links came from papers with a university author and 6% from its own papers.
  • Its own papers since 2023 cite archived papers 84 times, 11% of them papers with a company author.
  • Across everything OpenAlex indexes, Petrobras (Brazil) has 14,460 works with 312,712 citations (h-index 162).
  • The tracked journals hold 40 of its 5,260 works in OpenAlex from 2017 to 2025 (0.8%).
  • Its main research topics in OpenAlex are Offshore Engineering and Technologies (2,119), Hydrocarbon exploration and reservoir analysis (1,876) and Drilling and Well Engineering (1,714).

Papers per year#

2017: 4 papers2018: 3 papers2019: 4 papers2020: 2 papers2021: 4 papers2022: 6 papers2023: 6 papers2024: 5 papers2025: 6 papers2026 (so far): 2 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Operations Research1211333111
AI3100022220
Economics0010110110
Information Systems0011000101
Finance0000000020
Management0010001000
All categories4342466562

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Universidade Federal do Espírito Santo3
2Universidade Federal do Rio de Janeiro3
3Pontifícia Universidade Católica do Rio de Janeiro2
4Universidade Federal Fluminense2
5Universidade Federal de Santa Catarina2
6Universidade Federal do Rio Grande do Sul2
7Universidade de São Paulo2
8Aalto University1
9Auckland University of Technology1
Countries with the most papers, since 2023
#CountryPapers
1Brazil19
2United States3
3Canada1
4China1
5Spain1
6Finland1
7France1
8Norway1
9New Zealand1
Keywords with the most papers, since 2023
#KeywordPapers
1oil and gas industry4
2digital twin2
3electric submersible pumps2
4large language models2
5predictive maintenance2
6Bovespa1
7Cournot competition1
8DBSCAN1
9DETR1
10DINOv21

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
1771.9A study on cloud and edge computing for the implementation of digital twins in the Oil & Gas industriesComputers & Industrial Engineering2023-06-05Francisco Paiva Knebel, Rafael Trevisan, Givanildo Santana do Nascimento et al.
2530.8Machine learning and oil price point and density forecastingEnergy Economics2021-08-16Alexandre Bonnet R. Costa, Pedro Cavalcanti Ferreira, Wagner Piazza Gaglianone et al.
3370.3Support Vector Data Descriptions and $k$ -Means Clustering: One Class?IEEE Transactions on Neural Networks and Learning Systems2017-09-27Nico Görnitz, Luiz Alberto Lima, Klaus‐Robert Müller et al.
4290.3Quantitative analysis of RFID’ publications from 2006 to 2016International Journal of Information Management2019-03-27Alessandro Oliveira de Oliveira, Helton Luiz Santana Oliveira, Carlos Francısco Sımões Gomes et al.
5280.3A robust optimization model for the maritime inventory routing problemFlexible Services and Manufacturing Journal2018-09-17Gustavo Souto dos Santos Diz, Sílvio Hamacher, Fabrício Oliveira
6280.3Integrating berth allocation decisions in a fleet composition and periodic routing problem of platform supply vesselsEuropean Journal of Operational Research2018-11-20Roberto Cruz, André Bergsten Mendes, Laura Bahiense et al.
7260.8An open source experimental framework and public dataset for vibration-based fault diagnosis of electrical submersible pumps used on offshore oil explorationKnowledge-Based Systems2024-01-29Flávio Miguel Varejão, Lucas Henrique Sousa Mello, Marcos Pellegrini Ribeiro et al.
8250.2Intelligent hybrid system for dark spot detection using SAR dataExpert Systems with Applications2017-03-28Patrícia Carneiro Genovez, Nelson F. F. Ebecken, Corina Freitas et al.
9250.3Resilience beyond Formal Structures: A Network Perspective towards the Challenges of an Aging Workforce in the Oil and Gas IndustryJournal of Open Innovation Technology Market and Complexity2019-03-01Fabio Bento, Luciano Garotti
10250.5Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosisExpert Systems with Applications2022-08-12Luciano Henrique Peixoto da Silva, Lucas Henrique Sousa Mello, Alexandre Loureiros Rodrigues et al.

Who cites its research#

Institutions whose papers cite it most, since 2023
#InstitutionKindCountryLinks
1Universidade Federal do Rio de JaneiroUniversityBrazil6
2Dalian Maritime UniversityUniversityChina6
3Norwegian University of Science and TechnologyUniversityNorway5
4TBS EducationUniversityFrance4
5Hong Kong Polytechnic UniversityUniversityHong Kong4
6Shanghai UniversityUniversityChina3
7Centre National de la Recherche ScientifiqueGovernmentFrance3
8Universidade Federal do Espírito SantoUniversityBrazil3
9Marche Polytechnic UniversityUniversityItaly2

What its papers cite#

Institutions its papers cite most, since 2023
#InstitutionKindCountryLinks
1University of GothenburgUniversitySweden5
2HEC MontréalUniversityCanada4
3Universidade de São PauloUniversityBrazil4
4Universidade Federal do Rio de JaneiroUniversityBrazil3
5University of LiverpoolUniversityUnited Kingdom3
6Universidade Federal do Espírito SantoUniversityBrazil3
7University of VaasaUniversityFinland3
8Wrocław University of Science and TechnologyUniversityPoland2
9Uppsala UniversityUniversitySweden2

Citation links inside the tracked journals; see the corporate citation network and industry–university links.

In OpenAlex#

Petrobras (Brazil) in OpenAlex
ItemValue
TypeCompany
LocationRio de Janeiro, Brazil
Also known asPetróleo Brasileiro S.A.
Works in OpenAlex14,460
Citations312,712
h-index162
i10-index7,386
2-year mean citedness1.29
Websitepetrobras.com.br
RORror.org/0235kyq22
OpenAlexopenalex.org/I32393484
Main research topics (OpenAlex, all works)
#TopicFieldWorks
1Offshore Engineering and TechnologiesEngineering2,119
2Hydrocarbon exploration and reservoir analysisEngineering1,876
3Drilling and Well EngineeringEngineering1,714
4Geological Studies and ExplorationEarth and Planetary Sciences1,325
5Seismic Imaging and Inversion TechniquesEarth and Planetary Sciences1,284
Works and citations per year in OpenAlex, and its papers in the tracked journals
YearWorks in OpenAlexCitations receivedIn the tracked journalsShare
2026 (so far)64311,08920.3%
202587914,33360.7%
202473714,62350.7%
202367814,15160.9%
202249114,07761.2%
202153114,25240.8%
202048412,13620.4%
201955010,90640.7%
20184009,38430.8%
20175108,54640.8%

From OpenAlex's own record of the institution (CC0), read again monthly. Works and citations count everything OpenAlex indexes, not only the tracked journals; topics are OpenAlex's classification of those works.

Cite this page

Scholar4AI. (2026). Petrobras (Brazil). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/companies/petrobras-brazil

@misc{scholar4ai-companies-petrobras-brazil,
  author = {{Scholar4AI}},
  title = {Petrobras (Brazil)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/petrobras-brazil}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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