Jorge Oliveira e Sá

530 total citations
31 papers, 221 citations indexed

About

Jorge Oliveira e Sá is a scholar working on Management Information Systems, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Jorge Oliveira e Sá has authored 31 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Information Systems, 7 papers in Information Systems and 5 papers in Management Science and Operations Research. Recurrent topics in Jorge Oliveira e Sá's work include Big Data and Business Intelligence (8 papers), Business Process Modeling and Analysis (6 papers) and Data Quality and Management (5 papers). Jorge Oliveira e Sá is often cited by papers focused on Big Data and Business Intelligence (8 papers), Business Process Modeling and Analysis (6 papers) and Data Quality and Management (5 papers). Jorge Oliveira e Sá collaborates with scholars based in Portugal, Paraguay and Canada. Jorge Oliveira e Sá's co-authors include Maribel Yasmina Santos, Carlos Costa, Luís Paulo Reis, Vı́tor Carvalho, Joaquim Gonçalves, Joyce Aguiar, Isabel S. Gonçalves, Leonor Teixeira, Maria Sameiro Carvalho and Leonilde Varela and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Information Management and Journal of Medical Systems.

In The Last Decade

Jorge Oliveira e Sá

23 papers receiving 212 citations

Peers

Jorge Oliveira e Sá
Comparison fields: 5 of 86
  • Industrial and Manufacturing Engineering 89
  • Management Information Systems 89
  • Strategy and Management 38
  • Information Systems 29
  • Management Science and Operations Research 23
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Citations per field, relative to Jorge Oliveira e Sá
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Citations per year, relative to Jorge Oliveira e Sá
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Countries citing papers authored by Jorge Oliveira e Sá

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Oliveira e Sá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Oliveira e Sá. 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 Jorge Oliveira e Sá. The network helps show where Jorge Oliveira e Sá may publish in the future.

Co-authorship network of co-authors of Jorge Oliveira e Sá

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Oliveira e Sá. A scholar is included among the top collaborators of Jorge Oliveira e Sá 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 Jorge Oliveira e Sá. Jorge Oliveira e Sá 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
# Work Indexed citations
1 0
2 2
3 8
4 1
5 1
6 4
7 25
8 2
9 0
10 2
11 0
12 131
13 2
14 1
15
Clinical Impact of a Pharmaceutical Care Programme Developed in a Family Health Unit: Results of a Pharmacist-Physician Collaboration in the Treatment of Hypertensive Patients
1
16 12
17 1
18 1
19
A multi-driven approach to requirements analysis of data warehouse schema: a case study
3
20 3

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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