Flávia Pires

418 citations
15 papers · 261 · h-index 9

Impact in

Papers in

Flávia Pires

14 papers receiving 255 citations

Peers

Flávia Pires
Comparison fields: 5 of 57
  • Industrial and Manufacturing Engineering 200
  • Management Information Systems 30
  • Medical Laboratory Technology 4
  • Management of Technology and Innovation 15
  • Safety, Risk, Reliability and Quality 19
Replace Wolfgang Schloegl with:
Wolfgang Schloegl Germany
Gianfranco E. Modoni Italy
Frank Schnicke Germany
Jakub Arm Czechia
O. Sajdl Czechia
Magnus Åkerman Sweden
Octavian Morariu Romania
Bojana Bajić Serbia
Cristina Morariu Romania
Dana Šišmišová Slovakia
Flávia Pires relative to Wolfgang Schloegl Germany Wolfgang Schloegl's profile →
Citations per field
00.5×1.5×
Wolfgang Schloegl · 1×
Citations per year

Countries citing papers authored by Flávia Pires

Since Specialization
Citations

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

Fields of papers citing papers by Flávia Pires

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Flávia Pires, 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 Flávia Pires Line = papers co-authored together Flávia Pires links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2019126
2 202023
3 202320
4 202119
5 201716
6 202012
7 202112
8 201810
9 20198
10 20186
11 20174
12 20183
13 20241
14 20221
15 20240

About Flávia Pires

Flávia Pires is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Computational Theory and Mathematics, Control and Systems Engineering and Management of Technology and Innovation, having authored 15 papers that have together received 261 indexed citations. Recurring topics across this work include Digital Transformation in Industry (13 papers), Flexible and Reconfigurable Manufacturing Systems (12 papers), Assembly Line Balancing Optimization (3 papers), Manufacturing Process and Optimization (3 papers), Scheduling and Optimization Algorithms (2 papers), Petri Nets in System Modeling (2 papers), Business Process Modeling and Analysis (2 papers) and Technology Assessment and Management (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (200 citations), Management Information Systems (30 citations), Medical Laboratory Technology (4 citations), Management of Technology and Innovation (15 citations) and Safety, Risk, Reliability and Quality (19 citations). Flávia Pires has collaborated with scholars based in Portugal, United Kingdom and Spain. Frequent co-authors include Paulo Leitão, António Paulo Moreira, José Barbosa, Ana Cachada, Bilal Ahmad, Armando Walter Colombo, Stamatis Karnouskos, Ambra Calà, Michael Gepp and Arndt Lüder. Their work appears in journals such as Computers in Industry, IEEE Open Journal of the Industrial Electronics Society, IFAC-PapersOnLine, Warwick Research Archive Portal (University of Warwick) and IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society.

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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