Maria Sameiro Carvalho

1.3k total citations
69 papers, 786 citations indexed

About

Maria Sameiro Carvalho is a scholar working on Management Information Systems, Strategy and Management and Industrial and Manufacturing Engineering. According to data from OpenAlex, Maria Sameiro Carvalho has authored 69 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Management Information Systems, 24 papers in Strategy and Management and 24 papers in Industrial and Manufacturing Engineering. Recurrent topics in Maria Sameiro Carvalho's work include Quality and Supply Management (27 papers), Sustainable Supply Chain Management (17 papers) and Advanced Manufacturing and Logistics Optimization (15 papers). Maria Sameiro Carvalho is often cited by papers focused on Quality and Supply Management (27 papers), Sustainable Supply Chain Management (17 papers) and Advanced Manufacturing and Logistics Optimization (15 papers). Maria Sameiro Carvalho collaborates with scholars based in Portugal, Vietnam and Netherlands. Maria Sameiro Carvalho's co-authors include Lino Costa, Paulo Sampaio, Paulo Cortez, Huy Truong Quang, Ana Cristina Fernandes, An Duong Thi Binh, Filipe Alvelos, Abdur Rais, Estela Vilhena and Anabela Carvalho Alves and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and Decision Support Systems.

In The Last Decade

Maria Sameiro Carvalho

62 papers receiving 744 citations

Peers

Maria Sameiro Carvalho

MIS

IME

MSOR

Xiaofan Lai China

Alfred L. Guiffrida United States

Massimiliano M. Schiraldi Italy

Nader Azad Iran

Armand Baboli France

Carina Pimentel Portugal

Xuting Sun China

Johan Marklund Sweden

Wang Jia China

Ebrahim Teimoury Iran

Xiaofan Lai China

Maria Sameiro Carvalho

540 ×1.4

271 ×0.8

MIS

234 ×0.9

IME

82 ×0.7

MSOR

116 ×1.1

Citations per year, relative to Maria Sameiro Carvalho Maria Sameiro Carvalho (= 1×) peers Xiaofan Lai

Countries citing papers authored by Maria Sameiro Carvalho

Since Specialization

Citations

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

Fields of papers citing papers by Maria Sameiro Carvalho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Sameiro Carvalho. 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 Maria Sameiro Carvalho. The network helps show where Maria Sameiro Carvalho may publish in the future.

Co-authorship network of co-authors of Maria Sameiro Carvalho

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

All Works

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20 of 20 papers shown

Carvalho, Maria Sameiro, et al.. (2025). A decision support system to define new inventory management policies in companies transitioning towards data-driven decision-making. Procedia Computer Science. 263. 25–33.

Cortez, Paulo, et al.. (2024). A context-aware decision support system for selecting explainable artificial intelligence methods in business organizations. Computers in Industry. 165. 104233–104233. 4 indexed citations

Cortez, Paulo, et al.. (2023). A decision support system based on a multivariate supervised regression strategy for estimating supply lead times. Engineering Applications of Artificial Intelligence. 125. 106671–106671. 1 indexed citations

Binh, An Duong Thi, et al.. (2023). Service-oriented manufacturing supply chain: risks and their resonant effect. Journal of Enterprise Information Management. 37(1). 24–54. 3 indexed citations

Pham, Hai Thanh, et al.. (2022). The impact of global risks on supply chain performance. An empirical study on construction sector in the COVID-19 pandemic. International Journal of Quality & Reliability Management. 40(4). 1009–1035. 12 indexed citations

Binh, An Duong Thi, et al.. (2022). Risks and supply chain performance: globalization and COVID-19 perspectives. International Journal of Productivity and Performance Management. 72(7). 1962–1986. 28 indexed citations

Carvalho, Maria Sameiro, et al.. (2022). Strategy for the introduction of autonomous driving technologies: a case study in the logistics area of an automotive company. Procedia Computer Science. 204. 337–345. 3 indexed citations

Cortez, Paulo, et al.. (2021). A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process. Operations Research Perspectives. 8. 100192–100192. 12 indexed citations

Santos, Maribel Yasmina, et al.. (2021). Advancing Logistics 4.0 with the Implementation of a Big Data Warehouse: A Demonstration Case for the Automotive Industry. Electronics. 10(18). 2221–2221. 27 indexed citations

10.

Ferreira, Paula, Joana L. Rodrigues, & Maria Sameiro Carvalho. (2021). Economic Evaluation of a Radio Frequency Identification System for a Home Appliance Retail Business. 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). 10. 37–40. 1 indexed citations

11.

Fernandes, Ana Cristina, et al.. (2021). An innovative maturity model to assess supply chain quality management. International Journal of Quality & Reliability Management. 40(1). 103–123. 11 indexed citations

12.

Vieira, António, et al.. (2018). Simulation model generation for warehouse management: case study to test different storage strategies. International Journal of Simulation and Process Modelling. 13(4). 324–324. 5 indexed citations

13.

Oliveira, José A., et al.. (2018). The impact of industry 4.0 to the environment in the cement industry supply chain. RepositóriUM (Universidade do Minho). 1 indexed citations

14.

Carvalho, Maria Sameiro, et al.. (2017). Using discrete simulation to support internal logistics process design. RepositóriUM (Universidade do Minho). 2 indexed citations

15.

Costa, Filomena, Maria Sameiro Carvalho, João M. Fernandes, Anabela Carvalho Alves, & Paolo Silva. (2017). Improving visibility using RFID – the case of a company in the automotive sector. Procedia Manufacturing. 13. 1261–1268. 14 indexed citations

16.

Afonso, Paulo, et al.. (2016). Incorporating economic issues in the design of sustainable DRT systems: Insights from the case of a Portuguese municipality. RepositóriUM (Universidade do Minho). 143–148. 2 indexed citations

17.

Carvalho, Maria Sameiro, et al.. (2014). Green supply chain design with multi-objective optimization. RepositóriUM (Universidade do Minho). 488–497. 9 indexed citations

18.

Carvalho, Maria Sameiro, et al.. (2011). An integrated model for warehouse design and planning. Optimization. 1 indexed citations

19.

Carvalho, Maria Sameiro, et al.. (2011). A simulation approach to support the design of flexible transport systems. RepositóriUM (Universidade do Minho). 1(1). 201–207. 1 indexed citations

20.

Carvalho, Maria Sameiro, et al.. (2010). Operational research models in warehouse design and planning. Biblioteca Digital do IPB (Instituto Politecnico De Braganca).

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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