Tânia Pinto‐Varela

19 papers and 363 indexed citations i.

About

Tânia Pinto‐Varela is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Strategy and Management. According to data from OpenAlex, Tânia Pinto‐Varela has authored 19 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 11 papers in Industrial and Manufacturing Engineering and 4 papers in Strategy and Management. Recurrent topics in Tânia Pinto‐Varela’s work include Process Optimization and Integration (15 papers), Advanced Control Systems Optimization (12 papers) and Scheduling and Optimization Algorithms (11 papers). Tânia Pinto‐Varela is often cited by papers focused on Process Optimization and Integration (15 papers), Advanced Control Systems Optimization (12 papers) and Scheduling and Optimization Algorithms (11 papers). Tânia Pinto‐Varela collaborates with scholars based in Portugal, United States and Belgium. Tânia Pinto‐Varela's co-authors include Ana Paula Barbosa‐Pòvoa, Augusto Q. Novais, Bartosz Sawik, Bernardo Almada‐Lobo, Pedro Amorim, Pedro Neto, Lazaros G. Papageorgiou, Ana Carvalho, Bruna Mota and Johan Springael and has published in prestigious journals such as Journal of Cleaner Production, Industrial & Engineering Chemistry Research and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Tânia Pinto‐Varela i

Fields of papers citing papers by Tânia Pinto‐Varela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tânia Pinto‐Varela. 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 Tânia Pinto‐Varela. The network helps show where Tânia Pinto‐Varela may publish in the future.

Countries citing papers authored by Tânia Pinto‐Varela

Since Specialization
Citations

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

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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