Margarida Carvalho

102 total papers · 635 total citations
36 papers, 282 citations indexed

About

Margarida Carvalho is a scholar working on Management Science and Operations Research, Economics and Econometrics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Margarida Carvalho has authored 36 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Management Science and Operations Research, 9 papers in Economics and Econometrics and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Margarida Carvalho's work include Economic theories and models (5 papers), Vehicle Routing Optimization Methods (4 papers) and Auction Theory and Applications (4 papers). Margarida Carvalho is often cited by papers focused on Economic theories and models (5 papers), Vehicle Routing Optimization Methods (4 papers) and Auction Theory and Applications (4 papers). Margarida Carvalho collaborates with scholars based in Canada, Portugal and United States. Margarida Carvalho's co-authors include Andrea Lodi, Alberto Caprara, Gerhard J. Woeginger, João Pedro Pedroso, Ana Viana, Renato Miguel do Carmo, Andrea Tramontani, Xenia Klimentova, Georges Zaccour and Ribal Atallah and has published in prestigious journals such as Management Science, European Journal of Operational Research and Operations Research.

In The Last Decade

Margarida Carvalho

28 papers receiving 273 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Margarida Carvalho 77 53 42 37 34 36 282
Lina Mallozzi 118 1.5× 33 0.6× 122 2.9× 8 0.2× 16 0.5× 37 238
Farzad Movahedi Sobhani 92 1.2× 20 0.4× 20 0.5× 15 0.4× 13 0.4× 43 317
Hamidreza Navidi 59 0.8× 23 0.4× 15 0.4× 12 0.3× 31 0.9× 41 285
Ramez Kian 45 0.6× 51 1.0× 10 0.2× 10 0.3× 13 0.4× 22 328
Elliot B. Sloane 86 1.1× 15 0.3× 27 0.6× 3 0.1× 27 0.8× 48 328
Alex F. Mills 15 0.2× 73 1.4× 44 1.0× 11 0.3× 58 1.7× 24 310
Yue Xie 21 0.3× 14 0.3× 16 0.4× 6 0.2× 21 0.6× 35 319
Pingping Cao 83 1.1× 58 1.1× 19 0.5× 15 0.4× 2 0.1× 25 304
Sara Mattia 48 0.6× 37 0.7× 7 0.2× 32 0.9× 38 1.1× 25 283
Tamás Jónás 86 1.1× 25 0.5× 10 0.2× 9 0.2× 8 0.2× 50 264

Countries citing papers authored by Margarida Carvalho

Since Specialization
Citations

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

Fields of papers citing papers by Margarida Carvalho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margarida Carvalho

This figure shows the co-authorship network connecting the top 25 collaborators of Margarida Carvalho. A scholar is included among the top collaborators of Margarida 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 Margarida Carvalho. Margarida 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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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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