Margarida Carvalho

28 papers receiving 277 citations

Peers

Margarida Carvalho
Comparison fields: 5 of 70
  • Management Science and Operations Research 78
  • Organizational Behavior and Human Resource Management 55
  • Economics and Econometrics 42
  • Civil and Structural Engineering 37
  • Computer Networks and Communications 34
Replace Xuan Vinh Doan with:
Xuan Vinh Doan United Kingdom
Sergio García United Kingdom
János Mayer Switzerland
Mou Qiong China
Tamás Jónás Hungary
Cheng-Feng Hu Taiwan
Churlzu Lim United States
Chaithanya Bandi United States
Fengqiao Luo United States
Margarida Carvalho relative to Xuan Vinh Doan United Kingdom Xuan Vinh Doan's profile →
Citations per field
00.5×2.8×
Xuan Vinh Doan · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 2
6 4
7 16
8 1
9 5
10 1
11 12
12 9
13 2
14 1
15 22
16 5
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18 4
19
As emoções desencadeadas pelas interfaces web: o caso do site Duolingo
0
20
Multiple disparities: earning inequalities in Lisbon
4

About Margarida Carvalho

Margarida Carvalho is a scholar working on Management Science and Operations Research, Transplantation and Industrial and Manufacturing Engineering, having authored 36 papers that have together received 288 indexed citations. Recurring topics across this work include Economic theories and models (5 papers), Game Theory and Applications (4 papers) and Vehicle Routing Optimization Methods (4 papers). The work is most often cited by research in Management Science and Operations Research (78 citations), Organizational Behavior and Human Resource Management (55 citations) and Transplantation (10 citations). Margarida Carvalho has collaborated with scholars based in Canada, Portugal and United States. Frequent co-authors include Andrea Lodi, Alberto Caprara, Gerhard J. Woeginger, João Pedro Pedroso, Ana Viana, Andrea Tramontani, Renato Miguel do Carmo, Georges Zaccour, Ribal Atallah and Miguel F. Anjos. Their work appears in journals such as Management Science, European Journal of Operational Research and Operations Research.

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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