Marta Pascoal

41 papers receiving 874 citations

Peers

Marta Pascoal
Comparison fields: 5 of 75
  • Transportation 224
  • Industrial and Manufacturing Engineering 281
  • Software 71
  • Signal Processing 145
  • Computer Networks and Communications 304
Replace Roberto Nardone with:
Roberto Nardone Italy
Mathijs de Weerdt Netherlands
Koorush Ziarati Iran
Domenico Salvagnin Italy
Dragan Urošević Serbia
Jeff Kennington United States
Ted K. Ralphs United States
Wenjing Luan China
Christian Prehofer Germany
Sylvie Thiébaux Australia
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Citations per year

Countries citing papers authored by Marta Pascoal

Since Specialization
Citations

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

Fields of papers citing papers by Marta Pascoal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Marta Pascoal, 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 Marta Pascoal Line = papers co-authored together Marta Pascoal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003201
2 1999113
3 201388
4 200663
5 200358
6 201058
7 201136
8 200635
9 201526
10 200326
11
A new improvement for a K shortest paths algorithm
200122
12 201618
13 200918
14 200316
15 200616
16 200914
17 201513
18 201012
19 200910
20 20079

About Marta Pascoal

Marta Pascoal is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Computer Networks and Communications, Transportation and Computational Theory and Mathematics, having authored 42 papers that have together received 934 indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (16 papers), Vehicle Routing Optimization Methods (14 papers), Transportation Planning and Optimization (11 papers), Data Management and Algorithms (9 papers), Advanced Graph Theory Research (8 papers), Software-Defined Networks and 5G (7 papers), Network Traffic and Congestion Control (6 papers) and Risk and Safety Analysis (3 papers). The work is most often cited by research in Transportation (224 citations), Industrial and Manufacturing Engineering (281 citations), Software (71 citations), Signal Processing (145 citations) and Computer Networks and Communications (304 citations). Marta Pascoal has collaborated with scholars based in Portugal, Italy and Canada. Frequent co-authors include João Clı́maco, Gilbert Laporte, M. Eugénia Captivo, José Luís Santos, José Craveirinha, Julie Paquette, Jean-François Cordeau, Lúcia Martins, David Tipper and Teresa Gomes. Their work appears in journals such as Computers & Operations Research, European Journal of Operational Research, International Transactions in Operational Research, Top and 4OR.

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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