Maria Riveiro

1.8k total citations
64 papers, 1.2k citations indexed

About

Maria Riveiro is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Maria Riveiro has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 20 papers in Social Psychology. Recurrent topics in Maria Riveiro's work include Data Visualization and Analytics (23 papers), Human-Automation Interaction and Safety (18 papers) and Anomaly Detection Techniques and Applications (14 papers). Maria Riveiro is often cited by papers focused on Data Visualization and Analytics (23 papers), Human-Automation Interaction and Safety (18 papers) and Anomaly Detection Techniques and Applications (14 papers). Maria Riveiro collaborates with scholars based in Sweden, United States and Germany. Maria Riveiro's co-authors include Göran Falkman, Tove Helldin, Zhen Rong, Yongxing Jin, Tom Ziemke, Giuliana Pallotta, Michele Vespe, Serge Thill, Mikael Lebram and Jochen Schiewe and has published in prestigious journals such as PLoS ONE, Sensors and ACM Computing Surveys.

In The Last Decade

Maria Riveiro

59 papers receiving 1.1k citations

Peers

Maria Riveiro
Comparison fields: 5 of 122
  • Artificial Intelligence 370
  • Ocean Engineering 329
  • Social Psychology 275
  • Computer Vision and Pattern Recognition 253
  • Transportation 116
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Citations per field, relative to Maria Riveiro
Maria Riveiro · 1×
Citations per year, relative to Maria Riveiro
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Countries citing papers authored by Maria Riveiro

Since Specialization
Citations

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

Fields of papers citing papers by Maria Riveiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Riveiro

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Riveiro. A scholar is included among the top collaborators of Maria Riveiro 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 Riveiro. Maria Riveiro 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
# Work Indexed citations
1 0
2 2
3 0
4 2
5 0
6 27
7 6
8 4
9 111
10
A Billiard Metaphor for Exploring Complex Graphs
2
11
Perceived intelligence as a factor in (semi-) autonomous vehicle UX
3
12 10
13 3
14
Towards future threat evaluation systems: User study, proposal and precepts for design
8
15
Visual analytics for maritime anomaly detection
23
16
Explanation Methods for Bayesian Networks : review and application to a maritime scenario
14
17
Improving maritime anomaly detection and situation awareness through interactive visualization
53
18
Supporting Maritime Situation Awareness Using Self Organizing Maps and Gaussian Mixture Models
12
19 9
20 22

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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