Rafael Murrieta-Cid

1.8k total citations
78 papers, 1.2k citations indexed

About

Rafael Murrieta-Cid is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Rafael Murrieta-Cid has authored 78 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Computer Vision and Pattern Recognition, 60 papers in Aerospace Engineering and 25 papers in Control and Systems Engineering. Recurrent topics in Rafael Murrieta-Cid's work include Robotic Path Planning Algorithms (59 papers), Robotics and Sensor-Based Localization (37 papers) and Guidance and Control Systems (19 papers). Rafael Murrieta-Cid is often cited by papers focused on Robotic Path Planning Algorithms (59 papers), Robotics and Sensor-Based Localization (37 papers) and Guidance and Control Systems (19 papers). Rafael Murrieta-Cid collaborates with scholars based in Mexico, United States and Spain. Rafael Murrieta-Cid's co-authors include Seth Hutchinson, Benjamín Tovar, Luis Enrique Sucar, Juan Irving Vasquez-Gomez, Israel Becerra, Sourabh Bhattacharya, Steven M. LaValle, Raúl Monroy, José L. Marroquín and Héctor H. González-Baños and has published in prestigious journals such as Automatica, The International Journal of Robotics Research and Journal of the Franklin Institute.

In The Last Decade

Rafael Murrieta-Cid

75 papers receiving 1.1k citations

Peers

Rafael Murrieta-Cid
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 823
  • Aerospace Engineering 793
  • Computer Networks and Communications 278
  • Control and Systems Engineering 245
  • Artificial Intelligence 134
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Citations per field, relative to Rafael Murrieta-Cid
Rafael Murrieta-Cid · 1×
Citations per year, relative to Rafael Murrieta-Cid
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Countries citing papers authored by Rafael Murrieta-Cid

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Murrieta-Cid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael Murrieta-Cid. 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 Rafael Murrieta-Cid. The network helps show where Rafael Murrieta-Cid may publish in the future.

Co-authorship network of co-authors of Rafael Murrieta-Cid

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Murrieta-Cid. A scholar is included among the top collaborators of Rafael Murrieta-Cid 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 Rafael Murrieta-Cid. Rafael Murrieta-Cid 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 1
2 1
3 6
4 1
5 1
6 5
7
Human perception-optimized planning for comfortable VR-based telepresence
14
8 4
9 35
10 1
11 20
12 3
13 35
14 80
15 19
16 34
17 7
18 22
19 9
20 12

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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