Vítor Filipe

2.8k citations
93 papers · 1.5k indexed · h-index 21
Topics
Spinal Cord Injury Research (11 papers)Robotics and Sensor-Based Localization (10 papers)Tactile and Sensory Interactions (9 papers)

In The Last Decade

Vítor Filipe

84 papers receiving 1.4k citations

Peers

Vítor Filipe
Comparison fields: 5 of 152
  • Cellular and Molecular Neuroscience 400
  • Surgery 259
  • Computer Vision and Pattern Recognition 227
  • Biomedical Engineering 216
  • Cognitive Neuroscience 200
Replace Frédéric Marin with:
Frédéric Marin France
Richard Boyle United States
Winfried Ilg Germany
J. Flórez Spain
Giorgio Colombo Italy
Alessandro Di Graziano Italy
John A. Buford United States
Jean‐Louis Vercher France
Cho Hyun-Chul South Korea
James T. Heaton United States
Vítor Filipe relative to Frédéric Marin France Frédéric Marin's profile →
Citations per field
00.5×1.5×2.1×
Frédéric Marin · 1×
Citations per year

Countries citing papers authored by Vítor Filipe

Since Specialization
Citations

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

Fields of papers citing papers by Vítor Filipe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vítor Filipe

This figure shows the co-authorship network connecting the top 25 collaborators of Vítor Filipe. A scholar is included among the top collaborators of Vítor Filipe 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 Vítor Filipe. Vítor Filipe 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 1
3 0
4 0
5 0
6 1
7 1
8 2
9 1
10 0
11 1
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13 15
14 8
15 4
16
Técnicas bidimensionais e tridimensionais para determinar os padrões cinemáticos durante a ultrapassagem de obstáculos pelos membros pélvicos durante a locomoção de ovinos
1
17 13
18 8
19
Stereo vision in blind navigation assistance
32
20
A METHOD FOR AUTOMATIC RELOCATION OF SKIN MARKERS IN REARFOOT MOTION ANALYSIS
2

About Vítor Filipe

Vítor Filipe is a scholar working on Human-Computer Interaction, Equine and Computer Vision and Pattern Recognition, having authored 93 papers that have together received 1.5k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (11 papers), Robotics and Sensor-Based Localization (10 papers) and Tactile and Sensory Interactions (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (400 citations), Human-Computer Interaction (113 citations) and Developmental Neuroscience (74 citations). Vítor Filipe has collaborated with scholars based in Portugal, Italy and United States. Frequent co-authors include Artur S.P. Varejão, Pedro Melo‐Pinto, José Bulas‐Cruz, Marcel F. Meek, João Barroso, Hugo Fernandes, Stefano Geuna, Pedro Couto, António Cabrita and Luís Maltez. Their work appears in journals such as Neuroscience & Biobehavioral Reviews, IEEE Access and Sensors.

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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