M.‐Carmen Juan

3.2k total citations
94 papers, 2.2k citations indexed

About

M.‐Carmen Juan is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Automotive Engineering. According to data from OpenAlex, M.‐Carmen Juan has authored 94 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 38 papers in Human-Computer Interaction and 18 papers in Automotive Engineering. Recurrent topics in M.‐Carmen Juan's work include Augmented Reality Applications (44 papers), Virtual Reality Applications and Impacts (29 papers) and Spatial Cognition and Navigation (17 papers). M.‐Carmen Juan is often cited by papers focused on Augmented Reality Applications (44 papers), Virtual Reality Applications and Impacts (29 papers) and Spatial Cognition and Navigation (17 papers). M.‐Carmen Juan collaborates with scholars based in Spain, France and Portugal. M.‐Carmen Juan's co-authors include Mariano Alcañíz, C. Monserrat, David Furió, Magdalena Méndez-López, David Pérez, Roberto Vivó, Rosa Baños, Christian Knoll, Cristina Botella and Vicente Grau and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

M.‐Carmen Juan

87 papers receiving 2.1k citations

Peers

M.‐Carmen Juan
Comparison fields: 5 of 144
  • Computer Vision and Pattern Recognition 921
  • Human-Computer Interaction 718
  • Information Systems 398
  • Developmental and Educational Psychology 332
  • Biomedical Engineering 310
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Citations per field, relative to M.‐Carmen Juan
M.‐Carmen Juan · 1×
Citations per year, relative to M.‐Carmen Juan
M.‐Carmen Juan · 1×

Countries citing papers authored by M.‐Carmen Juan

Since Specialization
Citations

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

Fields of papers citing papers by M.‐Carmen Juan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.‐Carmen Juan. 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 M.‐Carmen Juan. The network helps show where M.‐Carmen Juan may publish in the future.

Co-authorship network of co-authors of M.‐Carmen Juan

This figure shows the co-authorship network connecting the top 25 collaborators of M.‐Carmen Juan. A scholar is included among the top collaborators of M.‐Carmen Juan 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 M.‐Carmen Juan. M.‐Carmen Juan 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 2
4 0
5 1
6 4
7 12
8 26
9 16
10 22
11 32
12 1
13
Introducción a una nueva dimensión en la morfología dentaria: ARDental (Realidad Aumentada Dental)
1
14
ARGreenet and BasicGreenet: Two mobile games for learning how to recycle
19
15 97
16 182
17 1
18 55
19 71
20 7

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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