Anasol Peña-Ríos

30 papers receiving 270 citations

Peers

Anasol Peña-Ríos
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 158
  • Human-Computer Interaction 109
  • Information Systems 69
  • Developmental and Educational Psychology 31
  • Computer Networks and Communications 29
Replace Cláudio Kirner with:
Cláudio Kirner Brazil
Mauro Figueiredo Portugal
George Margetis Greece
Giovanni Malnati Italy
Manuel Fernández Spain
Michael Zöllner Germany
Deepti Prit Kaur India
Mark Ollila Sweden
Omer Rashid United Kingdom
Euclid Keramopoulos Greece
Anasol Peña-Ríos relative to Cláudio Kirner Brazil Cláudio Kirner's profile →
Citations per field
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Cláudio Kirner · 1×
Citations per year

Countries citing papers authored by Anasol Peña-Ríos

Since Specialization
Citations

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

Fields of papers citing papers by Anasol Peña-Ríos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anasol Peña-Ríos. 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 Anasol Peña-Ríos. The network helps show where Anasol Peña-Ríos may publish in the future.

Co-authorship network of co-authors of Anasol Peña-Ríos

This figure shows the co-authorship network connecting the top 25 collaborators of Anasol Peña-Ríos. A scholar is included among the top collaborators of Anasol Peña-Ríos 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 Anasol Peña-Ríos. Anasol Peña-Ríos 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 0
3 1
4 0
5 19
6 0
7 11
8 6
9 9
10 5
11 4
12 109
13 8
14
Exploring the future of immersive education
0
15
Developing xReality objects for mixed-reality environments.
6
16
xReality interactions within a mixed reality learning environments
1
17 11
18
End-user programming & deconstrutionalism for collaborative mixed reality laboratory co-creative activities
7
19
To purge or not to purge: the neuroblastoma experience.
1
20
Patterns of lymphocyte infiltration in tumor sublines of a single mammary adenocarcinoma. Abstr.
2

About Anasol Peña-Ríos

Anasol Peña-Ríos is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Geology, having authored 35 papers that have together received 285 indexed citations. Recurring topics across this work include Augmented Reality Applications (18 papers), Virtual Reality Applications and Impacts (16 papers) and 3D Surveying and Cultural Heritage (5 papers). The work is most often cited by research in Human-Computer Interaction (109 citations), Computer Vision and Pattern Recognition (158 citations) and Geology (21 citations). Anasol Peña-Ríos has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Vic Callaghan, Michael Gardner, Minjuan Wang, Gilbert Owusu, Hani Hagras, Mohammed J. Alhaddad, Abhishek Mukhopadhyay, Pradipta Biswas, Subhankar Ghosh and Vikas Gupta. Their work appears in journals such as Machine Learning, Information Fusion and Journal of Ambient Intelligence and Humanized Computing.

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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2026