Nuria Pelechano

2.3k citations
57 papers · 1.3k indexed · h-index 15
Topics
Evacuation and Crowd Dynamics (32 papers)Human Motion and Animation (28 papers)Virtual Reality Applications and Impacts (11 papers)
Partner nations
SpainUnited StatesCyprus

In The Last Decade

Nuria Pelechano

54 papers receiving 1.2k citations

Peers

Nuria Pelechano
Comparison fields: 5 of 94
  • Ocean Engineering 879
  • Computer Vision and Pattern Recognition 492
  • Control and Systems Engineering 467
  • Transportation 228
  • Human-Computer Interaction 187
Replace Soraia Raupp Musse with:
Soraia Raupp Musse Brazil
Mubbasir Kapadia United States
Stéphane Donikian France
Yiorgos Chrysanthou Cyprus
Sujeong Kim United States
Uğur Güdükbay Türkiye
Ig-Jae Kim South Korea
Aniket Bera United States
Daniel Thalmann Switzerland
Niriaska Perozo Venezuela
Nuria Pelechano relative to Soraia Raupp Musse Brazil Soraia Raupp Musse's profile →
Citations per field
00.5×1.5×2.3×
Soraia Raupp Musse · 1×
Citations per year

Countries citing papers authored by Nuria Pelechano

Since Specialization
Citations

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

Fields of papers citing papers by Nuria Pelechano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nuria Pelechano

This figure shows the co-authorship network connecting the top 25 collaborators of Nuria Pelechano. A scholar is included among the top collaborators of Nuria Pelechano 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 Nuria Pelechano. Nuria Pelechano 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
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9 20
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15 16
16 43
17
Virtual Crowds: Methods, Simulation, and Control (Synthesis Lectures on Computer Graphics and Animation)
30
18
Creating Crowd Variation with the OCEAN Personality Model (Short Paper)
2
19
Improving the realism of agent movement for high density crowd simulation
9
20 181

About Nuria Pelechano

Nuria Pelechano is a scholar working on Ocean Engineering, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Evacuation and Crowd Dynamics (32 papers), Human Motion and Animation (28 papers) and Virtual Reality Applications and Impacts (11 papers). The work is most often cited by research in Ocean Engineering (879 citations), Human-Computer Interaction (187 citations) and Transportation (228 citations). Nuria Pelechano has collaborated with scholars based in Spain, United States and Cyprus. Frequent co-authors include Norman I. Badler, Ali Malkawi, Jan M. Allbeck, Funda Durupınar, Uğur Güdükbay, Mubbasir Kapadia, Alejandro Beacco, Carlos Andújar, Roger Oliva and Bernhard Spanlang. Their work appears in journals such as ACM Transactions on Graphics, Automation in Construction and Pattern Recognition Letters.

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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