Daniel Vallejo

13 papers receiving 544 citations

Peers

Daniel Vallejo
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 477
  • Computer Graphics and Computer-Aided Design 66
  • Aerospace Engineering 295
  • Control and Systems Engineering 236
  • Software 19
Replace Philipp Oettershagen with:
Philipp Oettershagen Switzerland
Christoforos Kanellakis Sweden
Thomas Mantel Switzerland
Immacolata Notaro Italy
Jeffrey Byrne United States
Dongjiao He Hong Kong
Michael Ruhnke Germany
Wei Mao China
Qiaoyun Wu China
Daniel Vallejo relative to Philipp Oettershagen Switzerland Philipp Oettershagen's profile →
Citations per field
00.5×1.5×2.5×
Philipp Oettershagen · 1×
Citations per year

Countries citing papers authored by Daniel Vallejo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Vallejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Daniel Vallejo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Vallejo Line = papers co-authored together Daniel Vallejo links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
OBPRM: an obstacle-based PRM for 3D workspaces
1998301
2 2002124
3 200062
4 201525
5 201621
6 200212
7 201510
8 200210
9 20077
10 20056
11
Forward Kinematics for Virtual Agents
20074
12 20143
13
A New Methodology For The Design Of Residential Water Distribution Networks And Its Population Range Of Application.
20141
14 20200

About Daniel Vallejo

Daniel Vallejo is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering, Control and Systems Engineering, Electrical and Electronic Engineering and Aerospace Engineering, having authored 14 papers that have together received 586 indexed citations. Recurring topics across this work include Water Systems and Optimization (5 papers), Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (3 papers), Urban Stormwater Management Solutions (2 papers), Artificial Intelligence in Games (2 papers), Human Motion and Animation (2 papers), Manufacturing Process and Optimization (2 papers) and Smart Grid Energy Management (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (477 citations), Computer Graphics and Computer-Aided Design (66 citations), Aerospace Engineering (295 citations), Control and Systems Engineering (236 citations) and Software (19 citations). Daniel Vallejo has collaborated with scholars based in United States, Colombia and Mexico. Frequent co-authors include Nancy M. Amato, Christopher A. Jones, O. Burçhan Bayazıt, Lucia K. Dale, Juan Saldarriaga, Jessica Bohórquez, Pedro L. Iglesias‐Rey, F. Javier Martínez-Solano, D. Páez and S. Serrano. Their work appears in journals such as Journal of Water Resources Planning and Management, IEEE Transactions on Robotics and Automation, Water, Psychological Reports and Engineering 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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