Daniel Vallejo

27 total papers · 829 total citations
14 papers, 585 citations indexed

About

Daniel Vallejo is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering and Control and Systems Engineering. According to data from OpenAlex, Daniel Vallejo has authored 14 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Civil and Structural Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Daniel Vallejo's work include Robotic Path Planning Algorithms (5 papers), Water Systems and Optimization (5 papers) and Robotics and Sensor-Based Localization (3 papers). Daniel Vallejo is often cited by papers focused on Robotic Path Planning Algorithms (5 papers), Water Systems and Optimization (5 papers) and Robotics and Sensor-Based Localization (3 papers). Daniel Vallejo collaborates with scholars based in United States, Colombia and Mexico. Daniel Vallejo's co-authors include Nancy M. Amato, Christopher A. Jones, Lucia K. Dale, O. Burçhan Bayazıt, Juan Saldarriaga, Jessica Bohórquez, Pedro L. Iglesias‐Rey, F. Javier Martínez-Solano, D. Páez and S. Serrano and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Robotics and Automation and Water.

In The Last Decade

Daniel Vallejo

13 papers receiving 543 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Vallejo 477 295 236 73 66 14 585
Ercan U. Acar 492 1.0× 322 1.1× 107 0.5× 42 0.6× 40 0.6× 7 584
P.N. Atkar 448 0.9× 268 0.9× 146 0.6× 20 0.3× 75 1.1× 10 652
Iram Noreen 428 0.9× 265 0.9× 144 0.6× 41 0.6× 16 0.2× 22 520
Markus Schoeler 307 0.6× 231 0.8× 118 0.5× 57 0.8× 22 0.3× 14 665
Thomas Mantel 343 0.7× 516 1.7× 78 0.3× 30 0.4× 28 0.4× 12 686
Yoav Gabriely 545 1.1× 366 1.2× 116 0.5× 39 0.5× 38 0.6× 10 633
Madhav K. Ponamgi 497 1.0× 198 0.7× 168 0.7× 26 0.4× 318 4.8× 9 668
Lucia K. Dale 549 1.2× 345 1.2× 250 1.1× 83 1.1× 64 1.0× 9 596
Alexey Abramov 355 0.7× 186 0.6× 146 0.6× 86 1.2× 20 0.3× 11 678
Liang Yang 344 0.7× 208 0.7× 79 0.3× 53 0.7× 9 0.1× 21 525

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-authorship network of co-authors of Daniel Vallejo

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Vallejo. A scholar is included among the top collaborators of Daniel Vallejo 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 Daniel Vallejo. Daniel Vallejo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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