Daniel Hernández

56 total papers · 1.4k total citations
17 papers, 636 citations indexed

About

Daniel Hernández is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Daniel Hernández has authored 17 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Networks and Communications and 4 papers in Aerospace Engineering. Recurrent topics in Daniel Hernández's work include UAV Applications and Optimization (4 papers), Robotic Path Planning Algorithms (3 papers) and Flood Risk Assessment and Management (2 papers). Daniel Hernández is often cited by papers focused on UAV Applications and Optimization (4 papers), Robotic Path Planning Algorithms (3 papers) and Flood Risk Assessment and Management (2 papers). Daniel Hernández collaborates with scholars based in Spain, Germany and Sweden. Daniel Hernández's co-authors include Eliseo Clementini, Paolino Di Felice, José M. Cecilia, Carlos T. Calafate, Juan‐Carlos Cano, Ricardo Giesen, Felipe Delgado, Juan Carlos Muñoz, Modesto Castrillón-Santana and Javier Lorenzo-Navarro and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems and Remote Sensing.

In The Last Decade

Daniel Hernández

15 papers receiving 559 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 Hernández 277 232 169 165 164 17 636
Dominik Schultes 242 0.9× 369 1.6× 42 0.2× 112 0.7× 156 1.0× 16 700
Lu‐An Tang 244 0.9× 400 1.7× 79 0.5× 201 1.2× 90 0.5× 25 772
Pouria Amirian 154 0.6× 134 0.6× 89 0.5× 66 0.4× 73 0.4× 25 651
Chih‐Chieh Hung 179 0.6× 290 1.3× 48 0.3× 136 0.8× 87 0.5× 39 677
Jilin Hu 97 0.4× 333 1.4× 49 0.3× 186 1.1× 128 0.8× 39 726
Sijie Ruan 115 0.4× 265 1.1× 52 0.3× 101 0.6× 96 0.6× 36 721
Alberto Rosi 216 0.8× 55 0.2× 50 0.3× 100 0.6× 153 0.9× 35 574
Favyen Bastani 55 0.2× 101 0.4× 46 0.3× 72 0.4× 203 1.2× 18 726
Carole Dulong 108 0.4× 34 0.1× 26 0.2× 94 0.6× 303 1.8× 16 770
Julien Eberle 194 0.7× 80 0.3× 21 0.1× 94 0.6× 143 0.9× 17 597

Countries citing papers authored by Daniel Hernández

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hernández

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026