Fernando Martín

39 total papers · 580 total citations
29 papers, 443 citations indexed

About

Fernando Martín is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Fernando Martín has authored 29 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Aerospace Engineering, 18 papers in Computer Vision and Pattern Recognition and 5 papers in Control and Systems Engineering. Recurrent topics in Fernando Martín's work include Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (11 papers) and Advanced Vision and Imaging (6 papers). Fernando Martín is often cited by papers focused on Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (11 papers) and Advanced Vision and Imaging (6 papers). Fernando Martín collaborates with scholars based in Spain, Switzerland and Australia. Fernando Martín's co-authors include Luís Moreno, Santiago Garrido, Mohamed Abderrahim, Dolores Blanco, Concepción A. Monje, Dorin Copaci, Carlos Balaguer, Roland Siegwart, Rudolph Triebel and Jaime Valls Miró and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Fernando Martín

29 papers receiving 431 citations

Author Peers

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

Author						Papers	Cites
Fernando Martín	226	176	118	107	46	29	443
Yong Wang	133 0.6×	140 0.8×	71 0.6×	95 0.9×	55 1.2×	26	414
Somasundar Kannan	171 0.8×	170 1.0×	130 1.1×	36 0.3×	50 1.1×	44	413
Yunkuan Wang	203 0.9×	117 0.7×	149 1.3×	92 0.9×	28 0.6×	38	472
Nir Shvalb	87 0.4×	74 0.4×	99 0.8×	84 0.8×	28 0.6×	60	379
Zhao Ma	184 0.8×	62 0.4×	82 0.7×	67 0.6×	18 0.4×	40	484
Chong Tang	152 0.7×	92 0.5×	115 1.0×	125 1.2×	15 0.3×	37	420
Khalid Munawar	95 0.4×	107 0.6×	182 1.5×	61 0.6×	24 0.5×	50	407
Ripul Ghosh	197 0.9×	86 0.5×	46 0.4×	75 0.7×	12 0.3×	25	420
Christian Lenz	103 0.5×	85 0.5×	142 1.2×	104 1.0×	17 0.4×	30	427
Christopher Reardon	215 1.0×	113 0.6×	66 0.6×	42 0.4×	9 0.2×	44	399

Countries citing papers authored by Fernando Martín

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Martín

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Martín

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Martín. A scholar is included among the top collaborators of Fernando Martín 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 Fernando Martín. Fernando Martín 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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