Leandro Tortosa

106 total papers · 846 total citations
59 papers, 567 citations indexed

About

Leandro Tortosa is a scholar working on Statistical and Nonlinear Physics, Building and Construction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Leandro Tortosa has authored 59 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistical and Nonlinear Physics, 15 papers in Building and Construction and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Leandro Tortosa's work include Complex Network Analysis Techniques (15 papers), Urban Design and Spatial Analysis (12 papers) and Opinion Dynamics and Social Influence (10 papers). Leandro Tortosa is often cited by papers focused on Complex Network Analysis Techniques (15 papers), Urban Design and Spatial Analysis (12 papers) and Opinion Dynamics and Social Influence (10 papers). Leandro Tortosa collaborates with scholars based in Spain, United States and Italy. Leandro Tortosa's co-authors include José F. Vicent, Joan‐Josep Climent, Rafael Álvarez, Pablo Martí Ciriquián, Richard C. Wilson, Rocío Rodríguez, Francisco Pedroche, Leticia Serrano-Estrada, Faraón Llorens Largo and Fernando Terroso-Sáenz and has published in prestigious journals such as PLoS ONE, Mathematics of Computation and Information Sciences.

In The Last Decade

Leandro Tortosa

56 papers receiving 544 citations

Author Peers

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

Author						Papers	Cites
Leandro Tortosa	192	174	120	119	56	59	567
José F. Vicent	187 1.0×	174 1.0×	107 0.9×	119 1.0×	47 0.8×	48	522
Xin Wang	229 1.2×	94 0.5×	215 1.8×	45 0.4×	86 1.5×	72	616
Xin Chen	70 0.4×	138 0.8×	71 0.6×	32 0.3×	28 0.5×	31	592
Xinjiang Lu	62 0.3×	227 1.3×	211 1.8×	138 1.2×	65 1.2×	46	613
Kyoung‐Sook Kim	59 0.3×	114 0.7×	136 1.1×	110 0.9×	51 0.9×	69	567
Fei Qi	129 0.7×	82 0.5×	55 0.5×	37 0.3×	44 0.8×	39	671
Tong Xu	113 0.6×	91 0.5×	165 1.4×	36 0.3×	178 3.2×	46	588
Maria Vasardani	33 0.2×	121 0.7×	157 1.3×	30 0.3×	58 1.0×	50	589
Yilun Jin	72 0.4×	55 0.3×	503 4.2×	88 0.7×	81 1.4×	28	681
Eugenio Cesario	30 0.2×	158 0.9×	189 1.6×	89 0.7×	65 1.2×	51	609

Countries citing papers authored by Leandro Tortosa

Since Specialization

Citations

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

Fields of papers citing papers by Leandro Tortosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leandro Tortosa

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