Javier Medina

166 total papers · 1.2k total citations
52 papers, 718 citations indexed

About

Javier Medina is a scholar working on Artificial Intelligence, Building and Construction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Javier Medina has authored 52 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Building and Construction and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Javier Medina's work include Traffic Prediction and Management Techniques (10 papers), Transportation Planning and Optimization (8 papers) and Traffic control and management (5 papers). Javier Medina is often cited by papers focused on Traffic Prediction and Management Techniques (10 papers), Transportation Planning and Optimization (8 papers) and Traffic control and management (5 papers). Javier Medina collaborates with scholars based in Spain, United States and Greece. Javier Medina's co-authors include Javier Del Ser, Juan Luis Castro, Pietro Cerri, Moises Díaz, Ángel Fidalgo-Blanco, Margarita Martínez, Mounir Ben Ayed, Oriol Borrás-Gené, Iztok Fister and Adel M. Alimi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Javier Medina

45 papers receiving 687 citations

Author Peers

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

Author						Papers	Cites
Javier Medina	173	150	148	133	132	52	718
Nasser Mozayani	183 1.1×	310 2.1×	203 1.4×	95 0.7×	148 1.1×	87	802
Ken Cai	161 0.9×	105 0.7×	130 0.9×	40 0.3×	90 0.7×	51	788
Nan Han	125 0.7×	80 0.5×	138 0.9×	94 0.7×	196 1.5×	41	777
Chyi‐Ren Dow	123 0.7×	77 0.5×	232 1.6×	107 0.8×	36 0.3×	94	852
José-Luís Pérez-de-la-Cruz	97 0.6×	78 0.5×	74 0.5×	51 0.4×	78 0.6×	57	821
Yanghe Feng	64 0.4×	265 1.8×	116 0.8×	63 0.5×	113 0.9×	39	795
Gustavo Gatica	76 0.4×	53 0.4×	240 1.6×	333 2.5×	105 0.8×	75	876
Nafaâ Jabeur	41 0.2×	77 0.5×	84 0.6×	48 0.4×	66 0.5×	66	679
Shiru Qu	423 2.4×	177 1.2×	131 0.9×	151 1.1×	50 0.4×	67	879
Qinghai Miao	143 0.8×	102 0.7×	83 0.6×	83 0.6×	66 0.5×	50	665

Countries citing papers authored by Javier Medina

Since Specialization

Citations

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

Fields of papers citing papers by Javier Medina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Medina

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