José M. Mossi

510 total citations · 1 hit paper
9 papers, 343 citations indexed

About

José M. Mossi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Orthopedics and Sports Medicine. According to data from OpenAlex, José M. Mossi has authored 9 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Biomedical Engineering and 3 papers in Orthopedics and Sports Medicine. Recurrent topics in José M. Mossi's work include Retinal Imaging and Analysis (4 papers), Sports Performance and Training (3 papers) and Sports injuries and prevention (3 papers). José M. Mossi is often cited by papers focused on Retinal Imaging and Analysis (4 papers), Sports Performance and Training (3 papers) and Sports injuries and prevention (3 papers). José M. Mossi collaborates with scholars based in Spain, Denmark and France. José M. Mossi's co-authors include Valery Naranjo, Sandra Morales, Thomas Köhler, Amparo Návea, Andres Diaz‐Pinto, Basílio Pueo, Jose Manuel Jiménez-Olmedo, Adrián Colomer, David P.D. Woldbye and Kristian Klemp and has published in prestigious journals such as Sensors, International Journal of Environmental Research and Public Health and Applied Sciences.

In The Last Decade

José M. Mossi

9 papers receiving 322 citations

Hit Papers

CNNs for automatic glauco... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
José M. Mossi Spain 7 289 239 183 32 22 9 343
Gilberto Zamora United States 11 254 0.9× 204 0.9× 132 0.7× 54 1.7× 8 0.4× 34 360
Francisco Fumero Spain 8 490 1.7× 389 1.6× 322 1.8× 34 1.1× 2 0.1× 19 571
Ahmed Almazroa Canada 9 357 1.2× 308 1.3× 176 1.0× 23 0.7× 12 381
K. Prabhakar Nayak India 7 286 1.0× 228 1.0× 178 1.0× 33 1.0× 11 336
Uyen T. V. Nguyen Australia 6 370 1.3× 298 1.2× 241 1.3× 13 0.4× 9 419
Jörg Meier Germany 4 334 1.2× 292 1.2× 178 1.0× 24 0.8× 6 390
Qinyan Zhang China 7 272 0.9× 213 0.9× 172 0.9× 16 0.5× 1 0.0× 19 348
Mohammad Saleh Miri United States 8 331 1.1× 261 1.1× 213 1.2× 59 1.8× 13 381
Wing Kee Wong Singapore 4 279 1.0× 231 1.0× 171 0.9× 23 0.7× 1 0.0× 7 306

Countries citing papers authored by José M. Mossi

Since Specialization
Citations

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

Fields of papers citing papers by José M. Mossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Mossi. 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 José M. Mossi. The network helps show where José M. Mossi may publish in the future.

Co-authorship network of co-authors of José M. Mossi

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

All Works

9 of 9 papers shown
1.
Jiménez-Olmedo, Jose Manuel, et al.. (2023). Concurrent Validity of the Inertial Measurement Unit Vmaxpro in Vertical Jump Estimation. Applied Sciences. 13(2). 959–959. 6 indexed citations
2.
Jiménez-Olmedo, Jose Manuel, et al.. (2022). Reliability of My Jump 2 Derived from Crouching and Standing Observation Heights. International Journal of Environmental Research and Public Health. 19(16). 9854–9854. 10 indexed citations
3.
Pueo, Basílio, José J. López, José M. Mossi, Adrián Colomer, & Jose Manuel Jiménez-Olmedo. (2021). Video-Based System for Automatic Measurement of Barbell Velocity in Back Squat. Sensors. 21(3). 925–925. 8 indexed citations
4.
Morales, Sandra, Adrián Colomer, José M. Mossi, et al.. (2020). Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks. Computer Methods and Programs in Biomedicine. 198. 105788–105788. 9 indexed citations
5.
Diaz‐Pinto, Andres, Sandra Morales, Valery Naranjo, et al.. (2019). CNNs for automatic glaucoma assessment using fundus images: an extensive validation. BioMedical Engineering OnLine. 18(1). 29–29. 289 indexed citations breakdown →
6.
7.
Amor, Rocío del, Sandra Morales, José M. Mossi, et al.. (2019). Towards Automatic Glaucoma Assessment: An Encoder-decoder CNN for Retinal Layer Segmentation in Rodent OCT images. Research at the University of Copenhagen (University of Copenhagen). 1–5. 5 indexed citations
8.
Colomer, Adrián, et al.. (2018). Evaluation of fractal dimension effectiveness for damage detection in retinal background. Journal of Computational and Applied Mathematics. 337. 341–353. 9 indexed citations
9.
Albiol, Antonio, José M. Mossi, Alberto Albiol, & Valery Naranjo. (2007). Automatic License Plate Reading Using Mathematical Morphology. 6 indexed citations

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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