José Mej­ía

1.1k total citations
35 papers, 751 citations indexed

About

José Mej­ía is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, José Mej­ía has authored 35 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Computer Networks and Communications. Recurrent topics in José Mej­ía's work include Medical Imaging Techniques and Applications (10 papers), Image and Signal Denoising Methods (6 papers) and Sparse and Compressive Sensing Techniques (4 papers). José Mej­ía is often cited by papers focused on Medical Imaging Techniques and Applications (10 papers), Image and Signal Denoising Methods (6 papers) and Sparse and Compressive Sensing Techniques (4 papers). José Mej­ía collaborates with scholars based in Mexico, United States and Spain. José Mej­ía's co-authors include Ignacio Rodríguez‐Iturbe, David R. Dawdy, I. Rodriguez‐Iturbe, Liliana Avelar-Sosa, Raul S. McQuivey, Carl F. Nordin, Alberto Ochoa, Osslan Osíris Vergara Villegas, Humberto de Jesús Ochoa Domínguez and Jorge Luis García-Alcaráz and has published in prestigious journals such as Scientific Reports, Water Resources Research and IEEE Access.

In The Last Decade

José Mej­ía

31 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Mej­ía Mexico 11 302 255 187 163 101 35 751
Renyi Liu China 25 398 1.3× 325 1.3× 223 1.2× 104 0.6× 89 0.9× 98 1.6k
Young‐Il Moon South Korea 17 667 2.2× 199 0.8× 295 1.6× 313 1.9× 59 0.6× 93 1.2k
Steven Weijs Canada 13 344 1.1× 259 1.0× 158 0.8× 395 2.4× 21 0.2× 33 754
N. T. Kottegoda United Kingdom 16 727 2.4× 281 1.1× 216 1.2× 448 2.7× 97 1.0× 34 1.3k
U.S. Panu Canada 17 761 2.5× 434 1.7× 130 0.7× 547 3.4× 76 0.8× 53 1.2k
Geoff Pegram South Africa 17 833 2.8× 265 1.0× 579 3.1× 367 2.3× 54 0.5× 43 1.3k
Yongxiang Huang China 20 371 1.2× 288 1.1× 252 1.3× 54 0.3× 159 1.6× 75 1.2k
Mathieu Ribatet France 15 727 2.4× 160 0.6× 335 1.8× 79 0.5× 154 1.5× 26 1.2k
Zhenfang He China 19 269 0.9× 608 2.4× 152 0.8× 53 0.3× 35 0.3× 31 998
Pierre Ailliot France 15 316 1.0× 154 0.6× 307 1.6× 47 0.3× 48 0.5× 44 812

Countries citing papers authored by José Mej­ía

Since Specialization
Citations

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

Fields of papers citing papers by José Mej­ía

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Mej­ía

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

All Works

20 of 20 papers shown
1.
Mej­ía, José, et al.. (2023). Adaptive filter with Riemannian manifold constraint. Scientific Reports. 13(1). 9014–9014.
2.
Mej­ía, José, et al.. (2023). The Importance of Clinical Reasoning in Pancreatic Insufficiency: A Case Report. Cureus. 15(5). e38760–e38760. 1 indexed citations
3.
Mej­ía, José, et al.. (2022). Recognition of Facial Expressions Using Vision Transformer. 26(2). 1–9.
4.
Mej­ía, José, et al.. (2022). Smart architecture for software-defined networking. Dialnet (Universidad de la Rioja). 19(1). 1 indexed citations
5.
Mej­ía, José, et al.. (2021). Prediction of time series using an analysis filter bank of LSTM units. Computers & Industrial Engineering. 157. 107371–107371. 25 indexed citations
6.
Mej­ía, José, et al.. (2020). Traffic Forecasting on Mobile Networks Using 3D Convolutional Layers. Mobile Networks and Applications. 25(6). 2134–2140. 10 indexed citations
7.
Ochoa, Alberto, et al.. (2019). Application of IoT with haptics interface in the smart manufacturing industry.. 10(2). 57–70. 10 indexed citations
8.
Mej­ía, José, et al.. (2019). Reconstruction of PET Images Using Cross-Entropy and Field of Experts. Entropy. 21(1). 83–83. 3 indexed citations
9.
10.
Avelar-Sosa, Liliana, Jorge Luis García-Alcaráz, José Mej­ía, Aidé Aracely Maldonado-Macías, & Giner Alor‐Hernández. (2018). Government Support and Market Proximity: Exploring Their Relationship with Supply Chain Agility and Financial performance. Sustainability. 10(7). 2441–2441. 12 indexed citations
11.
Gordillo, Nelly, et al.. (2018). Automated detection of parenchymal changes of ischemic stroke in non-contrast computer tomography: A fuzzy approach. Biomedical Signal Processing and Control. 45. 117–127. 11 indexed citations
12.
Mej­ía, José, et al.. (2018). Reconstruction of Positron Emission Tomography Images Using Gaussian Curvature. Journal of Healthcare Engineering. 2018. 1–8. 1 indexed citations
13.
Mej­ía, José, et al.. (2017). Denoising of PET Images using NSCT and Quasi-Robust Potentials. IEEE Latin America Transactions. 15(8). 1520–1527. 2 indexed citations
14.
Mej­ía, José, et al.. (2016). Super resolución de imágenes de PET utilizando variación total no local. 13(59). 164–170. 1 indexed citations
15.
Domínguez, Humberto de Jesús Ochoa, et al.. (2015). Denoising of high resolution small animal 3D PET data using the non-subsampled Haar wavelet transform. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 784. 581–584. 4 indexed citations
16.
Mej­ía, José, et al.. (2014). Noise Reduction in Small-Animal PET Images Using a Multiresolution Transform. IEEE Transactions on Medical Imaging. 33(10). 2010–2019. 13 indexed citations
17.
Mej­ía, José & Ignacio Rodríguez‐Iturbe. (1974). On the synthesis of random field sampling from the spectrum: An application to the generation of hydrologic spatial processes. Water Resources Research. 10(4). 705–711. 128 indexed citations
18.
Rodríguez‐Iturbe, Ignacio & José Mej­ía. (1974). The design of rainfall networks in time and space. Water Resources Research. 10(4). 713–728. 322 indexed citations
19.
Rodriguez‐Iturbe, I., José Mej­ía, & David R. Dawdy. (1972). Streamflow Simulation: 1. A new look at Markovian Models, fractional Gaussian noise, and Crossing Theory. Water Resources Research. 8(4). 921–930. 45 indexed citations
20.
Nordin, Carl F., Raul S. McQuivey, & José Mej­ía. (1972). Hurst phenomenon in turbulence. Water Resources Research. 8(6). 1480–1486. 22 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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