J. M. Górriz

14.8k citations

293 papers · 9.1k · 4 hit papers · h-index 53

Impact in

Neurology top 0.2%
- Brain Tumor Detection and Classification
Health Information Management top 0.05%
- Artificial Intelligence in Healthcare

Papers in

Computer Vision and Pattern Recognition 101
- Medical Image Segmentation Techniques 50
- Image Retrieval and Classification Techniques 32
Artificial Intelligence 88
- AI in cancer detection 25

Co-authors: Javier Ramı́rez (191 shared papers)D. Salas‐Gonzalez (79 shared papers)Yudong Zhang (37 shared papers)Andrés Ortíz (44 shared papers)F. Segovia (74 shared papers)Shuihua Wang‎ (20 shared papers)Carlos G. Puntonet (60 shared papers)Francisco J. Martínez-Murcia (52 shared papers)
Journals: International Journal of Neural Systems (16 papers)Neurocomputing (15 papers)Expert Systems with Applications (12 papers)Information Fusion (10 papers)Electronics Letters (10 papers)
Partner nations: Spain United Kingdom Germany

In The Last Decade

J. M. Górriz

286 papers receiving 8.8k citations

J. M. Górriz's Hit Papers

align trajectories log scale

Deep learning in food category recognition 2023 · 258 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Information Fusion
2023 Computers in Biology and Medicine
2020 Information Fusion
2020 Information Fusion

Peers

Countries citing papers authored by J. M. Górriz

Since Specialization

Citations

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

Fields of papers citing papers by J. M. Górriz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. M. Górriz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. M. Górriz Line = papers co-authored together J. M. Górriz links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 293 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation Information Fusion ·Yudong Zhang, Zhengchao Dong, Shuihua Wang‎, Xiang Yu, Xujing Yao, Qinghua Zhou, Hua Hu, Min Li, C. Jiménez-Mesa, Javier Ramı́rez, Francisco J. Martínez, J. M. Górriz Hit paper breakdown →	2020	322
2	Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease International Journal of Neural Systems ·Andrés Ortíz, Jorge Munilla, J. M. Górriz, Javier Ramı́rez	2016	294
3	Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network Information Fusion ·Shuihua Wang‎, Vishnuvarthanan Govindaraj, J. M. Górriz, Xin Zhang, Yudong Zhang Hit paper breakdown →	2020	278
4	Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network Information Processing & Management ·Yudong Zhang, Suresh Chandra Satapathy, David S. Guttery, J. M. Górriz, Shuihua Wang‎	2020	265
5	Deep learning in food category recognition Information Fusion ·Yudong Zhang, Lijia Deng, Hengde Zhu, Wei Wang, Zeyu Ren, Qinghua Zhou, Siyuan Lu, Shiting Sun, Ziquan Zhu, J. M. Górriz, Shuihua Wang‎ Hit paper breakdown →	2023	258
6	Early diagnosis of Alzheimer׳s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images Neurocomputing ·L. Khedher, Javier Ramı́rez, J. M. Górriz, A. Brahim, F. Segovia	2014	192
7	Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects Information Fusion ·Shuihua Wang‎, M. Emre Celebi, Yudong Zhang, Xiang Yu, Siyuan Lu, Xujing Yao, Qinghua Zhou, Martínez-García Miguel, Yingli Tian, J. M. Górriz, Ivan Tyukin	2021	170
8	Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders IEEE Journal of Biomedical and Health Informatics ·Francisco J. Martínez-Murcia, Andrés Ortíz, J. M. Górriz, Javier Ramı́rez, Diego Castillo-Barnés	2019	158
9	NAGNN: Classification of COVID‐19 based on neighboring aware representation from deep graph neural network International Journal of Intelligent Systems ·Siyuan Lu, Ziquan Zhu, J. M. Górriz, Shuihua Wang‎, Yudong Zhang	2021	142
10	Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review Computers in Biology and Medicine ·Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, J. M. Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya	2021	132
11	Multivariate Approach for Alzheimer’s Disease Detection Using Stationary Wavelet Entropy and Predator-Prey Particle Swarm Optimization Journal of Alzheimer s Disease ·Yudong Zhang, Shuihua Wang‎, Yuxiu Sui, Ming Yang, Bin Liu, Hong Cheng, Junding Sun, Wenjuan Jia, Preetha Phillips, J. M. Górriz	2017	125
12	Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease Neurocomputing ·M. López, Javier Ramı́rez, J. M. Górriz, I. Álvarez, D. Salas‐Gonzalez, F. Segovia, R. Chaves, Pablo Padilla, Manuel Gómez-Río	2010	123
13	NMF-SVM Based CAD Tool Applied to Functional Brain Images for the Diagnosis of Alzheimer's Disease IEEE Transactions on Medical Imaging ·Pablo Padilla, M. López, J. M. Górriz, Javier Ramı́rez, D. Salas‐Gonzalez, I. Álvarez	2011	121
14	Emotion recognition in EEG signals using deep learning methods: A review Computers in Biology and Medicine ·Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Sara Bagherzadeh, Ahmad Shalbaf, David López-García, J. M. Górriz, U. Rajendra Acharya Hit paper breakdown →	2023	120
15	Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models Frontiers in Neuroinformatics ·Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Saeid Nahavandi, Yudong Zhang, J. M. Górriz	2021	116
16	Computer-aided diagnosis of Alzheimer’s type dementia combining support vector machines and discriminant set of features Information Sciences ·Javier Ramı́rez, J. M. Górriz, D. Salas‐Gonzalez, Alfonso E. Romero, M. López, I. Álvarez, Manuel Gómez-Río	2009	116
17	Brain Connectivity Analysis: A Short Survey Computational Intelligence and Neuroscience ·Elmar W. Lang, Ana Maria Tomé, Ingo R. Keck, J. M. Górriz, Carlos G. Puntonet	2012	112
18	Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies Biomedical Signal Processing and Control ·Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdülhamit Subaşı, U. Rajendra Acharya, J. M. Górriz	2021	109
19	SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting Neuroscience Letters ·R. Chaves, Javier Ramı́rez, J. M. Górriz, M. López, D. Salas‐Gonzalez, I. Álvarez, F. Segovia	2009	107
20	18F-FDG PET imaging analysis for computer aided Alzheimer’s diagnosis Information Sciences ·(unknown), J. M. Górriz, Javier Ramı́rez, D. Salas‐Gonzalez, M. López, F. Segovia, R. Chaves, Manuel Gómez-Río, Carlos G. Puntonet	2010	103

About J. M. Górriz

J. M. Górriz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 293 papers that have together received 9.1k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (61 papers), Medical Image Segmentation Techniques (50 papers), Blind Source Separation Techniques (34 papers), Image Retrieval and Classification Techniques (32 papers), Functional Brain Connectivity Studies (31 papers), AI in cancer detection (25 papers), Spectroscopy and Chemometric Analyses (23 papers) and Dementia and Cognitive Impairment Research (22 papers). The work is most often cited by research in Neurology (1.9k citations), Health Information Management (578 citations), Health Informatics (171 citations), Computer Vision and Pattern Recognition (2.3k citations) and Cognitive Neuroscience (1.6k citations). J. M. Górriz has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Javier Ramı́rez, D. Salas‐Gonzalez, Yudong Zhang, Andrés Ortíz, F. Segovia, Shuihua Wang‎, Carlos G. Puntonet, Francisco J. Martínez-Murcia, I. Álvarez and M. López. Their work appears in journals such as International Journal of Neural Systems, Neurocomputing, Expert Systems with Applications, Information Fusion and Electronics Letters.

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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J. M. Górriz's Hit Papers

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About J. M. Górriz

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