J. M. Gonzalez

1.1k citations
8 papers · 738 indexed · 1 hit paper · h-index 5
Topics
Diabetes and associated disorders (2 papers)Hormonal and reproductive studies (1 paper)Hypothalamic control of reproductive hormones (1 paper)
Partner nations
SpainUnited States

In The Last Decade

J. M. Gonzalez

7 papers receiving 697 citations

Hit Papers

MCYT baseline corpus: a bimodal biometric database20032026201020182003100200300400

Peers

J. M. Gonzalez
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 405
  • Signal Processing 203
  • Artificial Intelligence 172
  • Information Systems 151
  • Oncology 111
Replace Tianxiao Zhang with:
Tianxiao Zhang United States
Mohammed Alkhathami Saudi Arabia
Liming Wang China
Ashwin Rao Finland
Naveed Abbas Pakistan
Jehane Michael Le Grange China
Wenjian Huang China
Jianjiang Feng China
Kadhim Hayawi United Arab Emirates
Gladston Moreira Brazil
J. M. Gonzalez relative to Tianxiao Zhang United States Tianxiao Zhang's profile →
Citations per field
00.5×6.3×
Tianxiao Zhang · 1×
Citations per year

Countries citing papers authored by J. M. Gonzalez

Since Specialization
Citations

This map shows the geographic impact of J. M. Gonzalez'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. Gonzalez 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. Gonzalez more than expected).

Fields of papers citing papers by J. M. Gonzalez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. M. Gonzalez

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1
MCYT baseline corpus: a bimodal biometric databasebreakdown →
481
2 83
3 4
4
[Congenital dyserythropoietic anemia morphologically type I with a positive HEMPAS phenomenon].
1
5 136
6
Gamma irradiation and donor antigen injection prior to xenografting of pig islets into the thymus of diabetic rats.
0
7 2
8 31

About J. M. Gonzalez

J. M. Gonzalez is a scholar working on Clinical Biochemistry, Nephrology and Small Animals, having authored 8 papers that have together received 738 indexed citations. Recurring topics across this work include Diabetes and associated disorders (2 papers), Hormonal and reproductive studies (1 paper) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (405 citations), Signal Processing (203 citations) and Media Technology (78 citations). J. M. Gonzalez has collaborated with scholars based in Spain and United States. Frequent co-authors include Marcos Faúndez-Zanuy, Julián Fiérrez, Javier Ortega-García, Carlos Vivaracho‐Pascual, David Escudero-Mancebo, Inma Hernáez, Juan J. Igarza, J A Earp, D Quade and Darrah Degnan. Their work appears in journals such as Clinical Infectious Diseases, American Journal of Public Health and Diabetologia.

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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