Melvin Ayala

2.6k citations
46 papers · 2.0k · h-index 18

Impact in

Papers in

Melvin Ayala

43 papers receiving 1.9k citations

Peers

Melvin Ayala
Comparison fields: 5 of 110
  • Developmental Neuroscience 398
  • Cellular and Molecular Neuroscience 434
  • Genetics 185
  • Molecular Biology 1.2k
  • Cognitive Neuroscience 287
Replace Philipp Koch with:
Philipp Koch Germany
Marta Milo United Kingdom
David R. Kornack United States
Matthew C. Tate United States
Zsolt Horváth Hungary
Kenji Kurosawa Japan
P. Tonali Italy
Katsunori Ohnishi Japan
Shih-Ying Wu United States
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Citations per field
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Citations per year

Countries citing papers authored by Melvin Ayala

Since Specialization
Citations

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

Fields of papers citing papers by Melvin Ayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Melvin Ayala, 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 Melvin Ayala Line = papers co-authored together Melvin Ayala links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010362
2 2014246
3 2013218
4 2007216
5 2009137
6 2004118
7 2015118
8 200472
9 201560
10 200543
11 201242
12 201041
13 200932
14 200531
15 200927
16 200925
17 200724
18 201118
19 202315
20
A new mathematical approach based on orthogonal operators for the detection of interictal spikes in epileptogenic data.
200412

About Melvin Ayala

Melvin Ayala is a scholar working on Cognitive Neuroscience, Molecular Biology, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (20 papers), Pluripotent Stem Cells Research (10 papers), Blind Source Separation Techniques (10 papers), Neural dynamics and brain function (8 papers), Neural Networks and Applications (7 papers), CRISPR and Genetic Engineering (5 papers), Digital Imaging for Blood Diseases (4 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Developmental Neuroscience (398 citations), Cellular and Molecular Neuroscience (434 citations), Genetics (185 citations), Molecular Biology (1.2k citations) and Cognitive Neuroscience (287 citations). Melvin Ayala has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Su‐Chun Zhang, Malek Adjouadi, Su-Chun Zhang, Mercedes Cabrerizo, Xue Jun Li, Xiaoqing Zhang, Zhijian Zhang, Michael Oldenburg, Huisheng Liu and Prasanna Jayakar. Their work appears in journals such as Nature Biotechnology, Journal of Clinical Neurophysiology, Stem Cells, Computers in Biology and Medicine and Annals of Biomedical Engineering.

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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