Mikel Hernáez

1.6k citations
49 papers · 724 indexed · h-index 14

Mikel Hernáez

44 papers receiving 711 citations

Peers

Mikel Hernáez
Comparison fields: 5 of 92
  • Artificial Intelligence 274
  • Cancer Research 96
  • Molecular Biology 428
  • Computer Networks and Communications 137
  • Hepatology 35
Replace Chris Allan with:
Chris Allan United Kingdom
Shifu Li China
Manuel Holtgrewe Germany
Satoshi Okawa Japan
Homin K. Lee United States
Kui Duan China
Chun-Hsi Huang United States
Kenji Satou Japan
Miloš Nikolić Germany
Timothy Danford United States
Mikel Hernáez relative to Chris Allan United Kingdom Chris Allan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mikel Hernáez

Since Specialization
Citations

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

Fields of papers citing papers by Mikel Hernáez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20245
4 20241
5 20242
6 202416
7 202319
8 20239
9 20227
10 20222
11 20217
12 202153
13 20201
14 201929
15 201910
16 20195
17 2019134
18 201828
19 201714
20 20175

About Mikel Hernáez

Mikel Hernáez is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology, having authored 49 papers that have together received 724 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (19 papers), Algorithms and Data Compression (19 papers), Gene expression and cancer classification (10 papers), Single-cell and spatial transcriptomics (7 papers), Error Correcting Code Techniques (5 papers), Bioinformatics and Genomic Networks (5 papers), Advanced Data Storage Technologies (5 papers) and Cooperative Communication and Network Coding (4 papers). The work is most often cited by research in Artificial Intelligence (274 citations), Cancer Research (96 citations) and Molecular Biology (428 citations). Mikel Hernáez has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Idoia Ochoa, Tsachy Weissman, Auinash Kalsotra, Sushant Bangru, Kedar Tatwawadi, Ullas V. Chembazhi, Olivier Gevaert, Rachel L. Goldfeder, Shubham Chandak and Dmitri S. Pavlichin. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

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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