Inigo San Gil

1.8k citations
16 papers · 466 indexed · h-index 6

Inigo San Gil

15 papers receiving 459 citations

Peers

Inigo San Gil
Comparison fields: 5 of 74
  • Aging 235
  • Endocrine and Autonomic Systems 29
  • Ecological Modeling 18
  • Genetics 110
  • Molecular Biology 235
Replace Christina Z. Borland with:
Christina Z. Borland United States
Satoru Tomita Japan
Colin Rundel United States
Sophia Tintori United States
Yael Korem Israel
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Kirill Borziak United States
Inigo San Gil relative to Christina Z. Borland United States Christina Z. Borland's profile →
Citations per field
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Christina Z. Borland · 1×
Citations per year

Countries citing papers authored by Inigo San Gil

Since Specialization
Citations

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

Fields of papers citing papers by Inigo San Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inigo San Gil. 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 Inigo San Gil. The network helps show where Inigo San Gil may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20217
2 20201
3 201521
4 201514
5 20141
6
The Drupal Environmental Information Management System Provides Standardization, Flexibility and a Platform for Collaboration
20132
7 20120
8 20123
9 20115
10
Gestión de la información ambiental en los espacios protegidos y en las redes de seguimiento del cambio global
20103
11 201010
12 20093
13
Pasta: A Network-level Architecture Design for Automating the Creation of Synthetic Products in the LTER Network
20061
14 2003360
15
The effects of large scales on the inertial range in high-Reynolds-number turbulence: arXiv:chao-dyn/9906041v1 24 Jun 1999
19991
16 199634

About Inigo San Gil

Inigo San Gil is a scholar working on Ecological Modeling, Aging, Information Systems and Management, Information Systems and Ecology, having authored 16 papers that have together received 466 indexed citations. Recurring topics across this work include Research Data Management Practices (5 papers), Species Distribution and Climate Change (3 papers), Environmental DNA in Biodiversity Studies (3 papers), Scientific Computing and Data Management (3 papers), Fluid Dynamics and Turbulent Flows (2 papers), Biomedical Text Mining and Ontologies (2 papers), Semantic Web and Ontologies (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Aging (235 citations), Endocrine and Autonomic Systems (29 citations), Ecological Modeling (18 citations), Genetics (110 citations) and Molecular Biology (235 citations). Inigo San Gil has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Samuel Ward, V Reinke, Rustom B. Bhiladvala, Katepalli R. Sreenivasan, Shiyi Chen, Nianzheng Cao, С. И. Ваинштейн, Kristin Vanderbilt, Mike Frame and Giri Prakash. Their work appears in journals such as Physical Review Letters, Journal of Clinical Oncology, Journal of Library Metadata, Polar Biology and Development.

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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