Javier Otegui

718 total citations
11 papers, 483 citations indexed

About

Javier Otegui is a scholar working on Ecological Modeling, Molecular Biology and Ecology. According to data from OpenAlex, Javier Otegui has authored 11 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecological Modeling, 6 papers in Molecular Biology and 4 papers in Ecology. Recurrent topics in Javier Otegui's work include Species Distribution and Climate Change (9 papers), Genomics and Phylogenetic Studies (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Javier Otegui is often cited by papers focused on Species Distribution and Climate Change (9 papers), Genomics and Phylogenetic Studies (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Javier Otegui collaborates with scholars based in Spain, United States and Australia. Javier Otegui's co-authors include Robert Guralnick, Arturo H. Ariño, Vishwas Chavan, Tim Robertson, David Bloom, Laura Russell, John Wieczorek, Markus Döring, Peter Desmet and Sarah C. Elmendorf and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Javier Otegui

10 papers receiving 462 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Javier Otegui Spain	8	325	250	142	129	62	11	483
Peter Desmet Belgium	12	238 0.7×	292 1.2×	97 0.7×	120 0.9×	51 0.8×	33	536
Tim Sutton United Kingdom	4	339 1.0×	202 0.8×	183 1.3×	126 1.0×	63 1.0×	5	506
Dora Ann Lange Canhos Brazil	9	307 0.9×	153 0.6×	130 0.9×	172 1.3×	79 1.3×	19	516
Brian J. Stucky United States	12	316 1.0×	244 1.0×	123 0.9×	199 1.5×	49 0.8×	18	600
Stan Blum United States	4	379 1.2×	282 1.1×	103 0.7×	166 1.3×	166 2.7×	5	745
Laura Brenskelle United States	7	221 0.7×	145 0.6×	85 0.6×	131 1.0×	28 0.5×	13	339
Elita Baldridge United States	4	148 0.5×	229 0.9×	153 1.1×	127 1.0×	26 0.4×	7	439
Kyle Copas United States	5	432 1.3×	313 1.3×	144 1.0×	132 1.0×	56 0.9×	11	705
Donald Hobern United States	15	415 1.3×	294 1.2×	148 1.0×	175 1.4×	217 3.5×	40	775
Patrice Pottier Australia	13	101 0.3×	269 1.1×	93 0.7×	173 1.3×	19 0.3×	25	527

Countries citing papers authored by Javier Otegui

Since Specialization

Citations

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

Fields of papers citing papers by Javier Otegui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Otegui

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

All Works

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11 of 11 papers shown

1.

Mayor, Stephen J., Robert Guralnick, Morgan W. Tingley, et al.. (2017). Increasing phenological asynchrony between spring green-up and arrival of migratory birds. Scientific Reports. 7(1). 1902–1902. 157 indexed citations

2.

Cicero, Carla, Carol Spencer, David Bloom, et al.. (2017). Biodiversity Informatics and Data Quality on a Global Scale 1. 201–218. 4 indexed citations

3.

Otegui, Javier & Robert Guralnick. (2016). The geospatial data quality REST API for primary biodiversity data. Bioinformatics. 32(11). 1755–1757. 7 indexed citations

4.

Barve, Vijay & Javier Otegui. (2016). bdvis: visualizing biodiversity data in R. Bioinformatics. 32(19). 3049–3050. 8 indexed citations

5.

Ariño, Arturo H. & Javier Otegui. (2015). The Hunt for Biodiversity Information Gaps. 1 indexed citations

6.

Robertson, Tim, Markus Döring, Robert Guralnick, et al.. (2014). The GBIF Integrated Publishing Toolkit: Facilitating the Efficient Publishing of Biodiversity Data on the Internet. PLoS ONE. 9(8). e102623–e102623. 151 indexed citations

7.

Otegui, Javier, et al.. (2013). Assessing the Primary Data Hosted by the Spanish Node of the Global Biodiversity Information Facility (GBIF). PLoS ONE. 8(1). e55144–e55144. 33 indexed citations

8.

Otegui, Javier, et al.. (2013). On the dates of GBIF mobilised primary biodiversity records. Latin American Theatre Review (The University of Kansas). 8(2). 15 indexed citations

9.

Chavan, Vishwas, et al.. (2013). Content assessment of the primary biodiversity data published through GBIF network: Status, challenges and potentials. Latin American Theatre Review (The University of Kansas). 8(2). 95 indexed citations

10.

Otegui, Javier & Arturo H. Ariño. (2012). BIDDSAT: visualizing the content of biodiversity data publishers in the Global Biodiversity Information Facility network. Bioinformatics. 28(16). 2207–2208. 7 indexed citations

11.

Ariño, Arturo H., et al.. (2012). PRIMARY BIODIVERSITY DATA RECORDS IN THE PYRENEES. Environmental Engineering and Management Journal. 11(6). 1059–1075. 5 indexed citations

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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