David Fernández‐Baca

2.3k citations
68 papers · 1.1k indexed · h-index 17
Topics
Genomics and Phylogenetic Studies (37 papers)Genetic diversity and population structure (18 papers)Advanced Graph Theory Research (12 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
Partner nations
United StatesIndiaSweden

In The Last Decade

David Fernández‐Baca

68 papers receiving 1.0k citations

Peers

David Fernández‐Baca
Comparison fields: 5 of 94
  • Molecular Biology 503
  • Genetics 351
  • Computer Networks and Communications 312
  • Information Systems 182
  • Hardware and Architecture 149
Replace Gabriel Valiente with:
Gabriel Valiente Spain
Filip Blagojević United States
Jonathan Rees United States
Jesper Jansson Japan
Gerth Stølting Brodal Denmark
Amihood Amir United States
Christos D. Antonopoulos Greece
Rolf Fagerberg Denmark
Sean Lee Malaysia
John Tromp Canada
David Fernández‐Baca relative to Gabriel Valiente Spain Gabriel Valiente's profile →
Citations per field
00.5×3.4×
Gabriel Valiente · 1×
Citations per year

Countries citing papers authored by David Fernández‐Baca

Since Specialization
Citations

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

Fields of papers citing papers by David Fernández‐Baca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Fernández‐Baca. 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 David Fernández‐Baca. The network helps show where David Fernández‐Baca may publish in the future.

Co-authorship network of co-authors of David Fernández‐Baca

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 22
2 2
3 3
4 4
5 1
6 2
7 2
8 13
9 2
10 19
11 13
12 7
13 62
14 60
15 12
16 23
17 8
18 2
19
Using sparsification for parametric minimum spanning tree problems
4
20 7

About David Fernández‐Baca

David Fernández‐Baca is a scholar working on Paleontology, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (37 papers), Genetic diversity and population structure (18 papers) and Advanced Graph Theory Research (12 papers). The work is most often cited by research in Hardware and Architecture (149 citations), Computer Networks and Communications (312 citations) and Genetics (351 citations). David Fernández‐Baca has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Oliver Eulenstein, J. Gordon Burleigh, Mukul S. Bansal, Richa Agarwala, Ruchi Chaudhary, Jianrong Dong, Michael J. Sanderson, Giora Slutzki, Charles U. Martel and Dan Gusfield. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

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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