Friman Sánchez

1.6k total citations
9 papers, 74 citations indexed

About

Friman Sánchez is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Friman Sánchez has authored 9 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Friman Sánchez's work include Genomics and Phylogenetic Studies (6 papers), Algorithms and Data Compression (4 papers) and Parallel Computing and Optimization Techniques (3 papers). Friman Sánchez is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Algorithms and Data Compression (4 papers) and Parallel Computing and Optimization Techniques (3 papers). Friman Sánchez collaborates with scholars based in Spain, Colombia and Netherlands. Friman Sánchez's co-authors include Antonio González, Alex Ramírez, Mateo Valero, Esther Salamí, A. Ramirez, Santiago González, Montserrat Puiggròs, Enrique Blanco, David Torrents and Felipe Cabarcas and has published in prestigious journals such as Bioinformatics, PeerJ and Concurrency and Computation Practice and Experience.

In The Last Decade

Friman Sánchez

9 papers receiving 68 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Friman Sánchez Spain	5	37	36	30	18	6	9	74
Matti Heikkurinen Germany	4	67 1.8×	24 0.7×	16 0.5×	11 0.6×	8 1.3×	7	99
José Salavert Torres Spain	6	13 0.4×	8 0.2×	47 1.6×	31 1.7×	2 0.3×	13	86
N. Gopalakrishna Kini India	4	29 0.8×	17 0.5×	12 0.4×	6 0.3×	12 2.0×	19	50
Andrew Thrasher United States	6	54 1.5×	13 0.4×	41 1.4×	9 0.5×	1 0.2×	10	94
Hurng-Chun Lee Taiwan	5	42 1.1×	10 0.3×	34 1.1×	2 0.1×	5 0.8×	5	80
T.L. Casavant United States	3	23 0.6×	6 0.2×	25 0.8×	18 1.0×		4	49
Amina Guermouche France	4	43 1.2×	32 0.9×	3 0.1×	10 0.6×	16 2.7×	10	60
Włodzimierz Funika Poland	5	67 1.8×	11 0.3×	6 0.2×	15 0.8×	2 0.3×	25	84
Soonho Kong United States	5	7 0.2×	10 0.3×	9 0.3×	27 1.5×		10	60
Sneha D. Goenka United States	3	7 0.2×	6 0.2×	28 0.9×	18 1.0×	2 0.3×	3	38

Countries citing papers authored by Friman Sánchez

Since Specialization

Citations

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

Fields of papers citing papers by Friman Sánchez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Friman Sánchez

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

All Works

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9 of 9 papers shown

1.

Sánchez, Friman, et al.. (2020). DATMA: Distributed AuTomatic Metagenomic Assembly and annotation framework. PeerJ. 8. e9762–e9762. 2 indexed citations

2.

González, Santiago, Friman Sánchez, Montserrat Puiggròs, et al.. (2012). ReLA, a local alignment search tool for the identification of distal and proximal gene regulatory regions and their conserved transcription factor binding sites. Bioinformatics. 28(6). 763–770. 13 indexed citations

3.

Sánchez, Friman, et al.. (2011). Scaling HMMER Performance on Multicore Architectures. 618–623. 3 indexed citations

4.

Sánchez, Friman, Felipe Cabarcas, Alex Ramírez, & Mateo Valero. (2011). Scalable multicore architectures for long DNA sequence comparison. Concurrency and Computation Practice and Experience. 23(17). 2205–2219. 2 indexed citations

5.

Sánchez, Friman, Esther Salamí, A. Ramirez, & Mateo Valero. (2006). Parallel processing in biological sequence comparison using general purpose processors. QRU Quaderns de Recerca en Urbanisme. 28. 99–108. 9 indexed citations

6.

Sánchez, Friman, Esther Salamí, Alex Ramírez, & Mateo Valero. (2006). Performance Analysis of Sequence Alignment Applications. QRU Quaderns de Recerca en Urbanisme. 51–60. 11 indexed citations

7.

Sánchez, Friman, et al.. (2005). On the Scalability of 1- and 2-Dimensional SIMD Extensions for Multimedia Applications. QRU Quaderns de Recerca en Urbanisme. 8. 167–176. 6 indexed citations

8.

Sánchez, Friman, et al.. (1997). Static locality analysis for cache management. International Conference on Parallel Architectures and Compilation Techniques. 261–271. 26 indexed citations

9.

Sánchez, Friman, et al.. (1970). Teaching the cache memory coherence with the MESI protocol simulator. 2 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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