Clemente Borges

1.3k total citations · 1 hit paper
5 papers, 751 citations indexed

About

Clemente Borges is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Management Information Systems. According to data from OpenAlex, Clemente Borges has authored 5 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Molecular Biology and 2 papers in Management Information Systems. Recurrent topics in Clemente Borges's work include Data Visualization and Analytics (3 papers), Big Data and Business Intelligence (2 papers) and Protein Structure and Dynamics (2 papers). Clemente Borges is often cited by papers focused on Data Visualization and Analytics (3 papers), Big Data and Business Intelligence (2 papers) and Protein Structure and Dynamics (2 papers). Clemente Borges collaborates with scholars based in Spain, Germany and Russia. Clemente Borges's co-authors include Dmitri I. Svergun, Dmitry Molodenskiy, Cy M. Jeffries, Alexey Kikhney, Karen Manalastas-Cantos, Alejandro Panjkovich, Petr V. Konarev, Haydyn D. T. Mertens, Nelly R. Hajizadeh and Maxim V. Petoukhov and has published in prestigious journals such as Journal of Applied Crystallography, Protein Science and Science of Computer Programming.

In The Last Decade

Clemente Borges

4 papers receiving 748 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ATSAS 3.0: expanded functionality and new tools for small-angle scattering data analysis

2020 581 citations Karen Manalastas-Cantos, Petr V. Konarev et al. Journal of Applied Crystallography profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Clemente Borges Spain	3	481	221	55	52	44	5	751
Karen Manalastas-Cantos Germany	6	396 0.8×	173 0.8×	50 0.9×	42 0.8×	40 0.9×	6	624
Dmitry Molodenskiy Germany	10	611 1.3×	284 1.3×	71 1.3×	63 1.2×	46 1.0×	17	954
Søren Skou United States	5	456 0.9×	229 1.0×	49 0.9×	41 0.8×	27 0.6×	7	684
Alejandro De María Antolinos France	6	433 0.9×	201 0.9×	41 0.7×	58 1.1×	40 0.9×	7	622
Jon E. Black Netherlands	3	561 1.2×	166 0.8×	38 0.7×	43 0.8×	24 0.5×	4	709
Boon Chong Goh United States	15	558 1.2×	136 0.6×	45 0.8×	59 1.1×	37 0.8×	24	876
John Surr France	5	442 0.9×	231 1.0×	39 0.7×	67 1.3×	38 0.9×	5	627
L. Urbanikova Slovakia	9	540 1.1×	158 0.7×	84 1.5×	70 1.3×	32 0.7×	16	835
Zanxia Cao China	17	511 1.1×	134 0.6×	42 0.8×	31 0.6×	24 0.5×	58	828
Don Engel United States	7	481 1.0×	105 0.5×	62 1.1×	40 0.8×	36 0.8×	23	647

Countries citing papers authored by Clemente Borges

Since Specialization

Citations

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

Fields of papers citing papers by Clemente Borges

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clemente Borges

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

All Works

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5 of 5 papers shown

1.

Macías, José A. & Clemente Borges. (2023). Monitoring and forecasting usability indicators: A business intelligence approach for leveraging user-centered evaluation data. Science of Computer Programming. 234. 103077–103077.

2.

Manalastas-Cantos, Karen, Petr V. Konarev, Nelly R. Hajizadeh, et al.. (2020). ATSAS 3.0: expanded functionality and new tools for small-angle scattering data analysis. Journal of Applied Crystallography. 54(1). 343–355. 581 indexed citations breakdown →

3.

Kikhney, Alexey, Clemente Borges, Dmitry Molodenskiy, Cy M. Jeffries, & Dmitri I. Svergun. (2019). SASBDB: Towards an automatically curated and validated repository for biological scattering data. Protein Science. 29(1). 66–75. 152 indexed citations

4.

Borges, Clemente & José A. Macías. (2014). Facilitating the interaction with data warehouse schemas through a visual web-based approach. Computer Science and Information Systems. 11(2). 481–501. 2 indexed citations

5.

Borges, Clemente & José A. Macías. (2010). Feasible database querying using a visual end-user approach. Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya). 187–192. 16 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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