Osvaldo A. Martin

2.3k total citations · 2 hit papers
33 papers, 1.1k citations indexed

About

Osvaldo A. Martin is a scholar working on Molecular Biology, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Osvaldo A. Martin has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Materials Chemistry and 7 papers in Artificial Intelligence. Recurrent topics in Osvaldo A. Martin's work include Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (10 papers) and RNA and protein synthesis mechanisms (6 papers). Osvaldo A. Martin is often cited by papers focused on Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (10 papers) and RNA and protein synthesis mechanisms (6 papers). Osvaldo A. Martin collaborates with scholars based in Argentina, United States and Finland. Osvaldo A. Martin's co-authors include Ravin Kumar, Ari Hartikainen, Jorge A. Vila, Harold A. Scheraga, Igal Szleifer, Kevin Baler, Guillermo A. Ameer, Marcelo A. Carignano, Oriol Abril and Yelena A. Arnautova and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Osvaldo A. Martin

32 papers receiving 1.1k 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.

ArviZ a unified library for exploratory analysis of Bayesian models in Python

2019 330 citations Ravin Kumar, Ari Hartikainen et al. The Journal of Open Source Software profile →
PyMC: a modern, and comprehensive probabilistic programming framework in Python

2023 244 citations Oriol Abril, Virgile Andreani et al. PeerJ Computer Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Osvaldo A. Martin Argentina	15	346	152	134	91	81	33	1.1k
Julian Lee South Korea	19	544 1.6×	98 0.6×	148 1.1×	78 0.9×	25 0.3×	73	1.7k
Christopher Rackauckas United States	13	220 0.6×	69 0.5×	60 0.4×	161 1.8×	66 0.8×	44	1.3k
Yen‐Chi Chen United States	21	147 0.4×	177 1.2×	199 1.5×	198 2.2×	48 0.6×	66	1.5k
Victor Hazlewood United States	7	467 1.3×	133 0.9×	599 4.5×	124 1.4×	90 1.1×	16	2.6k
Umberto Lucia Italy	30	435 1.3×	100 0.7×	187 1.4×	68 0.7×	57 0.7×	153	2.8k
Mark K. Transtrum United States	18	384 1.1×	30 0.2×	87 0.6×	125 1.4×	32 0.4×	93	1.4k
Leon Arriola United States	4	217 0.6×	77 0.5×	94 0.7×	60 0.7×	30 0.4×	10	1.1k
Lloyd Demetrius United States	35	916 2.6×	125 0.8×	48 0.4×	38 0.4×	136 1.7×	90	2.8k
B. I. Henry Australia	27	307 0.9×	23 0.2×	100 0.7×	45 0.5×	58 0.7×	111	3.2k
Birgit Schmidt Germany	12	146 0.4×	203 1.3×	49 0.4×	108 1.2×	26 0.3×	45	1.3k

Countries citing papers authored by Osvaldo A. Martin

Since Specialization

Citations

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

Fields of papers citing papers by Osvaldo A. Martin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Osvaldo A. Martin. 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 Osvaldo A. Martin. The network helps show where Osvaldo A. Martin may publish in the future.

Co-authorship network of co-authors of Osvaldo A. Martin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Abril, Oriol, et al.. (2023). PreliZ: A tool-box for prior elicitation. The Journal of Open Source Software. 8(89). 5499–5499. 3 indexed citations

Abril, Oriol, Virgile Andreani, Christopher Fonnesbeck, et al.. (2023). PyMC: a modern, and comprehensive probabilistic programming framework in Python. PeerJ Computer Science. 9. e1516–e1516. 244 indexed citations breakdown →

Martin, Osvaldo A., Oriol Abril, Owen Thomas, et al.. (2023). Prior Knowledge Elicitation: The Past, Present, and Future. Bayesian Analysis. 19(4). 28 indexed citations

Vila, Jorge A., et al.. (2021). Exploring the quality of protein structural models from a Bayesian perspective. Journal of Computational Chemistry. 42(21). 1466–1474. 1 indexed citations

Martin, Osvaldo A., et al.. (2020). Assessing the One-Bond C_α–H Spin–Spin Coupling Constants in Proteins: Pros and Cons of Different Approaches. The Journal of Physical Chemistry B. 124(5). 735–741. 2 indexed citations

Szleifer, Igal, et al.. (2019). Classification of RNA backbone conformations into rotamers using ¹³ C′ chemical shifts: exploring how far we can go. PeerJ. 7. e7904–e7904. 4 indexed citations

Baldi, Germán, Marcos Texeira, Sofía Marinaro, et al.. (2019). Nature representation in South American protected areas: country contrasts and conservation priorities. PeerJ. 7. e7155–e7155. 20 indexed citations

Kumar, Ravin, et al.. (2019). ArviZ a unified library for exploratory analysis of Bayesian models in Python. The Journal of Open Source Software. 4(33). 1143–1143. 330 indexed citations breakdown →

Alonso, José M., et al.. (2018). Finite Dimension: A Mathematical Tool to Analise Glycans. Scientific Reports. 8(1). 4426–4426. 1 indexed citations

10.

Baldi, Germán, Marcos Texeira, Osvaldo A. Martin, H. Ricardo Grau, & Estéban G. Jobbágy. (2017). Opportunities drive the global distribution of protected areas. PeerJ. 5. e2989–e2989. 63 indexed citations

11.

Martin, Osvaldo A., et al.. (2016). Detection of methylation, acetylation and glycosylation of protein residues by monitoring ¹³ C chemical-shift changes: A quantum-chemical study. PeerJ. 4. e2253–e2253. 5 indexed citations

12.

Vila, Jorge A., et al.. (2016). Azahar: a PyMOL plugin for construction, visualization and analysis of glycan molecules. Journal of Computer-Aided Molecular Design. 30(8). 619–624. 27 indexed citations

13.

Martin, Osvaldo A.. (2016). Bayesian analysis with Python unleash the power and flexibility of the Bayesian framework. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations

14.

Baler, Kevin, Osvaldo A. Martin, Marcelo A. Carignano, et al.. (2014). Electrostatic Unfolding and Interactions of Albumin Driven by pH Changes: A Molecular Dynamics Study. The Journal of Physical Chemistry B. 118(4). 921–930. 158 indexed citations

15.

Maisuradze, Gia G., et al.. (2014). Accounting for a mirror-image conformation as a subtle effect in protein folding. Proceedings of the National Academy of Sciences. 111(23). 8458–8463. 19 indexed citations

16.

Martin, Osvaldo A., et al.. (2013). Physics-based method to validate and repair flaws in protein structures. Proceedings of the National Academy of Sciences. 110(42). 16826–16831. 12 indexed citations

17.

Martin, Osvaldo A., Pablo C. Echeverría, Natalia de Miguel, et al.. (2011). Toxoplasma gondii Sis1-like J-domain protein is a cytosolic chaperone associated to HSP90/HSP70 complex. International Journal of Biological Macromolecules. 50(3). 725–733. 14 indexed citations

18.

Martin, Osvaldo A., et al.. (2011). In silico study of the inhibition of DNA polymerase by a novel catalpol derivative. Journal of Molecular Modeling. 17(10). 2717–2723. 9 indexed citations

19.

Arnautova, Yelena A., Jorge A. Vila, Osvaldo A. Martin, & Harold A. Scheraga. (2009). What can we learn by computing¹³C^αchemical shifts for X-ray protein models?. Acta Crystallographica Section D Biological Crystallography. 65(7). 697–703. 17 indexed citations

20.

Martin, Osvaldo A., et al.. (2009). Three-dimensional studies of pathogenic peptides from the c-terminal of Trypanosoma cruziribosomal P proteins and their interaction with a monoclonal antibody structural model. PubMed. 2(1). 4–4. 3 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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