Ariel Berenstein

547 total citations
20 papers, 288 citations indexed

About

Ariel Berenstein is a scholar working on Molecular Biology, Epidemiology and Statistical and Nonlinear Physics. According to data from OpenAlex, Ariel Berenstein has authored 20 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Epidemiology and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Ariel Berenstein's work include Computational Drug Discovery Methods (3 papers), Complex Network Analysis Techniques (3 papers) and Bioinformatics and Genomic Networks (3 papers). Ariel Berenstein is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Complex Network Analysis Techniques (3 papers) and Bioinformatics and Genomic Networks (3 papers). Ariel Berenstein collaborates with scholars based in Argentina, Spain and Switzerland. Ariel Berenstein's co-authors include Ariel Chernomoretz, Massimo Andreatta, Santiago J. Carmona, Fernán Agüero, María Paula Magariños, María Victoria Preciado, Laura I. Furlong, Janet Piñero, Mario Alejandro Lorenzetti and Abel González-Pérez and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Ariel Berenstein

20 papers receiving 281 citations

Peers

Ariel Berenstein
Comparison fields: 5 of 81
  • Molecular Biology 142
  • Epidemiology 69
  • Public Health, Environmental and Occupational Health 43
  • Oncology 41
  • Organic Chemistry 36
Replace Ming-Jie Huang with:
Ming-Jie Huang China
Shahnawaz Ali India
Tomoyo Sakata‐Kato United States
Shuye Tian China
Shalini Singh India
Pablo Ríos‐Marco Spain
Rena McKinnon United States
Osmany Guirola Cuba
Andrew Woodland United Kingdom
Stefan O. Ochiana United States
Ming-Jie Huang China View profile →
Citations per field, relative to Ariel Berenstein
Ariel Berenstein · 1×
Citations per year, relative to Ariel Berenstein
Ariel Berenstein · 1×

Countries citing papers authored by Ariel Berenstein

Since Specialization
Citations

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

Fields of papers citing papers by Ariel Berenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ariel Berenstein

This figure shows the co-authorship network connecting the top 25 collaborators of Ariel Berenstein. A scholar is included among the top collaborators of Ariel Berenstein 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 Ariel Berenstein. Ariel Berenstein 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
# Work Indexed citations
1 13
2 38
3 4
4 7
5 14
6 11
7 20
8 8
9 6
10 36
11 13
12 5
13 4
14
Inference of Socioeconomic Status in a Communication Graph
1
15 25
16 33
17 8
18 30
19 5
20 7

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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