Andrei Pătraşcu

759 total citations
35 papers, 427 citations indexed

About

Andrei Pătraşcu is a scholar working on Artificial Intelligence, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, Andrei Pătraşcu has authored 35 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Computational Mechanics and 13 papers in Numerical Analysis. Recurrent topics in Andrei Pătraşcu's work include Sparse and Compressive Sensing Techniques (16 papers), Stochastic Gradient Optimization Techniques (15 papers) and Advanced Optimization Algorithms Research (13 papers). Andrei Pătraşcu is often cited by papers focused on Sparse and Compressive Sensing Techniques (16 papers), Stochastic Gradient Optimization Techniques (15 papers) and Advanced Optimization Algorithms Research (13 papers). Andrei Pătraşcu collaborates with scholars based in Romania, Italy and Brazil. Andrei Pătraşcu's co-authors include Ion Necoara, Marius Andruh, Stéphane Soriano, Maria G. F. Vaz, Rafael A. Allão Cassaro, Federico Totti, Matteo Briganti, Carmen Tiseanu, Daniel Avram and Peter Richtárik and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Chemical Communications.

In The Last Decade

Andrei Pătraşcu

34 papers receiving 412 citations

Peers

Andrei Pătraşcu
Comparison fields: 5 of 67
  • Materials Chemistry 141
  • Computational Mechanics 140
  • Artificial Intelligence 123
  • Electronic, Optical and Magnetic Materials 118
  • Numerical Analysis 96
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Citations per field, relative to Andrei Pătraşcu
Andrei Pătraşcu · 1×
Citations per year, relative to Andrei Pătraşcu
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Countries citing papers authored by Andrei Pătraşcu

Since Specialization
Citations

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

Fields of papers citing papers by Andrei Pătraşcu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrei Pătraşcu

This figure shows the co-authorship network connecting the top 25 collaborators of Andrei Pătraşcu. A scholar is included among the top collaborators of Andrei Pătraşcu 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 Andrei Pătraşcu. Andrei Pătraşcu 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 1
2 4
3 3
4 2
5 4
6 13
7 10
8 23
9 1
10 1
11 14
12
Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization
24
13 15
14 14
15 13
16 11
17 1
18
Random coordinate descent methods for $\ell_0$ regularized convex optimization
3
19 1
20 48

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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