Alen Alexanderian

606 citations
38 papers · 365 indexed · h-index 10

Alen Alexanderian

37 papers receiving 348 citations

Peers

Alen Alexanderian
Comparison fields: 5 of 68
  • Statistics, Probability and Uncertainty 146
  • Modeling and Simulation 38
  • Statistical and Nonlinear Physics 44
  • Computational Theory and Mathematics 55
  • Oceanography 34
Replace A. McD. Mercer with:
A. McD. Mercer Canada
Manas K. Deb Canada
Simon L. Cotter United Kingdom
Saulo Pomponet Oliveira Brazil
Claudia Schillings Germany
G. A. Mikhaı̆lov Russia
Yanhua Cao China
A. K. Alekseev Russia
Kristian B. Ølgaard Denmark
Harbir Antil United States
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Citations per field
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Citations per year

Countries citing papers authored by Alen Alexanderian

Since Specialization
Citations

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

Fields of papers citing papers by Alen Alexanderian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Alen Alexanderian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alen Alexanderian Line = papers co-authored together Alen Alexanderian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20241
3 20241
4 20241
5 20224
6 20222
7 20210
8 20217
9 20213
10
Optimal Experimental Design for Bayesian Inverse Problems Governed by PDEs: A Review
20204
11 20201
12 20203
13 20169
14 20153
15
JHelioviewer: Visualization software for solar physics data
20131
16
On continuous dependence of roots of polynomials on coefficients
20133
17 201134
18 201126
19 20101
20
Helioviewer.org: Browsing Very Large Image Archives Online Using JPEG 2000
20091

About Alen Alexanderian

Alen Alexanderian is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 38 papers that have together received 365 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (20 papers), Model Reduction and Neural Networks (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Gaussian Processes and Bayesian Inference (5 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Advanced Mathematical Modeling in Engineering (4 papers), Groundwater flow and contamination studies (3 papers) and Ultrasound Imaging and Elastography (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (146 citations), Modeling and Simulation (38 citations) and Statistical and Nonlinear Physics (44 citations). Alen Alexanderian has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Mohamed Iskandarani, Arvind K. Saibaba, Omar Knio, Olivier Le Maı̂tre, W. C. Thacker, Ashwanth Srinivasan, Justin Winokur, Ihab Sraj, Habib N. Najm and Omar M. Knio. Their work appears in journals such as International Journal for Uncertainty Quantification, Journal of Scientific Computing, Inverse Problems, Monthly Weather Review and Journal of Biomechanical Engineering.

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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