Amir Shahmoradi

488 total citations
22 papers, 276 citations indexed

About

Amir Shahmoradi is a scholar working on Astronomy and Astrophysics, Hardware and Architecture and Molecular Biology. According to data from OpenAlex, Amir Shahmoradi has authored 22 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Astronomy and Astrophysics, 4 papers in Hardware and Architecture and 3 papers in Molecular Biology. Recurrent topics in Amir Shahmoradi's work include Gamma-ray bursts and supernovae (6 papers), Parallel Computing and Optimization Techniques (4 papers) and Pulsars and Gravitational Waves Research (4 papers). Amir Shahmoradi is often cited by papers focused on Gamma-ray bursts and supernovae (6 papers), Parallel Computing and Optimization Techniques (4 papers) and Pulsars and Gravitational Waves Research (4 papers). Amir Shahmoradi collaborates with scholars based in United States and Germany. Amir Shahmoradi's co-authors include Robert J. Nemiroff, Sharareh Kermanshachi, Jay Michael Rosenberger, Claus O. Wilke, Roya Etminani-Ghasrodashti, Ernesto A. B. F. Lima, Barbara Wohlmuth, Thomas E. Yankeelov, J. Tinsley Oden and David A. Hormuth and has published in prestigious journals such as The Astrophysical Journal, Scientific Reports and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Amir Shahmoradi

21 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amir Shahmoradi United States 11 79 55 49 40 34 22 276
Ximin Liu China 13 175 2.2× 26 0.5× 30 0.6× 1 0.0× 71 2.1× 124 595
Sayan Mukherjee India 13 9 0.1× 3 0.1× 115 2.3× 91 2.3× 1 0.0× 43 422
L. Xu China 7 25 0.3× 8 0.1× 77 1.6× 28 310
David Sarramia France 9 4 0.1× 6 0.1× 81 1.7× 1 0.0× 18 0.5× 19 306
Yaroslav Kholodov Russia 11 2 0.0× 23 0.4× 179 3.7× 43 1.3× 40 390
Xinfeng Liu United States 10 3 0.0× 7 0.1× 88 1.8× 71 1.8× 17 378
Kuen Lee Taiwan 11 3 0.0× 8 0.1× 49 1.0× 62 1.8× 35 330
Tuomo Hartonen Finland 7 2 0.0× 4 0.1× 232 4.7× 4 0.1× 45 1.3× 10 374
Takao Fujimoto Japan 11 2 0.0× 9 0.2× 14 0.3× 48 1.2× 6 0.2× 55 403
Bo Ma China 11 145 1.8× 6 0.1× 21 0.4× 51 357

Countries citing papers authored by Amir Shahmoradi

Since Specialization
Citations

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

Fields of papers citing papers by Amir Shahmoradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Shahmoradi

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Shahmoradi. A scholar is included among the top collaborators of Amir Shahmoradi 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 Amir Shahmoradi. Amir Shahmoradi 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
1.
Shahmoradi, Amir, et al.. (2021). ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
2.
3.
4.
Shahmoradi, Amir, et al.. (2021). Are there radio-loud and radio-quiet gamma-ray bursts?. Monthly Notices of the Royal Astronomical Society. 502(4). 5622–5630. 2 indexed citations
5.
Shahmoradi, Amir, et al.. (2021). ParaMonte - A cross-platform parallel scalable high-performance Monte Carlo optimization, sampling, and integration library in C, C++, Fortran, MATLAB, Python, and R. Bulletin of the American Physical Society. 1 indexed citations
6.
Shahmoradi, Amir, et al.. (2021). How unbiased statistical methods lead to biased scientific discoveries: A case study of the Efron–Petrosian statistic applied to the luminosity-redshift evolution of gamma-ray bursts. Monthly Notices of the Royal Astronomical Society. 504(3). 4192–4203. 15 indexed citations
7.
Shahmoradi, Amir, et al.. (2020). ParaMonte: Parallel Monte Carlo library. Astrophysics Source Code Library. 1 indexed citations
8.
Shahmoradi, Amir, et al.. (2020). A Multilevel Empirical Bayesian Approach to Estimating the Unknown Redshifts of 1366 BATSE Catalog Long-duration Gamma-Ray Bursts. The Astrophysical Journal. 903(1). 33–33. 7 indexed citations
9.
Shahmoradi, Amir, et al.. (2020). Parallel Adapative Monte Carlo Optimization, Sampling, and Integration in C/C++, Fortran, MATLAB, and Python. Bulletin of the American Physical Society. 1 indexed citations
10.
Shahmoradi, Amir. (2019). ParaMonte: A user-friendly parallel Monte Carlo optimization, sampling, and integration library for scientific inference. Bulletin of the American Physical Society. 2019.
11.
Lima, Ernesto A. B. F., Aliçan Özkan, J. Tinsley Oden, et al.. (2018). Calibration of Multi-Parameter Models of Avascular Tumor Growth Using Time Resolved Microscopy Data. Scientific Reports. 8(1). 14558–14558. 13 indexed citations
12.
Lima, Ernesto A. B. F., J. Tinsley Oden, Barbara Wohlmuth, et al.. (2017). Selection and validation of predictive models of radiation effects on tumor growth based on noninvasive imaging data. Computer Methods in Applied Mechanics and Engineering. 327. 277–305. 53 indexed citations
13.
Shahmoradi, Amir. (2016). A Multivariate Fit Luminosity Function And World Model For Long Gamma-Ray Bursts. Texas ScholarWorks (Texas Digital Library). 12 indexed citations
14.
Shahmoradi, Amir, et al.. (2016). Intermediate divergence levels maximize the strength of structure–sequence correlations in enzymes and viral proteins. Protein Science. 25(7). 1341–1353. 4 indexed citations
15.
Shahmoradi, Amir & Claus O. Wilke. (2016). Dissecting the roles of local packing density and longer‐range effects in protein sequence evolution. Proteins Structure Function and Bioinformatics. 84(6). 841–854. 10 indexed citations
16.
Luo, Haishan, et al.. (2015). Numerical simulation of the impact of polymer rheology on polymer injectivity using a multilevel local grid refinement method. Petroleum Science. 13(1). 110–125. 16 indexed citations
17.
Shahmoradi, Amir & Robert J. Nemiroff. (2015). Short versus long gamma-ray bursts: a comprehensive study of energetics and prompt gamma-ray correlations. Monthly Notices of the Royal Astronomical Society. 451(1). 126–143. 40 indexed citations
18.
Shahmoradi, Amir & Robert J. Nemiroff. (2014). Classification and Energetics of Cosmological Gamma-Ray Bursts. AAS. 223. 2 indexed citations
19.
Shahmoradi, Amir, Dariya K. Sydykova, Stephanie J. Spielman, et al.. (2014). Predicting Evolutionary Site Variability from Structure in Viral Proteins: Buriedness, Packing, Flexibility, and Design. Journal of Molecular Evolution. 79(3-4). 130–142. 29 indexed citations
20.
Shahmoradi, Amir, Robert J. Nemiroff, Charles Meegan, C. Kouveliotou, & N. Gehrels. (2009). How Real Detector Thresholds Create False Standard Candles. AIP conference proceedings. 425–427. 9 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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