Saeid Amiri

410 total citations
38 papers, 244 citations indexed

About

Saeid Amiri is a scholar working on Artificial Intelligence, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Saeid Amiri has authored 38 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Statistics and Probability and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Saeid Amiri's work include Advanced Statistical Methods and Models (8 papers), Advanced Statistical Process Monitoring (6 papers) and Reinforcement Learning in Robotics (5 papers). Saeid Amiri is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Advanced Statistical Process Monitoring (6 papers) and Reinforcement Learning in Robotics (5 papers). Saeid Amiri collaborates with scholars based in United States, Canada and Sweden. Saeid Amiri's co-authors include Silvelyn Zwanzig, Shiqi Zhang, Reza Modarres, Dietrich von Rosen, Jennifer Clarke, Bertrand Clarke, Ali Abbasi, Morteza Maghrebi, Jesse Thomason and Ahad Harati and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Saeid Amiri

36 papers receiving 240 citations

Peers

Saeid Amiri

CVPR

SPU

Sania Anam Pakistan

Munmun Biswas Bangladesh

Michael Pearce United Kingdom

Martin S. Krejca Germany

Xingye Qiao United States

Xiaobin Wang China

Maxim Panov Russia

Jingjing Wu Canada

Pablo A. D. Castro Brazil

Sania Anam Pakistan

Saeid Amiri

77 ×1.0

40 ×0.9

37 ×1.1

CVPR

30 ×0.9

SPU

12 ×0.4

Citations per year, relative to Saeid Amiri Saeid Amiri (= 1×) peers Sania Anam

Countries citing papers authored by Saeid Amiri

Since Specialization

Citations

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

Fields of papers citing papers by Saeid Amiri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeid Amiri

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

All Works

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20 of 20 papers shown

Amiri, Saeid, Hossein Hassani, & Saeed Heravi. (2024). An Efficient Variant of Ranked Set Sampling, Probability Proportional to Size with Application to Economic Data. SHILAP Revista de lepidopterología. 53(2). 17–31. 1 indexed citations

Thomas, Rhalena A., et al.. (2024). ScRNAbox: empowering single-cell RNA sequencing on high performance computing systems. BMC Bioinformatics. 25(1). 319–319. 1 indexed citations

Amiri, Saeid & Reza Modarres. (2024). A subspace aggregating algorithm for accurate classification. Computational Statistics. 40(1). 65–86. 1 indexed citations

Bayne, Andrew N., et al.. (2023). MTSviewer: A database to visualize mitochondrial targeting sequences, cleavage sites, and mutations on protein structures. PLoS ONE. 18(4). e0284541–e0284541. 8 indexed citations

Amiri, Saeid, et al.. (2023). Multimodal embodied attribute learning by robots for object-centric action policies. Autonomous Robots. 47(5). 505–528. 3 indexed citations

Ding, Yan, et al.. (2023). Integrating action knowledge and LLMs for task planning and situation handling in open worlds. Autonomous Robots. 47(8). 981–997. 26 indexed citations

Amiri, Saeid, et al.. (2021). The Gaussian multiplicative approximation for state‐space models. Structural Control and Health Monitoring. 29(3). 6 indexed citations

Amiri, Saeid, et al.. (2020). Guided Dyna-Q for Mobile Robot Exploration and Navigation. arXiv (Cornell University). 1 indexed citations

Amiri, Saeid, Mohammad Shokrolah Shirazi, & Shiqi Zhang. (2020). Learning and Reasoning for Robot Sequential Decision Making under Uncertainty. Proceedings of the AAAI Conference on Artificial Intelligence. 34(3). 2726–2733. 14 indexed citations

10.

Amiri, Saeid, Reza Modarres, & Silvelyn Zwanzig. (2016). Tests of perfect judgment ranking using pseudo-samples. Computational Statistics. 32(4). 1309–1322. 4 indexed citations

11.

Amiri, Saeid & Ivo D. Dinov. (2016). Comparison of genomic data via statistical distribution. Journal of Theoretical Biology. 407. 318–327. 4 indexed citations

12.

Ghodsi, Mansi, et al.. (2016). An enhanced version of Cochran-Armitage trend test for genome-wide association studies. Meta Gene. 9. 225–229. 4 indexed citations

13.

Clarke, Bertrand, Saeid Amiri, & Jennifer Clarke. (2016). EnsCat: clustering of categorical data via ensembling. BMC Bioinformatics. 17(1). 380–380. 4 indexed citations

14.

Amiri, Saeid. (2016). Revisiting inference of coefficient of variation: nuisances parameters. Stat. 5(1). 234–241. 2 indexed citations

15.

Amiri, Saeid, Bertrand Clarke, & Jennifer Clarke. (2015). On the efficiency of Hybrid clustering to achieve the clustering. arXiv (Cornell University). 1 indexed citations

16.

Amiri, Saeid. (2013). The resampling of entropies with the application of biodiversity. Journal of Applied Statistics. 41(2). 407–422. 2 indexed citations

17.

Amiri, Saeid & Dietrich von Rosen. (2011). On the efficiency of bootstrap method into the analysis contingency table. Computer Methods and Programs in Biomedicine. 104(2). 182–187. 6 indexed citations

18.

Amiri, Saeid. (2010). A comparison of bootstrap methods for variance estimation. Journal of Statistical Theory and Applications. 2 indexed citations

19.

Amiri, Saeid & Silvelyn Zwanzig. (2010). An Improvement of the Nonparametric Bootstrap Test for the Comparison of the Coefficient of Variations. Communications in Statistics - Simulation and Computation. 39(9). 1726–1734. 16 indexed citations

20.

Hassani, Hossein, et al.. (2009). Does noise reduction matter for curve fitting in growth curve models?. Computer Methods and Programs in Biomedicine. 96(3). 173–181. 18 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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