Saeed Amizadeh

716 total citations · 1 hit paper
16 papers, 439 citations indexed

About

Saeed Amizadeh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Saeed Amizadeh has authored 16 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Saeed Amizadeh's work include Bayesian Methods and Mixture Models (3 papers), Machine Learning and Algorithms (3 papers) and Time Series Analysis and Forecasting (3 papers). Saeed Amizadeh is often cited by papers focused on Bayesian Methods and Mixture Models (3 papers), Machine Learning and Algorithms (3 papers) and Time Series Analysis and Forecasting (3 papers). Saeed Amizadeh collaborates with scholars based in United States, United Kingdom and Switzerland. Saeed Amizadeh's co-authors include Nikolay Laptev, Ian Flint, Markus Weimer, Wangchao Le, Alekh Jindal, Shi Qiao, Chenggang Wu, Hiren Patel, Sriram Rao and Matteo Interlandi and has published in prestigious journals such as Proceedings of the VLDB Endowment, arXiv (Cornell University) and PubMed.

In The Last Decade

Saeed Amizadeh

14 papers receiving 419 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Generic and Scalable Framework for Automated Time-series Anomaly Detection

2015 282 citations Nikolay Laptev, Saeed Amizadeh et al. profile →

Peers

Countries citing papers authored by Saeed Amizadeh

Since Specialization

Citations

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

Fields of papers citing papers by Saeed Amizadeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Amizadeh

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	CorrGAN: Simultaneous Learning of Speech Enhancement and Perceptual Quality Loss Functions 2025 ·(unknown), Saeed Amizadeh, Qiang Ye, Kazuhito Koishida	0
2	WindTunnel 2021 ·Proceedings of the VLDB Endowment ·(unknown), Saeed Amizadeh, Sehoon Kim, Artidoro Pagnoni, Ce Zhang, Byung-Gon Chun, Markus Weimer, Matteo Interlandi	5
3	Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning" 2020 ·arXiv (Cornell University) ·Saeed Amizadeh, Hamid Palangi, Oleksandr Polozov, Yichen Huang, Kazuhito Koishida	11
4	Coded Elastic Computing 2019 ·Yaoqing Yang, Matteo Interlandi, Pulkit Grover, Soummya Kar, Saeed Amizadeh, Markus Weimer	24
5	Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach. 2018 ·International Conference on Learning Representations ·Saeed Amizadeh, (unknown), Markus Weimer	17
6	Towards a learning optimizer for shared clouds 2018 ·Proceedings of the VLDB Endowment ·Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao	56
7	Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series 2015 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Saeed Amizadeh, Nikolay Laptev	22
8	Generic and Scalable Framework for Automated Time-series Anomaly Detection breakdown → 2015 ·Nikolay Laptev, Saeed Amizadeh, Ian Flint	282
9	The Bregman Variational Dual-Tree Framework 2013 ·VBN Forskningsportal (Aalborg Universitet) ·Saeed Amizadeh, Bo Thiesson, Miloš Hauskrecht	0
10	Sampling Strategies to Evaluate the Performance of Unknown Predictors 2012 ·PubMed ·Hamed Valizadegan, Saeed Amizadeh, Miloš Hauskrecht	2
11	Factorized Diffusion Map Approximation. 2012 ·PubMed ·Saeed Amizadeh, Hamed Valizadegan, Miloš Hauskrecht	2
12	Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation 2012 ·arXiv (Cornell University) ·Saeed Amizadeh, Bo Thiesson, Miloš Hauskrecht	1
13	Interactive Learning in Continuous Multimodal Space: A Bayesian Approach to Action-Based Soft Partitioning and Learning 2011 ·(unknown), Majid Nili Ahmadabadi, Babak Nadjar Araabi, Saeed Amizadeh, Maryam S. Mirian, Roland Siegwart	7
14	An Efficient Framework for Constructing Generalized Locally-Induced Text Metrics. 2011 ·PubMed ·Saeed Amizadeh, Shuguang Wang, Miloš Hauskrecht	3
15	Latent Variable Model for Learning in Pairwise Markov Networks 2010 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Saeed Amizadeh, Miloš Hauskrecht	3
16	A Bayesian approach to conceptualization using reinforcement learning 2007 ·Saeed Amizadeh, Majid Nili Ahmadabadi, Babak Nadjar Araabi, Roland Siegwart	4

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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