Ehsan Hajiramezanali

465 total citations
8 papers, 96 citations indexed

About

Ehsan Hajiramezanali is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ehsan Hajiramezanali has authored 8 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ehsan Hajiramezanali's work include Advanced Graph Neural Networks (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Single-cell and spatial transcriptomics (2 papers). Ehsan Hajiramezanali is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Single-cell and spatial transcriptomics (2 papers). Ehsan Hajiramezanali collaborates with scholars based in United States and Japan. Ehsan Hajiramezanali's co-authors include Xiaoning Qian, Mingyuan Zhou, Krishna R. Narayanan, Nick Duffield, Alireza Karbalayghareh, Ulisses Braga-Neto, Edward R. Dougherty, Mahdi Imani, Amir Esmalian and Ali Akbari and has published in prestigious journals such as BMC Genomics, Ethics and Information Technology and arXiv (Cornell University).

In The Last Decade

Ehsan Hajiramezanali

8 papers receiving 93 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ehsan Hajiramezanali United States	6	58	18	15	11	11	8	96
Peter Bloem Netherlands	6	47 0.8×	20 1.1×	8 0.5×	12 1.1×	10 0.9×	9	86
Ines Chami United States	3	72 1.2×	17 0.9×	7 0.5×	19 1.7×	13 1.2×	6	111
Liang Hou China	5	68 1.2×	20 1.1×	35 2.3×	13 1.2×	35 3.2×	13	119
Seyed Mehran Kazemi Canada	6	139 2.4×	16 0.9×	18 1.2×	18 1.6×	17 1.5×	15	154
Chulaka Gunasekara United States	8	153 2.6×	4 0.2×	25 1.7×	9 0.8×	21 1.9×	20	182
Natthawut Kertkeidkachorn Japan	6	151 2.6×	21 1.2×	7 0.5×	36 3.3×	19 1.7×	31	178
Shuofei Qiao China	7	149 2.6×	8 0.4×	5 0.3×	27 2.5×	25 2.3×	12	200
Honglun Zhang China	7	209 3.6×	7 0.4×	12 0.8×	28 2.5×	47 4.3×	11	242
Christopher Fifty United States	2	100 1.7×	13 0.7×	33 2.2×	31 2.8×	28 2.5×	2	117

Countries citing papers authored by Ehsan Hajiramezanali

Since Specialization

Citations

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

Fields of papers citing papers by Ehsan Hajiramezanali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehsan Hajiramezanali

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

All Works

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8 of 8 papers shown

1.

Afroogh, Saleh, et al.. (2022). Tracing app technology: an ethical review in the COVID-19 era and directions for post-COVID-19. Ethics and Information Technology. 24(3). 30–30. 12 indexed citations

2.

Hajiramezanali, Ehsan, et al.. (2020). Bayesian Graph Neural Networks with Adaptive Connection Sampling. International Conference on Machine Learning. 1. 4094–4104. 16 indexed citations

3.

Hajiramezanali, Ehsan, et al.. (2020). Semi-Implicit Stochastic Recurrent Neural Networks. 3342–3346. 1 indexed citations

4.

Hajiramezanali, Ehsan, et al.. (2019). Variational Graph Recurrent Neural Networks. Neural Information Processing Systems. 32. 10700–10710. 13 indexed citations

5.

Hajiramezanali, Ehsan, et al.. (2019). Semi-Implicit Graph Variational Auto-Encoders. arXiv (Cornell University). 32. 10712–10723. 18 indexed citations

6.

Hajiramezanali, Ehsan, Mahdi Imani, Ulisses Braga-Neto, Xiaoning Qian, & Edward R. Dougherty. (2019). Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty. BMC Genomics. 20(S6). 435–435. 16 indexed citations

7.

Hajiramezanali, Ehsan, Mahdi Imani, Ulisses Braga-Neto, Xiaoning Qian, & Edward R. Dougherty. (2018). Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty. 596–597. 1 indexed citations

8.

Hajiramezanali, Ehsan, et al.. (2018). Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data. arXiv (Cornell University). 31. 9115–9124. 19 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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