Ehsan Shareghi

765 total citations
33 papers, 335 citations indexed

About

Ehsan Shareghi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ehsan Shareghi has authored 33 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Ehsan Shareghi's work include Natural Language Processing Techniques (25 papers), Topic Modeling (23 papers) and Speech Recognition and Synthesis (10 papers). Ehsan Shareghi is often cited by papers focused on Natural Language Processing Techniques (25 papers), Topic Modeling (23 papers) and Speech Recognition and Synthesis (10 papers). Ehsan Shareghi collaborates with scholars based in Australia, United Kingdom and United States. Ehsan Shareghi's co-authors include Nigel Collier, Zaiqiao Meng, Fangyu Liu, Marco Basaldella, Gholamreza Haffari, Trevor Cohn, Anna Korhonen, Yixuan Su, Roi Reichart and Ivan Vulić and has published in prestigious journals such as Minerva Access (University of Melbourne), Monash University Research Portal (Monash University) and Griffith Research Online (Griffith University, Queensland, Australia).

In The Last Decade

Ehsan Shareghi

31 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ehsan Shareghi Australia	9	309	108	41	14	11	33	335
Valentin Malykh Russia	7	200 0.6×	64 0.6×	21 0.5×	20 1.4×	10 0.9×	39	249
Shikhar Vashishth India	7	207 0.7×	49 0.5×	20 0.5×	13 0.9×	15 1.4×	13	229
Marco Basaldella Italy	6	187 0.6×	122 1.1×	10 0.2×	16 1.1×	9 0.8×	13	221
Egoitz Laparra Spain	12	405 1.3×	72 0.7×	20 0.5×	40 2.9×	19 1.7×	36	436
Mourad Sarrouti United States	11	240 0.8×	121 1.1×	42 1.0×	39 2.8×	15 1.4×	23	286
Sam Thomson United States	9	592 1.9×	49 0.5×	102 2.5×	45 3.2×	9 0.8×	19	621
Sunil Mohan United States	7	120 0.4×	73 0.7×	19 0.5×	35 2.5×	11 1.0×	9	183
Anne-Lyse Minard France	6	218 0.7×	59 0.5×	13 0.3×	22 1.6×	29 2.6×	13	240
Takashi Ninomiya Japan	13	339 1.1×	113 1.0×	56 1.4×	16 1.1×	10 0.9×	48	380
Emmanuel Morin France	10	226 0.7×	36 0.3×	14 0.3×	27 1.9×	4 0.4×	40	251

Countries citing papers authored by Ehsan Shareghi

Since Specialization

Citations

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

Fields of papers citing papers by Ehsan Shareghi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehsan Shareghi

This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Shareghi. A scholar is included among the top collaborators of Ehsan Shareghi 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 Shareghi. Ehsan Shareghi 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

Collier, Nigel, et al.. (2024). PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs. 6702–6718. 10 indexed citations

Shareghi, Ehsan, et al.. (2024). Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation. 6942–6959. 3 indexed citations

Buntine, Wray, et al.. (2024). Towards Uncertainty-Aware Language Agent. 6662–6685. 1 indexed citations

Shareghi, Ehsan, et al.. (2024). Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance. 90–103. 1 indexed citations

Haffari, Gholamreza, et al.. (2023). Generating Synthetic Speech from SpokenVocab for Speech Translation. 1975–1981. 1 indexed citations

Haffari, Gholamreza, et al.. (2023). Investigating Pre-trained Audio Encoders in the Low-Resource Condition. Monash University Research Portal (Monash University). 1498–1502.

He, Xuanli, et al.. (2023). Koala: An Index for Quantifying Overlaps with Pre-training Corpora. 90–98. 1 indexed citations

Su, Yixuan, et al.. (2022). Plug-and-Play Recipe Generation with Content Planning. Monash University Research Portal (Monash University). 223–234. 1 indexed citations

Su, Yixuan, Fangyu Liu, Zaiqiao Meng, et al.. (2022). TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. 2497–2507. 18 indexed citations

10.

Hao, Yang, et al.. (2022). Self-supervised Rewiring of Pre-trained Speech Encoders:Towards Faster Fine-tuning with Less Labels in Speech Processing. 1952–1959. 1 indexed citations

11.

Shareghi, Ehsan, et al.. (2022). Self-supervised Graph Masking Pre-training for Graph-to-Text Generation. 4845–4853. 7 indexed citations

12.

Hao, Yang, et al.. (2022). M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation. Interspeech 2022. 111–115. 8 indexed citations

13.

Liu, Fangyu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, & Nigel Collier. (2021). Self-Alignment Pretraining for Biomedical Entity Representations. 4228–4238. 144 indexed citations

14.

Zhao, Jinming, Philip Arthur, Gholamreza Haffari, Trevor Cohn, & Ehsan Shareghi. (2021). It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6707–6715. 2 indexed citations

15.

Zhao, Mengjie, Yi Zhu, Ehsan Shareghi, et al.. (2021). A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters. 5751–5767. 23 indexed citations

16.

Clark, Thomas A., et al.. (2021). Integrating Transformers and Knowledge Graphs for Twitter Stance Detection. Monash University Research Portal (Monash University). 304–312. 6 indexed citations

17.

Li, Yingzhen, et al.. (2020). Hierarchical Sparse Variational Autoencoder for Text Encoding.. arXiv (Cornell University). 1 indexed citations

18.

Zhao, Mengjie, Yi Zhu, Ehsan Shareghi, et al.. (2020). A Closer Look at Few-Shot Crosslingual Transfer: Variance, Benchmarks and Baselines.. arXiv (Cornell University). 2 indexed citations

19.

Shareghi, Ehsan, Matthias Petri, Gholamreza Haffari, & Trevor Cohn. (2017). Fast, Small and Exact: Infinite-order Language Modeling with Compressed Suffix Trees. Minerva Access (University of Melbourne). 6 indexed citations

20.

Shareghi, Ehsan, Gholamreza Haffari, & Trevor Cohn. (2017). Compressed Nonparametric Language Modelling. Monash University Research Portal (Monash University). 2701–2707. 2 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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