Ehsan Shareghi
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Machine Learning in Healthcare
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Speech Recognition and Synthesis
- Health Informatics top 10%
Papers in
-
- Topic Modeling 23
- Natural Language Processing Techniques 14
- Speech Recognition and Synthesis 7
- Algorithms and Data Compression 3
- Logic, Reasoning, and Knowledge 3
- Explainable Artificial Intelligence (XAI) 2
-
- Multimodal Machine Learning Applications 3
- Co-authors
- Nigel Collier (13 shared papers)Fangyu Liu (6 shared papers)Zaiqiao Meng (5 shared papers)Marco Basaldella (2 shared papers)Gholamreza Haffari (13 shared papers)Trevor Cohn (6 shared papers)Yixuan Su (4 shared papers)Wray Buntine (5 shared papers)
- Journals
- Artificial Intelligence and Law (1 paper)Lecture notes in computer science (2 papers)International Joint Conference on Artificial Intelligence (1 paper)Workshop on Noisy User-generated Text (W-NUT) (1 paper)Workshop on Representation Learning for NLP (RepL4NLP) (2 papers)
- Partner nations
- AustraliaUnited KingdomIsrael
In The Last Decade
Ehsan Shareghi
38 papers receiving 457 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 316
- Health Informatics 20
- Molecular Biology 138
- Computer Vision and Pattern Recognition 33
- Information Systems 26
Countries citing papers authored by Ehsan Shareghi
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
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-authors
The 25 scholars most cited alongside Ehsan Shareghi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 205 | |
| 2 | 2022 | 32 | |
| 3 | 2021 | 29 | |
| 4 | 2019 | 19 | |
| 5 | 2021 | 18 | |
| 6 | 2024 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2016 | 14 | |
| 9 | 2015 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 8 | |
| 12 | CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity | 2013 | 6 |
| 13 | 2015 | 6 | |
| 14 | 2016 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2013 | 4 | |
| 20 | 2017 | 4 |
About Ehsan Shareghi
Ehsan Shareghi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Signal Processing and Philosophy, having authored 44 papers that have together received 467 indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Natural Language Processing Techniques (14 papers), Speech Recognition and Synthesis (7 papers), Biomedical Text Mining and Ontologies (4 papers), Algorithms and Data Compression (3 papers), Multimodal Machine Learning Applications (3 papers), Logic, Reasoning, and Knowledge (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Artificial Intelligence (316 citations), Health Informatics (20 citations), Molecular Biology (138 citations), Computer Vision and Pattern Recognition (33 citations) and Information Systems (26 citations). Ehsan Shareghi has collaborated with scholars based in Australia, United Kingdom and Israel. Frequent co-authors include Nigel Collier, Fangyu Liu, Zaiqiao Meng, Marco Basaldella, Gholamreza Haffari, Trevor Cohn, Yixuan Su, Wray Buntine, Anna Korhonen and Ivan Vulić. Their work appears in journals such as Artificial Intelligence and Law, Lecture notes in computer science, International Joint Conference on Artificial Intelligence, Workshop on Noisy User-generated Text (W-NUT) and Workshop on Representation Learning for NLP (RepL4NLP).
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.