Ehsan Shareghi
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Machine Learning in Healthcare
- Advanced Graph Neural Networks
- Speech Recognition and Synthesis
Papers in
-
- Natural Language Processing Techniques 29
- Topic Modeling 26
- Speech Recognition and Synthesis 12
- Semantic Web and Ontologies 4
- Advanced Text Analysis Techniques 3
- Algorithms and Data Compression 3
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- Multimodal Machine Learning Applications 5
- Co-authors
- Nigel Collier (10 shared papers)Zaiqiao Meng (5 shared papers)Fangyu Liu (5 shared papers)Marco Basaldella (1 shared paper)Gholamreza Haffari (13 shared papers)Trevor Cohn (6 shared papers)Anna Korhonen (5 shared papers)Yixuan Su (4 shared papers)
- Journals
- Artificial Intelligence and Law (1 paper)Lecture notes in computer science (2 papers)Interspeech 2022 (1 paper)Monash University Research Portal (Monash University) (8 papers)Minerva Access (University of Melbourne) (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Ehsan Shareghi
35 papers receiving 404 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 351
- Health Informatics 6
- Computer Vision and Pattern Recognition 49
- Molecular Biology 109
- Health Information Management 7
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 179 | |
| 2 | 2008 | 38 | |
| 3 | 2021 | 26 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 17 | |
| 6 | 2022 | 16 | |
| 7 | 2024 | 14 | |
| 8 | 2017 | 13 | |
| 9 | 2015 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 7 | |
| 12 | CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity | 2013 | 6 |
| 13 | 2021 | 6 | |
| 14 | 2015 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2013 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2017 | 3 |
About Ehsan Shareghi
Ehsan Shareghi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology and Information Systems, having authored 41 papers that have together received 416 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (29 papers), Topic Modeling (26 papers), Speech Recognition and Synthesis (12 papers), Multimodal Machine Learning Applications (5 papers), Semantic Web and Ontologies (4 papers), Advanced Text Analysis Techniques (3 papers), Music and Audio Processing (3 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Artificial Intelligence (351 citations), Health Informatics (6 citations), Computer Vision and Pattern Recognition (49 citations), Molecular Biology (109 citations) and Health Information Management (7 citations). Ehsan Shareghi has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Nigel Collier, Zaiqiao Meng, Fangyu Liu, Marco Basaldella, Gholamreza Haffari, Trevor Cohn, Anna Korhonen, Yixuan Su, Matthias Petri and Wray Buntine. Their work appears in journals such as Artificial Intelligence and Law, Lecture notes in computer science, Interspeech 2022, Monash University Research Portal (Monash University) and Minerva Access (University of Melbourne).
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.