Hany Hassan
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Molecular Biology
- Language and Linguistics
- Co-authors
- Andy WayKhalil Sima’anArul MenezesSalim RoukosKishore PapineniYoung‐Suk LeeYanjun MaAhmed Hassan Awadallah
- Topics
- Natural Language Processing Techniques (30 papers)Topic Modeling (28 papers)Text Readability and Simplification (8 papers)
- Journals
- Research in Veterinary ScienceMachine TranslationEdinburgh Research Explorer (University of Edinburgh)
- Partner nations
- United StatesEgyptUnited Kingdom
In The Last Decade
Hany Hassan
35 papers receiving 492 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 568
- Computer Vision and Pattern Recognition 121
- Information Systems 49
- Molecular Biology 40
- Language and Linguistics 19
Countries citing papers authored by Hany Hassan
This map shows the geographic impact of Hany Hassan'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 Hany Hassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hany Hassan more than expected).
Fields of papers citing papers by Hany Hassan
This network shows the impact of papers produced by Hany Hassan. 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 Hany Hassan. The network helps show where Hany Hassan may publish in the future.
Co-authorship network of co-authors of Hany Hassan
This figure shows the co-authorship network connecting the top 25 collaborators of Hany Hassan. A scholar is included among the top collaborators of Hany Hassan 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 Hany Hassan. Hany Hassan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 19 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | Zero-Resource Multilingual Model Transfer: Learning What to Share | 8 |
| 10 | Synthetic Spoken Data for Neural Machine Translation. | 2 |
| 11 | Social Text Normalization using Contextual Graph Random Walks | 41 |
| 12 | MSR-FBK IWSLT 2013 SLT System Description | 2 |
| 13 | Lexicalized Semi-Incremental Dependency Parsing | 6 |
| 14 | Language Independent Text Correction using Finite State Automata. | 30 |
| 15 | Exploiting Alignment Techniques in MATREX: the DCU Machine Translation System for IWSLT 2008 | 8 |
| 16 | Supertagged Phrase-Based Statistical Machine Translation | 45 |
| 17 | MaTrEx: the DCU Machine Translation System for IWSLT 2007 | 46 |
| 18 | 24 | |
| 19 | 18 | |
| 20 | 17 |
About Hany Hassan
Hany Hassan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 39 papers that have together received 596 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (30 papers), Topic Modeling (28 papers) and Text Readability and Simplification (8 papers). The work is most often cited by research in Artificial Intelligence (568 citations), Computer Vision and Pattern Recognition (121 citations) and Human-Computer Interaction (13 citations). Hany Hassan has collaborated with scholars based in United States, Egypt and United Kingdom. Frequent co-authors include Andy Way, Khalil Sima’an, Arul Menezes, Salim Roukos, Kishore Papineni, Young‐Suk Lee, Yanjun Ma, Ahmed Hassan Awadallah, ChengXiang Zhai and Yi-Ren Wang. Their work appears in journals such as Research in Veterinary Science, Machine Translation and Edinburgh Research Explorer (University of Edinburgh).
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.