Michael Paul
- Artificial Intelligence top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Oncology
- Biomedical Engineering
- Co-authors
- Kalina HristovaMark DredzeEiichiro SumitaMarcello FedericoAndrew FinchLuisa BentivogliElena B. PasqualeSebastian Stüker
- Topics
- Natural Language Processing Techniques (42 papers)Topic Modeling (36 papers)Speech and dialogue systems (15 papers)
- Journals
- Chemical ReviewsProceedings of the National Academy of SciencesJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Michael Paul
60 papers receiving 817 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 457
- Molecular Biology 240
- Cellular and Molecular Neuroscience 162
- Oncology 62
- Biomedical Engineering 58
Countries citing papers authored by Michael Paul
This map shows the geographic impact of Michael Paul'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 Michael Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Paul more than expected).
Fields of papers citing papers by Michael Paul
This network shows the impact of papers produced by Michael Paul. 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 Michael Paul. The network helps show where Michael Paul may publish in the future.
Co-authorship network of co-authors of Michael Paul
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Paul. A scholar is included among the top collaborators of Michael Paul 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 Michael Paul. Michael Paul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 26 | |
| 5 | 34 | |
| 6 | 32 | |
| 7 | 44 | |
| 8 | Translation Quality Indicators for Pivot-based Statistical MT | 4 |
| 9 | The NICT translation system for IWSLT 2010. | 2 |
| 10 | Integration of Multiple Bilingually-Learned Segmentation Schemes into Statistical Machine Translation | 6 |
| 11 | Multilingual Mobile-Phone Translation Services for World Travelers | 9 |
| 12 | Improving statistical machine translation by paraphrasing the training data. | 21 |
| 13 | Reducing human assessment of machine translation quality to binary classifiers. | 7 |
| 14 | The NICT/ATR Speech Translation System for IWSLT 2007 | 11 |
| 15 | The niCT-ATR statistical machine translation system for the IWSLT 2006 evaluation. | 13 |
| 16 | Nobody is Perfect: ATR's Hybrid Approach to Spoken Language Translation | 17 |
| 17 | Overview of the IWSLT04 Evaluation Campaign | 48 |
| 18 | Open Evaluation Campaign of Multilingual Machine Translation Technology : International Workshop on Spoken Language Translation (IWSLT2004) | 0 |
| 19 | Towards Innovative Evaluation Methodologies for Speech Translation | 9 |
| 20 | EBMT, SMT, hybrid and more: ATR spoken language translation system. | 11 |
About Michael Paul
Michael Paul is a scholar working on Artificial Intelligence, Cellular and Molecular Neuroscience and Biophysics, having authored 62 papers that have together received 941 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (42 papers), Topic Modeling (36 papers) and Speech and dialogue systems (15 papers). The work is most often cited by research in Artificial Intelligence (457 citations), Cellular and Molecular Neuroscience (162 citations) and Biophysics (20 citations). Michael Paul has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Kalina Hristova, Mark Dredze, Eiichiro Sumita, Marcello Federico, Andrew Finch, Luisa Bentivogli, Elena B. Pasquale, Sebastian Stüker, Hiromi Nakaiwa and Fozia Ahmed. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.