Joel Martin
- Artificial Intelligence top 1%
- Molecular Biology top 10%
- Information Systems top 10%
- Sociology and Political Science
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Berry de BruijnSvetlana KiritchenkoXiaodan ZhuSaif M. MohammadHoward JohnsonColin CherryRoland KühnGeorge Foster
- Topics
- Biomedical Text Mining and Ontologies (12 papers)Topic Modeling (10 papers)Natural Language Processing Techniques (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American College of CardiologyGenome Research
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Joel Martin
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 928
- Molecular Biology 749
- Information Systems 93
- Sociology and Political Science 71
- Statistics, Probability and Uncertainty 67
Countries citing papers authored by Joel Martin
This map shows the geographic impact of Joel Martin'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 Joel Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Martin more than expected).
Fields of papers citing papers by Joel Martin
This network shows the impact of papers produced by Joel Martin. 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 Joel Martin. The network helps show where Joel Martin may publish in the future.
Co-authorship network of co-authors of Joel Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Joel Martin. A scholar is included among the top collaborators of Joel Martin 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 Joel Martin. Joel Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Linkage of Indiana State Cancer Registry and Indiana Network for Patient Care Data. | 17 |
| 2 | 3 | |
| 3 | 22 | |
| 4 | 25 | |
| 5 | 114 | |
| 6 | 23 | |
| 7 | 47 | |
| 8 | The Construction of a Metadata Authoring System using RDFa | 1 |
| 9 | Improving Translation Quality by Discarding Most of the Phrasetable | 140 |
| 10 | 53 | |
| 11 | 56 | |
| 12 | 12 | |
| 13 | 11 | |
| 14 | Proceedings of the ACL Workshop on Building and Using Parallel Texts | 9 |
| 15 | Fast and Furious Text Mining. | 6 |
| 16 | Finiding Gene Function using LitMiner. | 8 |
| 17 | 81 | |
| 18 | Ask Me Tomorrow: The NRC and University of Ottawa Question Answering System. | 2 |
| 19 | An Automated Method for Studying Interactive Systems | 0 |
| 20 | Focusing attention for observational learning: The importance of context | 1 |
About Joel Martin
Joel Martin is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Molecular Biology, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (10 papers). The work is most often cited by research in Artificial Intelligence (928 citations), Health Informatics (15 citations) and Molecular Biology (749 citations). Joel Martin has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Berry de Bruijn, Svetlana Kiritchenko, Xiaodan Zhu, Saif M. Mohammad, Howard Johnson, Colin Cherry, Roland Kühn, George Foster, Ida Sim and Simona Carini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American College of Cardiology and Genome Research.
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.