Michael Bada
Impact in
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
Papers in
-
- Biomedical Text Mining and Ontologies 25
- Bioinformatics and Genomic Networks 11
- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 3
- Machine Learning in Bioinformatics 2
- RNA modifications and cancer 2
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- Semantic Web and Ontologies 13
- Natural Language Processing Techniques 4
- Co-authors
- Lawrence Hunter (22 shared papers)William A. Baumgartner (8 shared papers)Karin M. Verspoor (6 shared papers)Kevin Bretonnel Cohen (5 shared papers)Miriam Eckert (3 shared papers)Judith A. Blake (2 shared papers)Martha Stone Palmer (4 shared papers)Midori A. Harris (2 shared papers)
- Journals
- BMC Bioinformatics (6 papers)Journal of Biomedical Informatics (4 papers)RNA (2 papers)Database (1 paper)Clinical and Translational Science (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Michael Bada
34 papers receiving 973 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 500
- Molecular Biology 777
- Information Systems and Management 38
- Health Informatics 6
- Computational Theory and Mathematics 49
Countries citing papers authored by Michael Bada
This map shows the geographic impact of Michael Bada'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 Bada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Bada more than expected).
Fields of papers citing papers by Michael Bada
This network shows the impact of papers produced by Michael Bada. 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 Bada. The network helps show where Michael Bada may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Bada, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 193 | |
| 2 | 2010 | 101 | |
| 3 | 2014 | 93 | |
| 4 | 2012 | 90 | |
| 5 | 2004 | 69 | |
| 6 | 2022 | 60 | |
| 7 | 2015 | 56 | |
| 8 | 2017 | 44 | |
| 9 | 2005 | 39 | |
| 10 | 2000 | 31 | |
| 11 | 2017 | 28 | |
| 12 | 2006 | 26 | |
| 13 | 2004 | 24 | |
| 14 | An Overview of the CRAFT Concept Annotation Guidelines | 2010 | 19 |
| 15 | 2002 | 19 | |
| 16 | 2010 | 18 | |
| 17 | 2008 | 17 | |
| 18 | 2003 | 14 | |
| 19 | 2014 | 10 | |
| 20 | 2019 | 9 |
About Michael Bada
Michael Bada is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Information Systems and Genetics, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (25 papers), Semantic Web and Ontologies (13 papers), Bioinformatics and Genomic Networks (11 papers), Genomics and Phylogenetic Studies (4 papers), Natural Language Processing Techniques (4 papers), RNA and protein synthesis mechanisms (3 papers), Machine Learning in Bioinformatics (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Artificial Intelligence (500 citations), Molecular Biology (777 citations), Information Systems and Management (38 citations), Health Informatics (6 citations) and Computational Theory and Mathematics (49 citations). Michael Bada has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Lawrence Hunter, William A. Baumgartner, Karin M. Verspoor, Kevin Bretonnel Cohen, Miriam Eckert, Judith A. Blake, Martha Stone Palmer, Midori A. Harris, Christophe Roeder and Donald L. Evans. Their work appears in journals such as BMC Bioinformatics, Journal of Biomedical Informatics, RNA, Database and Clinical and Translational Science.
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.