Michael Bada
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 18
- Topic Modeling 5
- Natural Language Processing Techniques 5
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies 25
- Bioinformatics and Genomic Networks 14
- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 3
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- Genomics and Rare Diseases 3
- Co-authors
- Lawrence HunterWilliam A. BaumgartnerKevin Bretonnel CohenKarin VerspoorMiriam EckertJudith A. BlakeMidori A. HarrisDmitry Sitnikov
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Michael Bada
32 papers receiving 778 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 542
- Molecular Biology 714
- Health Informatics 6
- Information Systems and Management 30
- Computational Theory and Mathematics 41
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 4 | |
| 4 | 2017 | 6 | |
| 5 | 2017 | 37 | |
| 6 | 2015 | 46 | |
| 7 | 2014 | 84 | |
| 8 | 2014 | 10 | |
| 9 | 2013 | 8 | |
| 10 | 2012 | 177 | |
| 11 | 2012 | 81 | |
| 12 | An Overview of the CRAFT Concept Annotation Guidelines | 2010 | 18 |
| 13 | 2010 | 16 | |
| 14 | 2010 | 89 | |
| 15 | A Call for an Abductive Reasoning Feature in OWL-Reasoning Tools toward Ontology Quality Control. | 2008 | 6 |
| 16 | 2006 | 22 | |
| 17 | 2004 | 21 | |
| 18 | 2003 | 14 | |
| 19 | 2002 | 18 | |
| 20 | 2000 | 7 |
About Michael Bada
Michael Bada is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems and Management, Genetics and Computational Theory and Mathematics, having authored 32 papers that have together received 823 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (25 papers), Semantic Web and Ontologies (18 papers), Bioinformatics and Genomic Networks (14 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers), Genomics and Phylogenetic Studies (4 papers), Genomics and Rare Diseases (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Artificial Intelligence (542 citations), Molecular Biology (714 citations), Health Informatics (6 citations), Information Systems and Management (30 citations) and Computational Theory and Mathematics (41 citations). Michael Bada has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Lawrence Hunter, William A. Baumgartner, Kevin Bretonnel Cohen, Karin Verspoor, Miriam Eckert, Judith A. Blake, Midori A. Harris, Dmitry Sitnikov, Kristin Garcia and Donald L. Evans. Their work appears in journals such as BMC Bioinformatics, Journal of Biomedical Informatics, RNA, Scientific Reports and Bioinformatics.
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.