Alexander K. Hudek
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- Semantic Web and Ontologies 5
- Natural Language Processing Techniques 5
- Topic Modeling 2
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- Advanced Database Systems and Queries 2
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- Genomics and Phylogenetic Studies 3
- Biomedical Text Mining and Ontologies 2
- RNA and protein synthesis mechanisms 2
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- Chromosomal and Genetic Variations 2
- Co-authors
- Grant WeddellJeffrey PoundIhab F. IlyasDaniel G. BrownDavid TomanAndrew P. BorightStephen W. SchererRadha Chitta
- Journals
- Bioinformatics (1 paper)Journal of Automated Reasoning (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- Canada
In The Last Decade
Alexander K. Hudek
10 papers receiving 82 citations
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 82
- Signal Processing 14
- Information Systems 28
- Computer Networks and Communications 14
- Molecular Biology 39
Countries citing papers authored by Alexander K. Hudek
This map shows the geographic impact of Alexander K. Hudek'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 Alexander K. Hudek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander K. Hudek more than expected).
Fields of papers citing papers by Alexander K. Hudek
This network shows the impact of papers produced by Alexander K. Hudek. 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 Alexander K. Hudek. The network helps show where Alexander K. Hudek may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Alexander K. Hudek, 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 | 2021 | 0 | |
| 2 | 2019 | 3 | |
| 3 | 2018 | 8 | |
| 4 | 2014 | 3 | |
| 5 | Absorption for ABoxes. | 2012 | 4 |
| 6 | Assertion absorption in object queries over knowledge bases | 2012 | 4 |
| 7 | 2012 | 35 | |
| 8 | 2010 | 5 | |
| 9 | Binary Absorption in Tableaux-Based Reasoning for Description Logics. | 2006 | 24 |
| 10 | 2005 | 11 | |
| 11 | 2003 | 7 |
About Alexander K. Hudek
Alexander K. Hudek is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 11 papers that have together received 104 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Natural Language Processing Techniques (5 papers), Genomics and Phylogenetic Studies (3 papers), Biomedical Text Mining and Ontologies (2 papers), Chromosomal and Genetic Variations (2 papers), Topic Modeling (2 papers), Advanced Database Systems and Queries (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Artificial Intelligence (82 citations), Signal Processing (14 citations) and Information Systems (28 citations). Alexander K. Hudek has collaborated with scholars based in Canada. Frequent co-authors include Grant Weddell, Jeffrey Pound, Ihab F. Ilyas, Daniel G. Brown, David Toman, Daniel G. Brown, Andrew P. Boright, Stephen W. Scherer, Radha Chitta and Joseph Cheung. Their work appears in journals such as Bioinformatics, Journal of Automated Reasoning, IEEE/ACM Transactions on Computational Biology and Bioinformatics, BMC Bioinformatics and Description Logics.
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.