Alex Thomas
Impact in
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- Distributed and Parallel Computing Systems
- Distributed systems and fault tolerance
- Software System Performance and Reliability
- Advanced Database Systems and Queries
- Hardware and Architecture top 10%
Papers in
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- Microbial Metabolic Engineering and Bioproduction 3
- Biomedical Text Mining and Ontologies 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Mitochondrial Function and Pathology 1
- Bioinformatics and Genomic Networks 1
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- Topic Modeling 2
- Co-authors
- Raghu Hudli (1 shared paper)Seán Baker (1 shared paper)Jon Siegel (1 shared paper)Peter de Jong (1 shared paper)Alan H. Klein (1 shared paper)Bernhard Ø. Palsson (3 shared papers)Neema Jamshidi (2 shared papers)Aarash Bordbar (2 shared papers)
- Journals
- Scientific Reports (2 papers)Proceedings of the National Academy of Sciences (1 paper)Metabolic Engineering (1 paper)Biochemistry (1 paper)Text REtrieval Conference (2 papers)
- Partner nations
- United StatesGermanyFinland
In The Last Decade
Alex Thomas
8 papers receiving 487 citations
Peers
Comparison fields: 5 of 87
- Computer Networks and Communications 212
- Hardware and Architecture 60
- Information Systems 149
- Software 20
- Artificial Intelligence 167
Countries citing papers authored by Alex Thomas
This map shows the geographic impact of Alex Thomas'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 Alex Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Thomas more than expected).
Fields of papers citing papers by Alex Thomas
This network shows the impact of papers produced by Alex Thomas. 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 Alex Thomas. The network helps show where Alex Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Thomas, 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 | CORBA fundamentals and programming | 1996 | 373 |
| 2 | 2017 | 76 | |
| 3 | 2014 | 36 | |
| 4 | 2015 | 31 | |
| 5 | 2021 | 26 | |
| 6 | 2010 | 17 | |
| 7 | Atigeo at TREC 2012 Medical Records Track: ICD-9 Code Description Injection to Enhance Electronic Medical Record Search Accuracy | 2012 | 5 |
| 8 | Atigeo at TREC 2014 Clinical Decision Support Task | 2014 | 3 |
About Alex Thomas
Alex Thomas is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Pharmacology and Spectroscopy, having authored 8 papers that have together received 567 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (3 papers), Topic Modeling (2 papers), Biomedical Text Mining and Ontologies (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Mitochondrial Function and Pathology (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Computer Networks and Communications (212 citations), Hardware and Architecture (60 citations), Information Systems (149 citations), Software (20 citations) and Artificial Intelligence (167 citations). Alex Thomas has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include Raghu Hudli, Seán Baker, Jon Siegel, Peter de Jong, Alan H. Klein, Bernhard Ø. Palsson, Neema Jamshidi, Aarash Bordbar, Daniel C. Zielinski and Sorena Rahmanian. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, Metabolic Engineering, Biochemistry and Text REtrieval Conference.
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.