Daniel D. Novotný
- Sociology and Political Science
- Molecular Biology
- Political Science and International Relations
- Artificial Intelligence
- Development top 10%
- Co-authors
- Anand KumarBarry SmithClara PortelaAnna HelováYum L. YipJaroslav FlegrSoraj HongladaromJakub Eberle
- Topics
- Biomedical Text Mining and Ontologies (3 papers)Historical Philosophy and Science (3 papers)Classical Philosophy and Thought (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaAI & SocietyComparative and Functional Genomics
- Partner nations
- CzechiaGermanyUnited States
In The Last Decade
Daniel D. Novotný
22 papers receiving 113 citations
Peers
Comparison fields: 5 of 49
- Sociology and Political Science 50
- Molecular Biology 34
- Political Science and International Relations 32
- Artificial Intelligence 30
- Development 22
Countries citing papers authored by Daniel D. Novotný
This map shows the geographic impact of Daniel D. Novotný'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 Daniel D. Novotný with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Novotný more than expected).
Fields of papers citing papers by Daniel D. Novotný
This network shows the impact of papers produced by Daniel D. Novotný. 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 Daniel D. Novotný. The network helps show where Daniel D. Novotný may publish in the future.
Co-authorship network of co-authors of Daniel D. Novotný
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel D. Novotný. A scholar is included among the top collaborators of Daniel D. Novotný 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 Daniel D. Novotný. Daniel D. Novotný is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | Deductions and Reductions Decoding Syllogistic Mnemonics | 1 |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | EU-ASEAN relations in the 21st century : strategic partnership in the making | 3 |
| 12 | 25 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | PROPER NAMES IN REFERENCE: BEYOND SEARLE AND KRIPKE | 0 |
| 16 | 0 | |
| 17 | An ontology for carcinoma classification for clinical bioinformatics. | 4 |
| 18 | Biomedical informatics and granularity: Conference Papers | 2 |
| 19 | 36 | |
| 20 | Rodrigo de Arriaga , Philosoph und Theologe | 2 |
About Daniel D. Novotný
Daniel D. Novotný is a scholar working on Theoretical Computer Science, History and Philosophy of Science and Classics, having authored 26 papers that have together received 142 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Historical Philosophy and Science (3 papers) and Classical Philosophy and Thought (2 papers). The work is most often cited by research in Development (22 citations), History and Philosophy of Science (10 citations) and Political Science and International Relations (32 citations). Daniel D. Novotný has collaborated with scholars based in Czechia, Germany and United States. Frequent co-authors include Anand Kumar, Barry Smith, Clara Portela, Anna Helová, Yum L. Yip, Jaroslav Flegr, Soraj Hongladarom, Jakub Eberle and John Corcoran. Their work appears in journals such as SHILAP Revista de lepidopterología, AI & Society and Comparative and Functional Genomics.
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.