Ján Žižka
- Hepatology top 5%
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics 7
- Biomaterials top 10%
- Environmental Chemistry top 10%
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- Genomic variations and chromosomal abnormalities 10
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- Chromosomal and Genetic Variations 8
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- Text and Document Classification Technologies 8
- Advanced Text Analysis Techniques 7
- Sentiment Analysis and Opinion Mining 5
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- Pediatric health and respiratory diseases 6
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- Advanced MRI Techniques and Applications 6
- Co-authors
- R. R. SimardP BalícekC. R. DE KIMPEPavel RyškaL. ProkešováT. Sen TranR. Lodinová‐ŽádníkováRamesh Raskar
- Cited by
- HepatologySoil ScienceBiomaterials
- Journals
- SHILAP Revista de lepidopterología (3 papers)Radiology (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- CzechiaUnited StatesCanada
In The Last Decade
Ján Žižka
101 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 145
- Hepatology 135
- Soil Science 135
- Biomaterials 96
- Immunology and Allergy 40
- Environmental Chemistry 62
Countries citing papers authored by Ján Žižka
This map shows the geographic impact of Ján Žižka'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 Ján Žižka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ján Žižka more than expected).
Fields of papers citing papers by Ján Žižka
This network shows the impact of papers produced by Ján Žižka. 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 Ján Žižka. The network helps show where Ján Žižka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ján Žižka, 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 | 2023 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2021 | 9 | |
| 4 | 2019 | 21 | |
| 5 | 2015 | 0 | |
| 6 | 2014 | 19 | |
| 7 | Parallel Processing of Very Many Textual Customers' Reviews Freely Written Down in Natural Languages | 2012 | 3 |
| 8 | Mining Significant Words from Customer Opinions Written in Different Natural Languages. | 2011 | 2 |
| 9 | 2011 | 12 | |
| 10 | 2011 | 17 | |
| 11 | Automatic Sentiment Analysis Using the Textual Pattern Content Similarity in Natural Language. | 2010 | 1 |
| 12 | 2010 | 21 | |
| 13 | 2010 | 26 | |
| 14 | 2007 | 47 | |
| 15 | 2007 | 14 | |
| 16 | 2006 | 34 | |
| 17 | 2004 | 7 | |
| 18 | 2001 | 16 | |
| 19 | 1998 | 11 | |
| 20 | Proceedings: EEG findings in children with Klinefelter's syndrome. | 1975 | 2 |
About Ján Žižka
Ján Žižka is a scholar working on Emergency Medical Services, Pharmacy and Soil Science, having authored 113 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (10 papers), Chromosomal and Genetic Variations (8 papers), Text and Document Classification Technologies (8 papers), Advanced Text Analysis Techniques (7 papers), Soil Carbon and Nitrogen Dynamics (7 papers), Pediatric health and respiratory diseases (6 papers), Advanced MRI Techniques and Applications (6 papers) and Sentiment Analysis and Opinion Mining (5 papers). The work is most often cited by research in Hepatology (135 citations), Soil Science (135 citations) and Biomaterials (96 citations). Ján Žižka has collaborated with scholars based in Czechia, United States and Canada. Frequent co-authors include R. R. Simard, P Balícek, C. R. DE KIMPE, Pavel Ryška, L. Prokešová, T. Sen Tran, R. Lodinová‐Žádníková, Ramesh Raskar, I Šterzl and Antonı́n Krajina. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and Journal of Hepatology.
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.