Ján Žižka
- Co-authors
- R. R. SimardP BalícekC. R. DE KIMPEPavel RyškaL. ProkešováT. Sen TranR. Lodinová‐ŽádníkováRamesh Raskar
- Topics
- Genomic variations and chromosomal abnormalities (10 papers)Chromosomal and Genetic Variations (8 papers)Text and Document Classification Technologies (8 papers)
- Cited by
- HepatologySoil ScienceBiomaterials
- Journals
- SHILAP Revista de lepidopterologíaRadiologyJournal of Hepatology
- Partner nations
- CzechiaUnited StatesCanada
In The Last Decade
Ján Žižka
101 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 145
- Surgery 215
- Genetics 165
- Epidemiology 154
- Plant Science 153
- Soil Science 135
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 of co-authors of Ján Žižka
This figure shows the co-authorship network connecting the top 25 collaborators of Ján Žižka. A scholar is included among the top collaborators of Ján Žižka 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 Ján Žižka. Ján Žižka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 21 | |
| 5 | 0 | |
| 6 | 19 | |
| 7 | Parallel Processing of Very Many Textual Customers' Reviews Freely Written Down in Natural Languages | 3 |
| 8 | Mining Significant Words from Customer Opinions Written in Different Natural Languages. | 2 |
| 9 | 12 | |
| 10 | 17 | |
| 11 | Automatic Sentiment Analysis Using the Textual Pattern Content Similarity in Natural Language. | 1 |
| 12 | 21 | |
| 13 | 26 | |
| 14 | 47 | |
| 15 | 14 | |
| 16 | 34 | |
| 17 | 7 | |
| 18 | 16 | |
| 19 | 11 | |
| 20 | Proceedings: EEG findings in children with Klinefelter's syndrome. | 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) and Text and Document Classification Technologies (8 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.