Karel Kupka
- Rheumatology
- Health, Toxicology and Mutagenesis
- Microbiology top 10%
- Epidemiology
- Nutrition and Dietetics
- Co-authors
- Milan MelounJiřı́ MilitkýMartin HillJ GatterováKarel PavelkáDaniela PelclováZdeňka FenclováStanley E. Crawford
- Topics
- Advanced Statistical Methods and Models (4 papers)Fault Detection and Control Systems (3 papers)Toxic Organic Pollutants Impact (3 papers)
- Partner nations
- CzechiaUnited StatesSweden
In The Last Decade
Karel Kupka
33 papers receiving 481 citations
Peers
Comparison fields: 5 of 153
- Rheumatology 71
- Health, Toxicology and Mutagenesis 65
- Microbiology 62
- Epidemiology 51
- Nutrition and Dietetics 47
Countries citing papers authored by Karel Kupka
This map shows the geographic impact of Karel Kupka'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 Karel Kupka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karel Kupka more than expected).
Fields of papers citing papers by Karel Kupka
This network shows the impact of papers produced by Karel Kupka. 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 Karel Kupka. The network helps show where Karel Kupka may publish in the future.
Co-authorship network of co-authors of Karel Kupka
This figure shows the co-authorship network connecting the top 25 collaborators of Karel Kupka. A scholar is included among the top collaborators of Karel Kupka 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 Karel Kupka. Karel Kupka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 15 | |
| 3 | 42 | |
| 4 | Průběh onemocnění moyamoya u pacientky sledované od 3 let do 40 let věku | 0 |
| 5 | 26 | |
| 6 | 25 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 18 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 66 | |
| 13 | Erdheim-Chester disease. | 3 |
| 14 | 3 | |
| 15 | [Experience with the Marshall-Marchetti operation for stress incontinence (author's transl)]. | 2 |
| 16 | 3 | |
| 17 | The neuroleptics. 11. Epidemiology and sociological aspects. | 1 |
| 18 | 17 | |
| 19 | Dawn of art : painting and sculpture of Australian aborigines | 6 |
| 20 | Un art à l'état brut | 1 |
About Karel Kupka
Karel Kupka is a scholar working on Archeology, Statistics and Probability and Rheumatology, having authored 37 papers that have together received 527 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Fault Detection and Control Systems (3 papers) and Toxic Organic Pollutants Impact (3 papers). The work is most often cited by research in Microbiology (62 citations), Archeology (10 citations) and Health, Toxicology and Mutagenesis (65 citations). Karel Kupka has collaborated with scholars based in Czechia, United States and Sweden. Frequent co-authors include Milan Meloun, Jiřı́ Militký, Martin Hill, J Gatterová, Karel Pavelká, Daniela Pelclová, Zdeňka Fenclová, Stanley E. Crawford, Pavel Urban and Michael McGowan. Their work appears in journals such as Environmental Pollution, Expert Systems with Applications and Analytica Chimica Acta.
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.