Jiří Kaňka

2.4k citations
114 papers · 1.9k indexed · h-index 23

Impact in

Papers in

Jiří Kaňka

112 papers receiving 1.9k citations

Peers

Jiří Kaňka
Comparison fields: 5 of 112
  • Reproductive Medicine 308
  • Public Health, Environmental and Occupational Health 876
  • Genetics 417
  • Agronomy and Crop Science 141
  • Molecular Biology 799
Replace Samiksha Nayak with:
Samiksha Nayak India
T Porstmann Germany
Johan Banér Sweden
LaToya S. Jones United States
Mélanie Bonhivers France
H. Ogawa Japan
Kendrick B. Turner United States
A.A. Simpson United States
Suhee Kim South Korea
Sanae A. Ishijima Japan
Jiří Kaňka relative to Samiksha Nayak India Samiksha Nayak's profile →
Citations per field
00.5×5.3×
Samiksha Nayak · 1×
Citations per year

Countries citing papers authored by Jiří Kaňka

Since Specialization
Citations

This map shows the geographic impact of Jiří Kaňka'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 Jiří Kaňka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiří Kaňka more than expected).

Fields of papers citing papers by Jiří Kaňka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiří Kaňka. 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 Jiří Kaňka. The network helps show where Jiří Kaňka may publish in the future.

Co-authors

The 25 scholars most cited alongside Jiří Kaňka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jiří Kaňka Line = papers co-authored together Jiří Kaňka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20218
3 202025
4 202024
5 201527
6 201320
7 200924
8
Measurement of chromatic dispersion of microstructure optical fibers using interferometric method
20086
9 200528
10
Time-domain simulation of power transients in Raman fibre amplifiers: Research Articles
20042
11 200462
12 2003133
13 200029
14 199633
15 199616
16 19953
17 199413
18 199312
19
Coincidence of Paget disease of bone and primary hyperparathyroidism.
19934
20 198915

About Jiří Kaňka

Jiří Kaňka is a scholar working on Public Health, Environmental and Occupational Health, Electrical and Electronic Engineering, Genetics, Reproductive Medicine and Agronomy and Crop Science, having authored 114 papers that have together received 1.9k indexed citations. Recurring topics across this work include Photonic Crystal and Fiber Optics (36 papers), Reproductive Biology and Fertility (31 papers), Advanced Fiber Optic Sensors (30 papers), Photonic and Optical Devices (16 papers), Advanced Fiber Laser Technologies (14 papers), Optical Network Technologies (13 papers), Animal Genetics and Reproduction (12 papers) and Pluripotent Stem Cells Research (10 papers). The work is most often cited by research in Reproductive Medicine (308 citations), Public Health, Environmental and Occupational Health (876 citations), Genetics (417 citations), Agronomy and Crop Science (141 citations) and Molecular Biology (799 citations). Jiří Kaňka has collaborated with scholars based in Czechia, United States and United Kingdom. Frequent co-authors include Henry Du, Lucie Němcová, J. Fulka, Jan Motlík, V. Kopečný, Fei Tian, Radek Procházka, M. Tománek, N. Crozet and Pavel Honzátko. Their work appears in journals such as Theriogenology, Optics Letters, Optics Express, Reproduction and Biology of Reproduction.

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.

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