Jiří Navrátil
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Ganesh N. RamaswamyBing XiangD.A. ReynoldsShai FineUpendra V. ChaudhariRamesh A. GopinathAleš HamáčekJosh Abramson
- Topics
- Speech Recognition and Synthesis (29 papers)Music and Audio Processing (24 papers)Speech and Audio Processing (23 papers)
- Partner nations
- CzechiaUnited StatesCanada
In The Last Decade
Jiří Navrátil
76 papers receiving 932 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 750
- Signal Processing 591
- Electrical and Electronic Engineering 137
- Biomedical Engineering 104
- Computer Vision and Pattern Recognition 102
Countries citing papers authored by Jiří Navrátil
This map shows the geographic impact of Jiří Navrátil'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 Navrátil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiří Navrátil more than expected).
Fields of papers citing papers by Jiří Navrátil
This network shows the impact of papers produced by Jiří Navrátil. 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 Navrátil. The network helps show where Jiří Navrátil may publish in the future.
Co-authorship network of co-authors of Jiří Navrátil
This figure shows the co-authorship network connecting the top 25 collaborators of Jiří Navrátil. A scholar is included among the top collaborators of Jiří Navrátil 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 Jiří Navrátil. Jiří Navrátil 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 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | A Comparison of Syntactic Reordering Methods for English-German Machine Translation | 8 |
| 13 | A Word Reordering Model for Improved Machine Translation | 34 |
| 14 | Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation | 28 |
| 15 | 17 | |
| 16 | 30 | |
| 17 | 79 | |
| 18 | 12 | |
| 19 | 6 | |
| 20 | Effects of pyrithioxine, centrophenoxine, and piracetam on verbal learning. | 1 |
About Jiří Navrátil
Jiří Navrátil is a scholar working on Signal Processing, Artificial Intelligence and Automotive Engineering, having authored 81 papers that have together received 1.0k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (29 papers), Music and Audio Processing (24 papers) and Speech and Audio Processing (23 papers). The work is most often cited by research in Signal Processing (591 citations), Artificial Intelligence (750 citations) and Computer Vision and Pattern Recognition (102 citations). Jiří Navrátil has collaborated with scholars based in Czechia, United States and Canada. Frequent co-authors include Ganesh N. Ramaswamy, Bing Xiang, D.A. Reynolds, Shai Fine, Upendra V. Chaudhari, Ramesh A. Gopinath, Aleš Hamáček, Josh Abramson, W.D. Andrews and R. Gopinath. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Energies.
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.