Jaroslav Frnda
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Signal Processing top 5%
- Co-authors
- Jan NedomaMarek ĎuricaLukas SevcikB. D. ParameshachariMiroslav VozňákRadek MartínekRocío Pérez de PradoLucia Švábová
- Topics
- Image and Video Quality Assessment (14 papers)Video Coding and Compression Technologies (13 papers)Network Traffic and Congestion Control (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Jaroslav Frnda
91 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Computer Vision and Pattern Recognition 269
- Artificial Intelligence 241
- Computer Networks and Communications 228
- Electrical and Electronic Engineering 223
- Signal Processing 138
Countries citing papers authored by Jaroslav Frnda
This map shows the geographic impact of Jaroslav Frnda'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 Jaroslav Frnda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaroslav Frnda more than expected).
Fields of papers citing papers by Jaroslav Frnda
This network shows the impact of papers produced by Jaroslav Frnda. 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 Jaroslav Frnda. The network helps show where Jaroslav Frnda may publish in the future.
Co-authorship network of co-authors of Jaroslav Frnda
This figure shows the co-authorship network connecting the top 25 collaborators of Jaroslav Frnda. A scholar is included among the top collaborators of Jaroslav Frnda 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 Jaroslav Frnda. Jaroslav Frnda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 22 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 10 | |
| 12 | 15 | |
| 13 | 9 | |
| 14 | 20 | |
| 15 | 11 | |
| 16 | 11 | |
| 17 | 22 | |
| 18 | 34 | |
| 19 | 16 | |
| 20 | 3 |
About Jaroslav Frnda
Jaroslav Frnda is a scholar working on Media Technology, Signal Processing and Computer Networks and Communications, having authored 107 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (14 papers), Video Coding and Compression Technologies (13 papers) and Network Traffic and Congestion Control (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (269 citations), Signal Processing (138 citations) and Computer Networks and Communications (228 citations). Jaroslav Frnda has collaborated with scholars based in Slovakia, Czechia and Pakistan. Frequent co-authors include Jan Nedoma, Marek Ďurica, Lukas Sevcik, B. D. Parameshachari, Miroslav Vozňák, Radek Martínek, Rocío Pérez de Prado, Lucia Švábová, Jan Rozhon and Nasru Minallah. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.