Jan Nedoma
Impact in
- Signal Processing top 5%
- Blind Source Separation Techniques
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- IoT and Edge/Fog Computing
Papers in
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- Advanced Fiber Optic Sensors 75
- Semiconductor Lasers and Optical Devices 39
- Photonic and Optical Devices 29
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- Non-Invasive Vital Sign Monitoring 38
- Co-authors
- Radek Martínek (137 shared papers)Marcel Fajkus (108 shared papers)Vladimír Vašinek (59 shared papers)Mazin Abed Mohammed (43 shared papers)H. Nazeran (7 shared papers)Radana Kahánková (29 shared papers)Abdullah Lakhan (22 shared papers)Karrar Hameed Abdulkareem (23 shared papers)
In The Last Decade
Jan Nedoma
198 papers receiving 2.4k citations
Jan Nedoma's Hit Papers
Peers
Comparison fields: 5 of 145
- Signal Processing 193
- Computer Networks and Communications 391
- Cardiology and Cardiovascular Medicine 372
- Biomedical Engineering 664
- Electrical and Electronic Engineering 793
Countries citing papers authored by Jan Nedoma
This map shows the geographic impact of Jan Nedoma'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 Jan Nedoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Nedoma more than expected).
Fields of papers citing papers by Jan Nedoma
This network shows the impact of papers produced by Jan Nedoma. 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 Jan Nedoma. The network helps show where Jan Nedoma may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Nedoma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 219 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 131 | |
| 2 | 2018 | 94 | |
| 3 | 2017 | 73 | |
| 4 | 2017 | 69 | |
| 5 | 2023 | 66 | |
| 6 | 2023 | 62 | |
| 7 | 2021 | 60 | |
| 8 | A systematic review of deep learning techniques for plant diseases Hit paper breakdown → | 2024 | 57 |
| 9 | 2022 | 55 | |
| 10 | 2017 | 49 | |
| 11 | 2017 | 44 | |
| 12 | 2022 | 41 | |
| 13 | 2023 | 39 | |
| 14 | 2018 | 37 | |
| 15 | 2023 | 37 | |
| 16 | 2016 | 35 | |
| 17 | 2019 | 31 | |
| 18 | 2022 | 30 | |
| 19 | 2023 | 30 | |
| 20 | 2016 | 30 |
About Jan Nedoma
Jan Nedoma is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Networks and Communications, Atomic and Molecular Physics, and Optics and Cardiology and Cardiovascular Medicine, having authored 219 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (75 papers), Semiconductor Lasers and Optical Devices (39 papers), Non-Invasive Vital Sign Monitoring (38 papers), Photonic and Optical Devices (29 papers), ECG Monitoring and Analysis (20 papers), IoT and Edge/Fog Computing (18 papers), Blockchain Technology Applications and Security (17 papers) and Advanced Fiber Laser Technologies (15 papers). The work is most often cited by research in Signal Processing (193 citations), Computer Networks and Communications (391 citations), Cardiology and Cardiovascular Medicine (372 citations), Biomedical Engineering (664 citations) and Electrical and Electronic Engineering (793 citations). Jan Nedoma has collaborated with scholars based in Czechia, Iraq and Pakistan. Frequent co-authors include Radek Martínek, Marcel Fajkus, Vladimír Vašinek, Mazin Abed Mohammed, H. Nazeran, Radana Kahánková, Abdullah Lakhan, Karrar Hameed Abdulkareem, Petr Šiška and Jaroslav Frnda. Their work appears in journals such as Sensors, IEEE Access, IEEE Transactions on Instrumentation and Measurement, Applied Sciences and Measurement.
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.