Jan Nedoma

3.8k total citations · 1 hit paper
219 papers, 2.5k citations indexed

About

Jan Nedoma is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Jan Nedoma has authored 219 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Electrical and Electronic Engineering, 57 papers in Biomedical Engineering and 38 papers in Computer Networks and Communications. Recurrent topics in Jan Nedoma's work include Advanced Fiber Optic Sensors (75 papers), Semiconductor Lasers and Optical Devices (39 papers) and Non-Invasive Vital Sign Monitoring (38 papers). Jan Nedoma is often cited by papers focused on Advanced Fiber Optic Sensors (75 papers), Semiconductor Lasers and Optical Devices (39 papers) and Non-Invasive Vital Sign Monitoring (38 papers). Jan Nedoma collaborates with scholars based in Czechia, Iraq and Pakistan. Jan Nedoma's co-authors include Radek Martínek, Marcel Fajkus, Vladimír Vašinek, Mazin Abed Mohammed, H. Nazeran, Abdullah Lakhan, Radana Kahánková, Karrar Hameed Abdulkareem, Petr Šiška and Jaroslav Frnda and has published in prestigious journals such as PLoS ONE, Scientific Reports and Applied Energy.

In The Last Decade

Jan Nedoma

198 papers receiving 2.4k citations

Hit Papers

A systematic review of deep learning techniques for plant... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Nedoma Czechia 26 793 664 391 372 261 219 2.5k
Radek Martínek Czechia 31 1.2k 1.5× 1.0k 1.6× 526 1.3× 1.0k 2.8× 271 1.0× 322 4.1k
Xiaodong Yang China 32 1.4k 1.7× 970 1.5× 401 1.0× 118 0.3× 131 0.5× 218 3.1k
Domenico Grimaldi Italy 28 561 0.7× 647 1.0× 687 1.8× 394 1.1× 108 0.4× 176 2.4k
Yongqiang Cheng China 24 371 0.5× 412 0.6× 308 0.8× 120 0.3× 287 1.1× 125 2.0k
Saeed Mian Qaisar Saudi Arabia 25 517 0.7× 262 0.4× 171 0.4× 303 0.8× 74 0.3× 172 2.0k
Panos Liatsis United Kingdom 25 480 0.6× 293 0.4× 141 0.4× 112 0.3× 127 0.5× 160 2.2k
R. Varatharajan India 24 386 0.5× 278 0.4× 659 1.7× 125 0.3× 460 1.8× 54 2.3k
Antonio Pietrosanto Italy 29 1.2k 1.5× 331 0.5× 715 1.8× 91 0.2× 79 0.3× 243 3.4k
Chun‐Liang Lin Taiwan 27 533 0.7× 510 0.8× 303 0.8× 291 0.8× 72 0.3× 218 2.7k
Hemant Ghayvat India 20 434 0.5× 230 0.3× 550 1.4× 54 0.1× 213 0.8× 58 1.9k

Countries citing papers authored by Jan Nedoma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jan Nedoma

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Nedoma. A scholar is included among the top collaborators of Jan Nedoma 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 Jan Nedoma. Jan Nedoma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Kumar, Krishna, Aman Kumar, Gaurav Saini, et al.. (2024). Performance monitoring of kaplan turbine based hydropower plant under variable operating conditions using machine learning approach. Sustainable Computing Informatics and Systems. 42. 100958–100958. 4 indexed citations
3.
Kepák, Stanislav, et al.. (2024). Visibility control of phase fiber optic sensors in passive optical networks. Optics & Laser Technology. 183. 112322–112322.
4.
Lakhan, Abdullah, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, et al.. (2024). DT-LSMAS: Digital Twin-Assisted Large-Scale Multiagent System for Healthcare Workflows. IEEE Systems Journal. 18(4). 1883–1892. 6 indexed citations
5.
Lakhan, Abdullah, Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, et al.. (2024). FDCNN-AS: Federated deep convolutional neural network Alzheimer detection schemes for different age groups. Information Sciences. 677. 120833–120833. 5 indexed citations
6.
Nedoma, Jan, Marcel Fajkus, Petr Šiška, et al.. (2024). Embedding FBG sensors for monitoring vital signs of the human body: Recent progress over the past decade. APL Photonics. 9(8). 7 indexed citations
7.
Lakhan, Abdullah, Mazin Abed Mohammed, Dilovan Asaad Zebari, et al.. (2024). Augmented IoT Cooperative Vehicular Framework Based on Distributed Deep Blockchain Networks. IEEE Internet of Things Journal. 11(22). 35825–35838. 6 indexed citations
8.
Mohammed, Mazin Abed, Abdullah Lakhan, Karrar Hameed Abdulkareem, et al.. (2023). Homomorphic federated learning schemes enabled pedestrian and vehicle detection system. Internet of Things. 23. 100903–100903. 21 indexed citations
9.
Lakhan, Abdullah, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, et al.. (2023). Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow. Internet of Things. 24. 100928–100928. 19 indexed citations
10.
Rahman, Atiqe Ur, et al.. (2023). Fppsv-NHSS: Fuzzy parameterized possibility single valued neutrosophic hypersoft set to site selection for solid waste management. Applied Soft Computing. 140. 110273–110273. 17 indexed citations
11.
Mohammed, Mazin Abed, Abdullah Lakhan, Karrar Hameed Abdulkareem, et al.. (2023). Energy-efficient distributed federated learning offloading and scheduling healthcare system in blockchain based networks. Internet of Things. 22. 100815–100815. 37 indexed citations
12.
Rahman, Atiqe Ur, Muhammad Saeed, Mazin Abed Mohammed, et al.. (2023). An innovative mathematical approach to the evaluation of susceptibility in liver disorder based on fuzzy parameterized complex fuzzy hypersoft set. Biomedical Signal Processing and Control. 86. 105204–105204. 7 indexed citations
13.
Saeed, Muhammad, Muhammad Ahsan, Muhammad Haris Saeed, et al.. (2022). An algebraic modeling for tuberculosis disease prognosis and proposed potential treatment methods using fuzzy hypersoft mappings. Biomedical Signal Processing and Control. 80. 104267–104267. 12 indexed citations
14.
Martínek, Radek, et al.. (2020). Voice Communication in Noisy Environments in a Smart House Using Hybrid LMS+ICA Algorithm. Sensors. 20(21). 6022–6022. 11 indexed citations
15.
Frnda, Jaroslav, et al.. (2019). A Weather Forecast Model Accuracy Analysis and ECMWF Enhancement Proposal by Neural Network. Sensors. 19(23). 5144–5144. 22 indexed citations
16.
Nedoma, Jan, et al.. (2018). Sensor system based on the Mach-Zehnder interferometer for the rail transport. 53–53. 2 indexed citations
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Kepák, Stanislav, et al.. (2016). Fibre optic portable rail vehicle detector. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10142. 101421M–101421M. 11 indexed citations

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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