Radomír Goňo

1.8k total citations · 2 hit papers
86 papers, 1.1k citations indexed

About

Radomír Goňo is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Radomír Goňo has authored 86 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 20 papers in Control and Systems Engineering and 16 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Radomír Goňo's work include Power System Reliability and Maintenance (15 papers), Renewable energy and sustainable power systems (13 papers) and Microgrid Control and Optimization (7 papers). Radomír Goňo is often cited by papers focused on Power System Reliability and Maintenance (15 papers), Renewable energy and sustainable power systems (13 papers) and Microgrid Control and Optimization (7 papers). Radomír Goňo collaborates with scholars based in Czechia, Poland and India. Radomír Goňo's co-authors include Zbigniew Leonowicz, Michał Jasiński, Elżbieta Jasińska, Prąsun Chakrabarti, Tulika Chakrabarti, Vadim Bolshev, Pankaj Chittora, Khwairakpam Amitab, Arnab Kumar Maji and Sandeep Chaurasia and has published in prestigious journals such as IEEE Access, Sustainability and Remote Sensing.

In The Last Decade

Radomír Goňo

75 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prediction of Chronic Kidney Disease - A Machine Learning Perspective

2021 182 citations Prąsun Chakrabarti, Tulika Chakrabarti et al. IEEE Access profile →
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey

2022 121 citations Khwairakpam Amitab, Arnab Kumar Maji et al. Remote Sensing profile →

Peers

Radomír Goňo

EEE

AI

CSE

HIM

MMPL

Elżbieta Jasińska Poland

Jatin Bedi India

K. Gnana Sheela India

Ashwani Kumar Aggarwal India

J. F. Torres Spain

Yuan Rong China

Edward Kozłowski Poland

Seunghye Lee South Korea

Wenbing Chang China

Nadjem Bailek Algeria

Elżbieta Jasińska Poland

Radomír Goňo

206 ×0.5

EEE

225 ×0.9

AI

83 ×0.5

CSE

165 ×1.1

HIM

121 ×1.1

MMPL

Citations per year, relative to Radomír Goňo Radomír Goňo (= 1×) peers Elżbieta Jasińska

Countries citing papers authored by Radomír Goňo

Since Specialization

Citations

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

Fields of papers citing papers by Radomír Goňo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radomír Goňo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Narayanamoorthi, R, et al.. (2025). Misalignment-tolerant wireless power transfer for high endurance IoT sensors using UAVs and nonlinear resonant circuits. Results in Engineering. 26. 104879–104879. 1 indexed citations

2.

Narayanamoorthi, R, et al.. (2025). Integrated design and YOLO based control framework for autonomous EV charging robot platforms. Results in Engineering. 26. 105438–105438.

3.

Narayanamoorthi, R, et al.. (2024). Design of Dual Frequency Class E Resonant Converters for Simultaneous Wireless Power and Data Transfer in Low Power Applications. Results in Engineering. 24. 103558–103558. 3 indexed citations

4.

Savio, A. Dominic, et al.. (2024). A bidirectional DC/DC converter for renewable energy source-fed EV charging stations with enhanced DC link voltage and ripple frequency management. Results in Engineering. 24. 103469–103469. 8 indexed citations

5.

Ramesh, L., et al.. (2023). Evolution of a Summer Peak Intelligent Controller (SPIC) for Residential Distribution Networks. Energies. 16(18). 6681–6681. 1 indexed citations

6.

Jain, Praveen, et al.. (2023). Numerical Investigation of Power Conversion Efficiency of Sustainable Perovskite Solar Cells. Electronics. 12(8). 1762–1762. 11 indexed citations

7.

Jasińska, Elżbieta, et al.. (2023). Various Aspects of Energy Transition: Technologies, Economy, and Social Synergies to Sustainable Future. IRIS Research product catalog (Sapienza University of Rome). 1–4. 1 indexed citations

8.

Jasiński, Michał, et al.. (2023). PV Advancements & Challenges: Forecasting Techniques, Real Applications, and Grid Integration for a Sustainable Energy Future. IRIS Research product catalog (Sapienza University of Rome). 1–5. 4 indexed citations

9.

Jasiński, Michał, et al.. (2023). Hyperspectral Image Classification with Deep CNN Using an Enhanced Elephant Herding Optimization for Updating Hyper-Parameters. Electronics. 12(5). 1157–1157. 1 indexed citations

10.

Khan, Adnan Daud, et al.. (2022). Thin-Film Carbon Nitride (C2N)-Based Solar Cell Optimization Considering Zn1−xMgxO as a Buffer Layer. Processes. 11(1). 91–91. 10 indexed citations

11.

Amitab, Khwairakpam, Arnab Kumar Maji, Elżbieta Jasińska, et al.. (2022). Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey. Remote Sensing. 14(13). 3029–3029. 121 indexed citations breakdown →

12.

Sharma, Akhilesh, Shamik Tiwari, Gaurav Aggarwal, et al.. (2022). Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network. IEEE Access. 10. 17920–17932. 90 indexed citations

13.

Bolshev, Vadim, et al.. (2021). Effect of Dynamic Bridging on Homogeneous Grain Movement in a Microwave Processing Zone. Agronomy. 11(10). 2014–2014. 1 indexed citations

14.

Goňo, Radomír, et al.. (2017). Dynamic model of asynchronous machine. 1–4. 5 indexed citations

15.

Goňo, Radomír, et al.. (2013). Experience with the production of electricity from biogas at sewage treatment plant in the Czech Republic. PRZEGLĄD ELEKTROTECHNICZNY. 12–15. 7 indexed citations

16.

Goňo, Radomír, et al.. (2013). Failure duration in distribution networks. PRZEGLĄD ELEKTROTECHNICZNY. 1–3. 1 indexed citations

17.

Goňo, Radomír, et al.. (2013). Input parameters for restoration method for 110 kV power line. PRZEGLĄD ELEKTROTECHNICZNY. 4–7. 1 indexed citations

18.

Goňo, Radomír, et al.. (2012). Method of calculating energy losses in distribution networks. Rynek Energii. 7 indexed citations

19.

Rezmer, Jacek, Zbigniew Leonowicz, & Radomír Goňo. (2011). Analysis of distorted waveforms in power converter systems. PRZEGLĄD ELEKTROTECHNICZNY. 254–257. 1 indexed citations

20.

Goňo, Radomír, et al.. (2010). Analysis of Distribution Network Failure Databases. PRZEGLĄD ELEKTROTECHNICZNY. 168–171. 12 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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