R. I. A. Harmanny

1.0k total citations
21 papers, 837 citations indexed

About

R. I. A. Harmanny is a scholar working on Aerospace Engineering, Oceanography and Biomedical Engineering. According to data from OpenAlex, R. I. A. Harmanny has authored 21 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Aerospace Engineering, 5 papers in Oceanography and 5 papers in Biomedical Engineering. Recurrent topics in R. I. A. Harmanny's work include Advanced SAR Imaging Techniques (15 papers), Radar Systems and Signal Processing (13 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers). R. I. A. Harmanny is often cited by papers focused on Advanced SAR Imaging Techniques (15 papers), Radar Systems and Signal Processing (13 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers). R. I. A. Harmanny collaborates with scholars based in Netherlands, United Kingdom and Finland. R. I. A. Harmanny's co-authors include J.J.M. de Wit, Pavlo Molchanov, Karen Egiazarian, Jaakko Astola, J.N. Driessen, A.G. Huizing, Hans Driessen, Alexander Yarovoy, Roger C. E. Tan and Hugh Griffiths and has published in prestigious journals such as Electronics Letters, IEEE Aerospace and Electronic Systems Magazine and International Journal of Microwave and Wireless Technologies.

In The Last Decade

R. I. A. Harmanny

21 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. I. A. Harmanny Netherlands	14	731	196	153	100	71	21	837
Pavlo Molchanov Ukraine	12	543 0.7×	152 0.8×	98 0.6×	90 0.9×	62 0.9×	18	631
Weijie Xia China	9	191 0.3×	165 0.8×	56 0.4×	79 0.8×	85 1.2×	44	425
Mohammed Jahangir United Kingdom	15	532 0.7×	58 0.3×	160 1.0×	60 0.6×	92 1.3×	60	648
Chris Hide United Kingdom	14	420 0.6×	59 0.3×	109 0.7×	297 3.0×	46 0.6×	33	545
Mehmet Saygın Seyfioğlu Türkiye	8	296 0.4×	248 1.3×	97 0.6×	64 0.6×	73 1.0×	14	497
Mohammad Reza Taban Iran	13	245 0.3×	60 0.3×	135 0.9×	195 1.9×	44 0.6×	46	486
Fabian Roos Germany	19	792 1.1×	278 1.4×	76 0.5×	357 3.6×	50 0.7×	34	971
Michael Barjenbruch Germany	12	463 0.6×	86 0.4×	194 1.3×	180 1.8×	111 1.6×	17	580
Tai Fei Germany	9	194 0.3×	128 0.7×	46 0.3×	91 0.9×	54 0.8×	42	383
Hang Guo China	14	282 0.4×	57 0.3×	91 0.6×	328 3.3×	92 1.3×	46	531

Countries citing papers authored by R. I. A. Harmanny

Since Specialization

Citations

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

Fields of papers citing papers by R. I. A. Harmanny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. I. A. Harmanny. 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 R. I. A. Harmanny. The network helps show where R. I. A. Harmanny may publish in the future.

Co-authorship network of co-authors of R. I. A. Harmanny

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

All Works

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20 of 20 papers shown

Harmanny, R. I. A., et al.. (2021). Deep Learning-based identification of human gait by radar micro-Doppler measurements. Research Repository (Delft University of Technology). 49–52. 16 indexed citations

Harmanny, R. I. A., et al.. (2021). Attention-based deep learning networks for identification of human gait using radar micro-Doppler spectrograms. International Journal of Microwave and Wireless Technologies. 13(7). 734–739. 6 indexed citations

Harmanny, R. I. A., et al.. (2019). Smart-CFAR, a machine learning approach to floating level detection in radar. European Radar Conference. 9 indexed citations

Harmanny, R. I. A., et al.. (2019). Target/clutter disentanglement using deep adversarial training on micro-Doppler signatures. European Radar Conference. 3 indexed citations

Harmanny, R. I. A., et al.. (2019). Unsupervised Learning Using Generative Adversarial Networks on micro-Doppler spectrograms. European Radar Conference. 9 indexed citations

Huizing, A.G., et al.. (2019). Deep Learning for Classification of Mini-UAVs Using Micro-Doppler Spectrograms in Cognitive Radar. IEEE Aerospace and Electronic Systems Magazine. 34(11). 46–56. 69 indexed citations

Harmanny, R. I. A., et al.. (2017). Multi-target human gait classification using LSTM recurrent neural networks applied to micro-Doppler. 167–170. 41 indexed citations

Anitori, Laura, et al.. (2017). Classification of human gaits using interrupted radar measurements. 514–519. 4 indexed citations

Harmanny, R. I. A., et al.. (2016). Multi-target human gait classification using deep convolutional neural networks on micro-doppler spectrograms. European Radar Conference. 60 indexed citations

10.

Tan, Roger C. E., et al.. (2016). Improved micro-Doppler features extraction using Smoothed-Pseudo Wigner-Ville Distribution. 730–733. 21 indexed citations

11.

Wit, J.J.M. de, R. I. A. Harmanny, & Pavlo Molchanov. (2014). Radar micro-Doppler feature extraction using the Singular Value Decomposition. 1–6. 83 indexed citations

12.

Harmanny, R. I. A., et al.. (2014). Radar micro-Doppler feature extraction using the spectrogram and the cepstrogram. 165–168. 111 indexed citations

13.

Molchanov, Pavlo, et al.. (2014). Classification of small UAVs and birds by micro-Doppler signatures. International Journal of Microwave and Wireless Technologies. 6(3-4). 435–444. 188 indexed citations

14.

Molchanov, Pavlo, Karen Egiazarian, Jaakko Astola, R. I. A. Harmanny, & J.J.M. de Wit. (2013). Classification of small UAVs and birds by micro-Doppler signatures. TNO Repository. 172–175. 60 indexed citations

15.

Harmanny, R. I. A., et al.. (2013). Human motion classification using a particle filter approach: multiple model particle filtering applied to the micro-Doppler spectrum. International Journal of Microwave and Wireless Technologies. 5(3). 391–399. 15 indexed citations

16.

Yarovoy, Alexander G., et al.. (2012). Model-based classification of human motion: Particle filtering applied to the Micro-Doppler spectrum. European Radar Conference. 198–201. 6 indexed citations

17.

Wit, J.J.M. de, et al.. (2012). Micro-Doppler analysis of small UAVs. European Radar Conference. 210–213. 62 indexed citations

18.

Inggs, Michael, Alessio Balleri, K.D. Ward, et al.. (2012). NetRAD multistatic sea clutter database. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 2937–2940. 8 indexed citations

19.

Balleri, Alessio, Hugh Griffiths, William J. Miceli, et al.. (2011). Measurements of bistatic radar sea clutter. ANU Open Research (Australian National University). 217–221. 13 indexed citations

20.

Baker, Chris, Alessio Balleri, Hugh Griffiths, et al.. (2011). Statistical analysis of simultaneous monostatic and bistatic sea clutter at low grazing angles. Electronics Letters. 47(10). 621–622. 23 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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