Mark A. Govoni

594 total citations
31 papers, 457 citations indexed

About

Mark A. Govoni is a scholar working on Aerospace Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Mark A. Govoni has authored 31 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Aerospace Engineering, 10 papers in Biomedical Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Mark A. Govoni's work include Radar Systems and Signal Processing (29 papers), Advanced SAR Imaging Techniques (20 papers) and Microwave Imaging and Scattering Analysis (9 papers). Mark A. Govoni is often cited by papers focused on Radar Systems and Signal Processing (29 papers), Advanced SAR Imaging Techniques (20 papers) and Microwave Imaging and Scattering Analysis (9 papers). Mark A. Govoni collaborates with scholars based in United States, Italy and United Kingdom. Mark A. Govoni's co-authors include Hongbin Li, Antonio De Maio, Augusto Aubry, Fangzhou Wang, Vincenzo Carotenuto, John Kosinski, Alexander M. Haimovich, Alfonso Farina, Duncan A. Robertson and Samiur Rahman and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Mark A. Govoni

31 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. Govoni United States 10 392 108 76 63 48 31 457
Olivier Rabaste France 13 324 0.8× 152 1.4× 83 1.1× 55 0.9× 36 0.8× 46 446
Haowen Chen China 11 375 1.0× 80 0.7× 102 1.3× 79 1.3× 34 0.7× 36 448
Fengzhou Dai China 10 312 0.8× 96 0.9× 79 1.0× 99 1.6× 39 0.8× 51 382
Jing Tian China 11 418 1.1× 89 0.8× 141 1.9× 42 0.7× 62 1.3× 56 504
Amir Hosein Oveis Italy 11 236 0.6× 168 1.6× 64 0.8× 58 0.9× 36 0.8× 31 388
Amir Zaimbashi Iran 16 458 1.2× 149 1.4× 152 2.0× 75 1.2× 30 0.6× 48 605
Yunhe Cao China 14 411 1.0× 76 0.7× 116 1.5× 96 1.5× 18 0.4× 47 476
Stéphanie Bidon France 12 397 1.0× 63 0.6× 79 1.0× 195 3.1× 47 1.0× 61 489
Brandon Ravenscroft United States 12 382 1.0× 123 1.1× 58 0.8× 49 0.8× 28 0.6× 24 444
H. Kuschel Germany 16 677 1.7× 181 1.7× 196 2.6× 93 1.5× 81 1.7× 47 739

Countries citing papers authored by Mark A. Govoni

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Govoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Govoni. 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 Mark A. Govoni. The network helps show where Mark A. Govoni may publish in the future.

Co-authorship network of co-authors of Mark A. Govoni

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Govoni. A scholar is included among the top collaborators of Mark A. Govoni 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 Mark A. Govoni. Mark A. Govoni 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
1.
Wang, Fangzhou, et al.. (2023). Target Detection for Distributed MIMO Radar With Non-Orthogonal Waveforms in Cluttered Environments. IEEE Transactions on Aerospace and Electronic Systems. 1–12. 7 indexed citations
2.
3.
Li, Hongbin, et al.. (2021). Signal Detection in Distributed MIMO Radar With Non-Orthogonal Waveforms and Sync Errors. IEEE Transactions on Signal Processing. 69. 3671–3684. 39 indexed citations
4.
Wang, Fangzhou, et al.. (2021). Delay Compensation for Distributed MIMO Radar With Non-Orthogonal Waveforms. IEEE Signal Processing Letters. 29. 41–45. 3 indexed citations
5.
Jiang, Wei, et al.. (2021). Fast Data-Driven Adaptation of Radar Detection via Meta-Learning. 2021 55th Asilomar Conference on Signals, Systems, and Computers. ii. 1618–1622. 3 indexed citations
6.
Wang, Fangzhou, et al.. (2021). New Coherent and Hybrid Detectors for Distributed MIMO Radar with Synchronization Errors. 1–5. 4 indexed citations
7.
Rahman, Samiur, et al.. (2021). Study of radar signatures of drones equipped with threat payloads. St Andrews Research Repository (St Andrews Research Repository). 1 indexed citations
8.
Rahman, Samiur, Duncan A. Robertson, & Mark A. Govoni. (2020). Radar signatures of drones equipped with liquid spray payloads. St Andrews Research Repository (St Andrews Research Repository). 1–5. 3 indexed citations
9.
Wang, Fangzhou, Hongbin Li, & Mark A. Govoni. (2019). Power Allocation and Co-Design of Multicarrier Communication and Radar Systems for Spectral Coexistence. IEEE Transactions on Signal Processing. 67(14). 3818–3831. 78 indexed citations
10.
Aubry, Augusto, Vincenzo Carotenuto, Antonio De Maio, & Mark A. Govoni. (2018). Multi-Snapshot Spectrum Sensing for Cognitive Radar via Block-Sparsity Exploitation. IEEE Transactions on Signal Processing. 67(6). 1396–1406. 58 indexed citations
11.
Govoni, Mark A.. (2017). Micro-Doppler signal decomposition of small commercial drones. 425–429. 18 indexed citations
12.
Dietlein, Charles, Abigail Hedden, Anthony F. Martone, et al.. (2016). Trends in radar: a U.S. Army Research Laboratory perspective. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9829. 98290U–98290U. 2 indexed citations
13.
Govoni, Mark A., et al.. (2015). Cost analysis of compressive sensing for MIMO STAP random arrays. Zenodo (CERN European Organization for Nuclear Research). 980–985. 6 indexed citations
14.
Govoni, Mark A., et al.. (2015). Qualitative analysis of interference on receiver performance using advanced pulse compression noise (APCN). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9461. 94610Y–94610Y. 4 indexed citations
15.
Govoni, Mark A., et al.. (2015). A practical look at target detection using MIMO radar. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9461. 94610R–94610R. 3 indexed citations
16.
Govoni, Mark A., et al.. (2014). Moving target trajectories in low-frequency SAR imagery. IEEE Transactions on Aerospace and Electronic Systems. 50(3). 2354–2360. 3 indexed citations
17.
Govoni, Mark A., et al.. (2014). SAR image quality using advanced pulse compression noise (APCN). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9077. 90770K–90770K. 5 indexed citations
18.
Govoni, Mark A., et al.. (2014). Radar spectrum spreading using advanced pulse compression noise (APCN). 49. 1471–1475. 8 indexed citations
19.
Govoni, Mark A., Hongbin Li, & John Kosinski. (2013). Range-Doppler Resolution of the Linear-FM Noise Radar Waveform. IEEE Transactions on Aerospace and Electronic Systems. 49(1). 658–664. 41 indexed citations
20.
Govoni, Mark A., et al.. (2012). Preliminary performance analysis of the advanced pulse compression noise radar waveform. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8361. 836115–836115. 1 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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