Eli Mozeson

1.8k total citations · 1 hit paper
12 papers, 1.4k citations indexed

About

Eli Mozeson is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Eli Mozeson has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 8 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Eli Mozeson's work include Radar Systems and Signal Processing (7 papers), Advanced SAR Imaging Techniques (3 papers) and Ultra-Wideband Communications Technology (2 papers). Eli Mozeson is often cited by papers focused on Radar Systems and Signal Processing (7 papers), Advanced SAR Imaging Techniques (3 papers) and Ultra-Wideband Communications Technology (2 papers). Eli Mozeson collaborates with scholars based in Israel and United States. Eli Mozeson's co-authors include Nadav Levanon, Ting Yuan, Peter Willett and Yaakov Bar‐Shalom and has published in prestigious journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Aerospace and Electronic Systems Magazine and IEE Proceedings - Radar Sonar and Navigation.

In The Last Decade

Eli Mozeson

11 papers receiving 1.4k citations

Hit Papers

Radar Signals 2004 2026 2011 2018 2004 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eli Mozeson Israel 8 1.1k 473 211 191 182 12 1.4k
Gaspare Galati Italy 17 886 0.8× 351 0.7× 107 0.5× 237 1.2× 80 0.4× 132 1.1k
Eli Brookner United States 18 922 0.8× 557 1.2× 327 1.5× 177 0.9× 64 0.4× 93 1.6k
Eric L. Mokole United States 18 1.2k 1.1× 676 1.4× 178 0.8× 82 0.4× 122 0.7× 56 1.6k
Bassem R. Mahafza United States 10 880 0.8× 395 0.8× 97 0.5× 176 0.9× 69 0.4× 23 1.3k
Brian D. Rigling United States 27 1.5k 1.3× 306 0.6× 229 1.1× 212 1.1× 159 0.9× 127 1.8k
Hongbo Sun Singapore 20 1000 0.9× 279 0.6× 172 0.8× 93 0.5× 163 0.9× 86 1.4k
Zhiwei Yang China 22 1.5k 1.3× 386 0.8× 167 0.8× 132 0.7× 148 0.8× 80 1.7k
Satyabrata Sen United States 15 851 0.8× 341 0.7× 261 1.2× 139 0.7× 126 0.7× 60 1.1k
P.E. Pace United States 17 622 0.6× 391 0.8× 171 0.8× 368 1.9× 47 0.3× 75 1.1k
Mateusz Malanowski Poland 23 1.8k 1.6× 456 1.0× 162 0.8× 287 1.5× 203 1.1× 149 2.0k

Countries citing papers authored by Eli Mozeson

Since Specialization
Citations

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

Fields of papers citing papers by Eli Mozeson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eli Mozeson

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

All Works

12 of 12 papers shown
1.
Yuan, Ting, et al.. (2012). A Multiple IMM Estimation Approach with Unbiased Mixing for Thrusting Projectiles. IEEE Transactions on Aerospace and Electronic Systems. 48(4). 3250–3267. 51 indexed citations
2.
Yuan, Ting, et al.. (2011). A multiple IMM approach with unbiased mixing for thrusting projectiles. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8050. 805006–805006. 5 indexed citations
3.
Levanon, Nadav & Eli Mozeson. (2005). Radar signals - [Book Review. IEEE Aerospace and Electronic Systems Magazine. 20(11). 32–33. 2 indexed citations
4.
Levanon, Nadav & Eli Mozeson. (2004). Orthogonal train of modified Costas pulses. 72. 255–259. 7 indexed citations
5.
Levanon, Nadav & Eli Mozeson. (2004). Radar Signals. 1097 indexed citations breakdown →
6.
Levanon, Nadav & Eli Mozeson. (2004). Modified Costas Signal. IEEE Transactions on Aerospace and Electronic Systems. 40(3). 946–953. 20 indexed citations
7.
Mozeson, Eli & Nadav Levanon. (2003). Multicarrier radar signals with low peak-to-mean envelope power ratio. IEE Proceedings - Radar Sonar and Navigation. 150(2). 71–77. 56 indexed citations
8.
9.
Levanon, Nadav & Eli Mozeson. (2003). Nullifying ACF grating lobes in stepped-frequency train of LFM pulses. IEEE Transactions on Aerospace and Electronic Systems. 39(2). 694–703. 84 indexed citations
10.
Mozeson, Eli & Nadav Levanon. (2003). Removing autocorrelation sidelobes by overlaying orthogonal coding on any train of identical pulses. IEEE Transactions on Aerospace and Electronic Systems. 39(2). 583–603. 23 indexed citations
11.
Levanon, Nadav & Eli Mozeson. (2002). Multicarrier radar signal - pulse train and CW. IEEE Transactions on Aerospace and Electronic Systems. 38(2). 707–720. 65 indexed citations
12.
Mozeson, Eli & Nadav Levanon. (2002). MATLAB code for plotting ambiguity functions. IEEE Transactions on Aerospace and Electronic Systems. 38(3). 1064–1068. 16 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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