Pascal Larzabal

170 papers receiving 2k citations

Pascal Larzabal's Hit Papers

Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis 2007 · 301 citations
3010+6+12Years since publication100200300

Peers

Pascal Larzabal
Comparison fields: 5 of 48
  • Signal Processing 725
  • Computational Mathematics 38
  • Aerospace Engineering 767
  • Statistics and Probability 171
  • Applied Mathematics 172
Replace Philippe Forster with:
Philippe Forster France
Esa Ollila Finland
Olivier Besson France
Kon Max Wong Canada
Joseph Tabrikian Israel
Javier Vía Spain
S. Unnikrishna Pillai United States
Philippe Loubaton France
Fulvio Gini Italy
Frédéric Pascal France
Pascal Larzabal relative to Philippe Forster France Philippe Forster's profile →
Citations per field
00.5×1.7×
Philippe Forster · 1×
Citations per year

Countries citing papers authored by Pascal Larzabal

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Larzabal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pascal Larzabal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pascal Larzabal Line = papers co-authored together Pascal Larzabal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis
Hit paper breakdown →
2007301
2 2008145
3 200687
4 200664
5 200862
6 200658
7 201058
8 200856
9 201152
10 200836
11 200432
12 201529
13 201629
14 200227
15 201127
16 200726
17 200225
18 200324
19 201324
20 200523

About Pascal Larzabal

Pascal Larzabal is a scholar working on Signal Processing, Aerospace Engineering, Applied Mathematics, Astronomy and Astrophysics and Artificial Intelligence, having authored 187 papers that have together received 2.1k indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (95 papers), Radar Systems and Signal Processing (46 papers), Radio Astronomy Observations and Technology (19 papers), Target Tracking and Data Fusion in Sensor Networks (19 papers), Control Systems and Identification (19 papers), Statistical and numerical algorithms (15 papers), Sparse and Compressive Sensing Techniques (13 papers) and Advanced Wireless Communication Techniques (11 papers). The work is most often cited by research in Signal Processing (725 citations), Computational Mathematics (38 citations), Aerospace Engineering (767 citations), Statistics and Probability (171 citations) and Applied Mathematics (172 citations). Pascal Larzabal has collaborated with scholars based in France, Germany and Brazil. Frequent co-authors include Philippe Forster, Éric Chaumette, Anne Ferréol, Frédéric Pascal, Jean‐Philippe Ovarlez, Alexandre Renaux, Yacine Chitour, Mats Viberg, Rémy Boyer and Jean‐Pierre Barbot. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Aerospace and Electronic Systems and Electronics Letters.

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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