Joseph Tabrikian

4.4k citations
154 papers · 3.3k indexed · 1 hit paper · h-index 28
Topics
Direction-of-Arrival Estimation Techniques (70 papers)Blind Source Separation Techniques (40 papers)Speech and Audio Processing (37 papers)
Partner nations
IsraelUnited StatesChina

In The Last Decade

Joseph Tabrikian

144 papers receiving 3.2k citations

Hit Papers

Target Detection and Localization Using MIMO Radars and S...20062026201220192006250500750

Peers

Joseph Tabrikian
Comparison fields: 5 of 94
  • Aerospace Engineering 1.8k
  • Signal Processing 1.6k
  • Artificial Intelligence 667
  • Electrical and Electronic Engineering 659
  • Biomedical Engineering 403
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Joseph Tabrikian relative to Danilo Orlando Italy Danilo Orlando's profile →
Citations per field
00.5×1.5×2.2×
Danilo Orlando · 1×
Citations per year

Countries citing papers authored by Joseph Tabrikian

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Tabrikian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Tabrikian

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Tabrikian. A scholar is included among the top collaborators of Joseph Tabrikian 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 Joseph Tabrikian. Joseph Tabrikian 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
#WorkIndexed citations
1 0
2 0
3 0
4 4
5 47
6 2
7 4
8
A risk-unbiased bound for information fusion with nuisance parameters
2
9
Cyclic Cramér-Rao-type bounds for periodic parameter estimation
3
10
Cyclic Bayesian Cramér-Rao bound for filtering in circular state space
6
11 7
12
Optimal adaptive transmit beamforming for cognitive MIMO sonar in a shallow water waveguide.
9
13 23
14 13
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16
A new Bayesian lower bound on the mean square error of estimators
3
17 5
18 7
19 19
20 3

About Joseph Tabrikian

Joseph Tabrikian is a scholar working on Signal Processing, Oceanography and Aerospace Engineering, having authored 154 papers that have together received 3.3k indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (70 papers), Blind Source Separation Techniques (40 papers) and Speech and Audio Processing (37 papers). The work is most often cited by research in Signal Processing (1.6k citations), Aerospace Engineering (1.8k citations) and Oceanography (366 citations). Joseph Tabrikian has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Igal Bilik, Tirza Routtenberg, R. Shavit, Jeffrey Krolik, Koby Todros, Shahar Villeval, Oren Longman, Hagit Messer, Arnon D. Cohen and Shlomo Dubnov. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

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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