M. Gavish

776 citations
13 papers · 582 indexed · h-index 8

Impact in

    • Direction-of-Arrival Estimation Techniques
    • Speech and Audio Processing
    • Antenna Design and Optimization
    • Robotics and Sensor-Based Localization
    • Inertial Sensor and Navigation

Papers in

M. Gavish

13 papers receiving 539 citations

Peers

M. Gavish
Comparison fields: 5 of 35
  • Signal Processing 215
  • Aerospace Engineering 280
  • Artificial Intelligence 247
  • Electrical and Electronic Engineering 318
  • Ocean Engineering 55
Replace Mohammad Ali Sebt with:
Mohammad Ali Sebt Iran
M. Sahmoudi France
D.T. Magill United States
Mehmet B. Güldoǧan Türkiye
Shahar Stein Israel
Alon Amar Israel
Yanbin Zou China
Ji‐An Luo China
A. Zeira United States
Weidong Jiang China
M. Gavish relative to Mohammad Ali Sebt Iran Mohammad Ali Sebt's profile →
Citations per field
00.5×1.5×2.4×
Mohammad Ali Sebt · 1×
Citations per year

Countries citing papers authored by M. Gavish

Since Specialization
Citations

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

Fields of papers citing papers by M. Gavish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 3 scholars most cited alongside M. Gavish, 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 M. Gavish Line = papers co-authored together M. Gavish links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20052
2 200317
3 20021
4 20025
5 199650
6 199315
7 1992260
8 19912
9 199147
10 199037
11 198919
12 1988126
13 19871

About M. Gavish

M. Gavish is a scholar working on Signal Processing, Aerospace Engineering, Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering, having authored 13 papers that have together received 582 indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (7 papers), Speech and Audio Processing (6 papers), Indoor and Outdoor Localization Technologies (5 papers), Antenna Design and Optimization (5 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Advancements in PLL and VCO Technologies (1 paper) and Structural Health Monitoring Techniques (1 paper). The work is most often cited by research in Signal Processing (215 citations), Aerospace Engineering (280 citations), Artificial Intelligence (247 citations), Electrical and Electronic Engineering (318 citations) and Ocean Engineering (55 citations). M. Gavish has collaborated with scholars based in Israel. Frequent co-authors include A.J. Weiss, E. Fogel and I. Kalet. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Communications, IEEE Transactions on Signal Processing, IEEE Transactions on Antennas and Propagation and IEE Proceedings F Radar and Signal Processing.

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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