Guy Revach

1.1k citations
27 papers · 594 · 1 hit paper · h-index 12

Impact in

    • Speech and Audio Processing
    • Direction-of-Arrival Estimation Techniques
    • Target Tracking and Data Fusion in Sensor Networks
    • Neural Networks and Applications
    • Gaussian Processes and Bayesian Inference

Papers in

    • Target Tracking and Data Fusion in Sensor Networks 16
    • Neural Networks and Applications 5
    • Gaussian Processes and Bayesian Inference 5
    • Time Series Analysis and Forecasting 5
    • Direction-of-Arrival Estimation Techniques 4

Guy Revach

25 papers receiving 584 citations

Guy Revach's Hit Papers

KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics 2022 · 273 citations
2730+1+2Years since publication50100150200250

Peers

Guy Revach
Comparison fields: 5 of 65
  • Signal Processing 130
  • Artificial Intelligence 251
  • Control and Systems Engineering 115
  • Aerospace Engineering 119
  • Instrumentation 10
Replace Hongqi Fan with:
Hongqi Fan China
Martin Ulmke Germany
Michael O. Kolawole Nigeria
Dietrich Fränken Germany
B.F. La Scala Australia
Donka Angelova Bulgaria
Roberto Cusani Italy
Carsten Fritsche Sweden
Niklas Wahlström Sweden
Yuming Bo China
Guy Revach relative to Hongqi Fan China Hongqi Fan's profile →
Citations per field
00.5×1.5×
Hongqi Fan · 1×
Citations per year

Countries citing papers authored by Guy Revach

Since Specialization
Citations

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

Fields of papers citing papers by Guy Revach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Guy Revach, 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 Guy Revach Line = papers co-authored together Guy Revach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
Hit paper breakdown →
2022273
2 202346
3 202233
4 202230
5 202130
6 202426
7 202322
8 202319
9 202418
10 202216
11 202214
12 202311
13 202111
14 20239
15 20248
16 20235
17 20235
18 20244
19 20244
20 20252

About Guy Revach

Guy Revach is a scholar working on Artificial Intelligence, Signal Processing, Control and Systems Engineering, Oceanography and Aerospace Engineering, having authored 27 papers that have together received 594 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (16 papers), Neural Networks and Applications (5 papers), Fault Detection and Control Systems (5 papers), Gaussian Processes and Bayesian Inference (5 papers), Time Series Analysis and Forecasting (5 papers), Direction-of-Arrival Estimation Techniques (4 papers), Underwater Acoustics Research (4 papers) and Inertial Sensor and Navigation (3 papers). The work is most often cited by research in Signal Processing (130 citations), Artificial Intelligence (251 citations), Control and Systems Engineering (115 citations), Aerospace Engineering (119 citations) and Instrumentation (10 citations). Guy Revach has collaborated with scholars based in Israel, Netherlands and Switzerland. Frequent co-authors include Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar, Xiaoyong Ni, Tirza Routtenberg, Itzik Klein, Jindřich Duník, Rik Vullings, Kobi Cohen and Oliver Hüsser. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Vehicular Technology, IEEE Sensors Journal, IEEE Signal Processing Magazine and TU/e Research Portal.

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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