George Stantchev

721 citations
21 papers · 481 · 1 hit paper · h-index 5

Impact in

Papers in

George Stantchev

17 papers receiving 460 citations

George Stantchev's Hit Papers

Deep Learning for RF Device Fingerprinting in Cognitive Communication Networks 2018 · 377 citations
3770+2+5Years since publication100200300

Peers

George Stantchev
Comparison fields: 5 of 53
  • Artificial Intelligence 342
  • Signal Processing 93
  • Aerospace Engineering 132
  • Computer Vision and Pattern Recognition 91
  • Electrical and Electronic Engineering 206
Replace Meiguo Gao with:
Meiguo Gao China
Béatrice Motella Italy
Janusz S. Kulpa Poland
Omar A. Yeste-Ojeda Spain
Samuel Picton Drake Australia
Songyu Yu China
G. López-Risueño Spain
Abhijit Sinha Canada
Albert‐Jan Boonstra Netherlands
M. Antweiler Germany
George Stantchev relative to Meiguo Gao China Meiguo Gao's profile →
Citations per field
00.5×1.5×2.3×
Meiguo Gao · 1×
Citations per year

Countries citing papers authored by George Stantchev

Since Specialization
Citations

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

Fields of papers citing papers by George Stantchev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside George Stantchev, 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 George Stantchev Line = papers co-authored together George Stantchev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning for RF Device Fingerprinting in Cognitive Communication Networks
Hit paper breakdown →
2018377
2 200863
3 201610
4 20096
5 20145
6 20214
7 20203
8 20152
9 20162
10 20152
11 20191
12 20181
13 20181
14 20101
15 20131
16 20161
17 20131
18 20240
19 20080
20 20110

About George Stantchev

George Stantchev is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Astronomy and Astrophysics and Signal Processing, having authored 21 papers that have together received 481 indexed citations. Recurring topics across this work include Gyrotron and Vacuum Electronics Research (6 papers), Electromagnetic Simulation and Numerical Methods (5 papers), Microwave Engineering and Waveguides (5 papers), Radio Frequency Integrated Circuit Design (3 papers), Advanced Data Storage Technologies (3 papers), Magnetic confinement fusion research (3 papers), Particle accelerators and beam dynamics (2 papers) and Ionosphere and magnetosphere dynamics (2 papers). The work is most often cited by research in Artificial Intelligence (342 citations), Signal Processing (93 citations), Aerospace Engineering (132 citations), Computer Vision and Pattern Recognition (91 citations) and Electrical and Electronic Engineering (206 citations). George Stantchev has collaborated with scholars based in United States, France and Singapore. Frequent co-authors include Bryan Nousain, W. Dorland, Nail A. Gumerov, Thomas M. Antonsen, Simon J. Cooke, Amitabh Varshney, Greg McShane, Ser Peow Tan, William M. Goldman and John Petillo. Their work appears in journals such as IEEE Transactions on Signal Processing, Computing in Science & Engineering, Scientific Reports, IEEE Journal of Selected Topics in Signal Processing and Journal of Parallel and Distributed Computing.

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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