Inge Gavăt

466 citations
52 papers · 325 · h-index 10

Impact in

Papers in

    • Speech and Audio Processing 22
    • Music and Audio Processing 6
    • Speech Recognition and Synthesis 23
    • Neural Networks and Applications 7
    • Speech and dialogue systems 5

Inge Gavăt

46 papers receiving 304 citations

Peers

Inge Gavăt
Comparison fields: 5 of 57
  • Media Technology 145
  • Signal Processing 84
  • Computer Vision and Pattern Recognition 141
  • Artificial Intelligence 112
  • Atmospheric Science 48
Replace Konstantina Fotiadou with:
Konstantina Fotiadou Greece
Christopher F. Barnes United States
Sylvie Philipp‐Foliguet France
Zhong Chen China
M. V. Shapiro United States
N.H. Younan United States
John A. Saghri United States
Hailong Ning China
Xuee Rong China
Inge Gavăt relative to Konstantina Fotiadou Greece Konstantina Fotiadou's profile →
Citations per field
00.5×8.5×
Konstantina Fotiadou · 1×
Citations per year

Countries citing papers authored by Inge Gavăt

Since Specialization
Citations

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

Fields of papers citing papers by Inge Gavăt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Inge Gavăt, 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 Inge Gavăt Line = papers co-authored together Inge Gavăt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201263
2 201152
3 200925
4
Deep learning in very high resolution remote sensing image information mining communication concept
201221
5 201217
6 200615
7 199913
8 200812
9 200210
10 20159
11 20097
12 20097
13 20027
14 20085
15 20104
16 20054
17 20194
18
Spotlight TerraSAR-X Data Modeling using Spectral Space-Variant Measures, for scene Targets and Structure Indexing
20103
19 20023
20 20213

About Inge Gavăt

Inge Gavăt is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology and Atmospheric Science, having authored 52 papers that have together received 325 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (22 papers), Remote-Sensing Image Classification (12 papers), Advanced Image and Video Retrieval Techniques (9 papers), Image Retrieval and Classification Techniques (8 papers), Neural Networks and Applications (7 papers), Music and Audio Processing (6 papers) and Speech and dialogue systems (5 papers). The work is most often cited by research in Media Technology (145 citations), Signal Processing (84 citations), Computer Vision and Pattern Recognition (141 citations), Artificial Intelligence (112 citations) and Atmospheric Science (48 citations). Inge Gavăt has collaborated with scholars based in Romania, Germany and Pakistan. Frequent co-authors include Mihai Datcu, Mihai Datcu, Corneliu Octavian Dumitru, George Suciu, Valentin Enescu and Oana G. Cula. Their work appears in journals such as International Journal of Speech Technology, IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Geoscience and Remote Sensing, Advances in Science Technology and Engineering Systems Journal and PubMed.

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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