Jonah Gamba

444 citations
10 papers · 290 · h-index 5

Impact in

Papers in

Jonah Gamba

8 papers receiving 285 citations

Peers

Jonah Gamba
Comparison fields: 5 of 59
  • Global and Planetary Change 203
  • Building and Construction 65
  • Environmental Engineering 64
  • Health, Toxicology and Mutagenesis 44
  • Atmospheric Science 52
Replace Ankita Saxena with:
Ankita Saxena India
Lina Lv China
Zhijian He China
Emiliano Ferreira Castejon Brazil
Abdulrazzaq Shaamala Australia
Dietrich Schröder Germany
Shaohua Wang China
Naoki Tsurusaki Japan
Weiran Xing China
Qirui Wu China
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Citations per field
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Citations per year

Countries citing papers authored by Jonah Gamba

Since Specialization
Citations

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

Fields of papers citing papers by Jonah Gamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Jonah Gamba, 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 Jonah Gamba Line = papers co-authored together Jonah Gamba links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2015160
2 201352
3 201939
4 201420
5 202113
6
Explicit frequency domain noise compensation for time delay estimation
20033
7
A New Method of Noise Variance Estimation from Low-Order Yule-Walker Equations
20042
8
Performance evaluation of visual cryptography schemes with intensity transformations for gray-scale images
20101
9
Two-dimensional spectral estimation with noise-compensated data extrapolation
20020
10 20080

About Jonah Gamba

Jonah Gamba is a scholar working on Global and Planetary Change, Control and Systems Engineering, Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 290 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (4 papers), Blind Source Separation Techniques (3 papers), Advanced Adaptive Filtering Techniques (3 papers), Remote Sensing in Agriculture (2 papers), Remote Sensing and Land Use (2 papers), Urban Green Space and Health (1 paper), Urban and Rural Development Challenges (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Global and Planetary Change (203 citations), Building and Construction (65 citations), Environmental Engineering (64 citations), Health, Toxicology and Mutagenesis (44 citations) and Atmospheric Science (52 citations). Jonah Gamba has collaborated with scholars based in Japan, Botswana and Zimbabwe. Frequent co-authors include Courage Kamusoko, Tetsuya Shimamura, Shuji Kawasaki and Atsushi Koike. Their work appears in journals such as ISPRS International Journal of Geo-Information, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, Land, Signals and communication technology and MDPI (MDPI AG).

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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