N. Keshava

4.1k citations
12 papers · 3.2k · 2 hit papers · h-index 6

Impact in

Papers in

N. Keshava

11 papers receiving 3.1k citations

N. Keshava's Hit Papers

Spectral unmixing 2002 · 1.7k citations
1.7k0+8+16Years since publication50010001.5k

Peers

N. Keshava
Comparison fields: 5 of 104
  • Media Technology 2.5k
  • Atmospheric Science 1.3k
  • Analytical Chemistry 451
  • Ecology 638
  • Computer Vision and Pattern Recognition 454
Replace Mathieu Fauvel with:
Mathieu Fauvel France
J. Chanussot France
Maurice Craig Australia
Thomas G. Chrien United States
Gregg Vane United States
Marian-Daniel Iordache Belgium
Behnood Rasti Germany
Allan Aasbjerg Nielsen Denmark
Jason Brazile Switzerland
Giovanna Trianni Italy
N. Keshava relative to Mathieu Fauvel France Mathieu Fauvel's profile →
Citations per field
00.5×1.5×
Mathieu Fauvel · 1×
Citations per year

Countries citing papers authored by N. Keshava

Since Specialization
Citations

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

Fields of papers citing papers by N. Keshava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside N. Keshava, 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 N. Keshava Line = papers co-authored together N. Keshava links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Spectral unmixing
Hit paper breakdown →
20021743
2
Spectral unmixing
Hit paper breakdown →
20021132
3 2004271
4 200226
5 199913
6 20198
7 20113
8 20033
9 20022
10 19992
11 20021
12 20020

About N. Keshava

N. Keshava is a scholar working on Media Technology, Aerospace Engineering, Artificial Intelligence, Analytical Chemistry and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 3.2k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Geochemistry and Geologic Mapping (3 papers), Remote Sensing in Agriculture (2 papers), Advanced Image Fusion Techniques (2 papers), NMR spectroscopy and applications (1 paper) and Analysis of environmental and stochastic processes (1 paper). The work is most often cited by research in Media Technology (2.5k citations), Atmospheric Science (1.3k citations), Analytical Chemistry (451 citations), Ecology (638 citations) and Computer Vision and Pattern Recognition (454 citations). N. Keshava has collaborated with scholars based in United States. Frequent co-authors include John F. Mustard, Wen‐Zong Whong, Channa Keshava, Gu Zhou, José M. F. Moura, John P. Kerekes, José J. G. Moura, Carolyn E. Mountford, Saadallah Ramadan and Alexander Lin. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE Transactions on Signal Processing, Mutation research. Fundamental and molecular mechanisms of mutagenesis, IEEE Transactions on Geoscience and Remote Sensing 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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