Pravesh Debba

1.0k citations
38 papers · 797 indexed · h-index 12
Topics
Remote Sensing in Agriculture (12 papers)Remote-Sensing Image Classification (11 papers)Geochemistry and Geologic Mapping (11 papers)

In The Last Decade

Pravesh Debba

34 papers receiving 775 citations

Peers

Pravesh Debba
Comparison fields: 5 of 91
  • Ecology 387
  • Environmental Engineering 273
  • Media Technology 247
  • Artificial Intelligence 172
  • Global and Planetary Change 144
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Satya Kalluri United States
Federico Filipponi Italy
Yanchen Bo China
Chunyuan Diao United States
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Countries citing papers authored by Pravesh Debba

Since Specialization
Citations

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

Fields of papers citing papers by Pravesh Debba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pravesh Debba

This figure shows the co-authorship network connecting the top 25 collaborators of Pravesh Debba. A scholar is included among the top collaborators of Pravesh Debba based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pravesh Debba. Pravesh Debba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 4
4 14
5 13
6
Spatial variation in the basic reproduction number of COVID-19: A systematic review
1
7 2
8 4
9
The applicability of the South African census 2011 data for evidence-based urban planning
1
10 3
11 184
12 3
13
Optimal spatial sampling scheme to characterize mine tailings
1
14 3
15 101
16
Methodology to unmix spectrally similar minerals using high order derivative spectra
2
17 5
18 3
19
Spatial and temporal patterns of global H5N1 outbreaks
11
20
Geochemical sampling scheme optimization on mine wastes based on hyperspectral data
3

About Pravesh Debba

Pravesh Debba is a scholar working on Modeling and Simulation, Media Technology and Ecological Modeling, having authored 38 papers that have together received 797 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (12 papers), Remote-Sensing Image Classification (11 papers) and Geochemistry and Geologic Mapping (11 papers). The work is most often cited by research in Ecological Modeling (123 citations), Media Technology (247 citations) and Environmental Engineering (273 citations). Pravesh Debba has collaborated with scholars based in South Africa, Netherlands and United States. Frequent co-authors include Moses Azong Cho, Renaud Mathieu, F.D. van der Meer, Laven Naidoo, Gregory P. Asner, Jan van Aardt, Alfred Stein, Emmanuel John M. Carranza, F.J.A. van Ruitenbeek and Abel Ramoelo. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

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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