Prem Chandra Pandey

2.2k citations
49 papers · 1.2k indexed · 1 hit paper · h-index 19
Topics
Remote Sensing in Agriculture (21 papers)Land Use and Ecosystem Services (12 papers)Remote Sensing and LiDAR Applications (6 papers)

In The Last Decade

Prem Chandra Pandey

48 papers receiving 1.1k citations

Hit Papers

Highlighting the role of agriculture and geospatial techn...20232026202420252023255075

Peers

Prem Chandra Pandey
Comparison fields: 5 of 100
  • Global and Planetary Change 494
  • Ecology 437
  • Environmental Engineering 372
  • Atmospheric Science 154
  • Media Technology 132
Replace Ali Asghar Darvishsefat with:
Ali Asghar Darvishsefat Iran
Fethi Ahmed South Africa
Cláudia Maria de Almeida Brazil
Qiuyan Yu United States
He Li China
Haoming Xia China
Haiying Zhang China
Marco Vizzari Italy
Kenneth Grogan Denmark
Faisal Mumtaz China
Prem Chandra Pandey relative to Ali Asghar Darvishsefat Iran Ali Asghar Darvishsefat's profile →
Citations per field
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Ali Asghar Darvishsefat · 1×
Citations per year

Countries citing papers authored by Prem Chandra Pandey

Since Specialization
Citations

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

Fields of papers citing papers by Prem Chandra Pandey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prem Chandra Pandey. 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 Prem Chandra Pandey. The network helps show where Prem Chandra Pandey may publish in the future.

Co-authorship network of co-authors of Prem Chandra Pandey

This figure shows the co-authorship network connecting the top 25 collaborators of Prem Chandra Pandey. A scholar is included among the top collaborators of Prem Chandra Pandey 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 Prem Chandra Pandey. Prem Chandra Pandey 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 2
2 2
3 1
4 2
5 2
6 13
7 3
8 2
9 18
10 48
11 32
12 23
13 20
14 57
15 127
16 9
17
APPRAISAL OF SUITABILITY FOR URBAN PLANNING AND EXPANSION ANALYSIS USING QUICK BIRD SATELLITE DATA
1
18 47
19 55
20 9

About Prem Chandra Pandey

Prem Chandra Pandey is a scholar working on Ecological Modeling, Global and Planetary Change and Ecology, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (21 papers), Land Use and Ecosystem Services (12 papers) and Remote Sensing and LiDAR Applications (6 papers). The work is most often cited by research in Environmental Engineering (372 citations), Global and Planetary Change (494 citations) and Ecology (437 citations). Prem Chandra Pandey has collaborated with scholars based in India, United Kingdom and Greece. Frequent co-authors include Prashant K. Srivastava, Mahendra Singh Nathawat, Manish Pandey, George P. Petropoulos, Laxmi Kant Sharma, Pavan Kumar, Meenu Rani, Akash Anand, L. K. Sharma and Eyal Ben Dor. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry 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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