Pankaj Singha

1.8k citations
24 papers · 1.3k indexed · 1 hit paper · h-index 12
Topics
Flood Risk Assessment and Management (17 papers)Land Use and Ecosystem Services (8 papers)Hydrology and Watershed Management Studies (8 papers)
Partner nations
IndiaUnited StatesJapan

In The Last Decade

Pankaj Singha

22 papers receiving 1.3k citations

Hit Papers

Land-Use Land-Cover Classification by Machine Learning Cl...20202026202220242020250500750

Peers

Pankaj Singha
Comparison fields: 5 of 80
  • Global and Planetary Change 893
  • Ecology 528
  • Environmental Engineering 304
  • Atmospheric Science 267
  • Media Technology 238
Replace Frank Thonfeld with:
Frank Thonfeld Germany
Fenglei Fan China
S. Mohammad Mirmazloumi Spain
Gang Han China
Shuai Xie China
Chaoying He China
Vitor S. Martins United States
Faisal Mumtaz China
Pankaj Singha relative to Frank Thonfeld Germany Frank Thonfeld's profile →
Citations per field
00.5×1.7×
Frank Thonfeld · 1×
Citations per year

Countries citing papers authored by Pankaj Singha

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Singha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Singha

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Singha. A scholar is included among the top collaborators of Pankaj Singha 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 Pankaj Singha. Pankaj Singha 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 1
4 5
5 1
6 3
7 2
8 8
9 11
10 20
11 30
12 14
13 5
14 66
15 19
16 14
17 49
18 33
19
Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Reviewbreakdown →
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20 32

About Pankaj Singha

Pankaj Singha is a scholar working on Global and Planetary Change, Water Science and Technology and Soil Science, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (17 papers), Land Use and Ecosystem Services (8 papers) and Hydrology and Watershed Management Studies (8 papers). The work is most often cited by research in Global and Planetary Change (893 citations), Media Technology (238 citations) and Environmental Engineering (304 citations). Pankaj Singha has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Swades Pal, Swapan Talukdar, Susanta Mahato, Atiqur Rahman, Shahfahad, Yuei‐An Liou, Bushra Praveen, Sandipta Debanshi, Tamal Kanti Saha and Swades Pal. Their work appears in journals such as The Science of The Total Environment, Journal of Cleaner Production and Journal of Environmental Management.

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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