Rabindra Kumar Panda

1.2k citations
43 papers · 920 · h-index 16

Impact in

Papers in

Rabindra Kumar Panda

42 papers receiving 892 citations

Peers

Rabindra Kumar Panda
Comparison fields: 5 of 70
  • Water Science and Technology 463
  • Environmental Engineering 460
  • Global and Planetary Change 407
  • Soil Science 171
  • Atmospheric Science 131
Replace R. D. Singh with:
R. D. Singh India
Ankur Srivastava Australia
Andrea Gioia Italy
Chiara Corbari Italy
Lineu Neiva Rodrigues Brazil
Hiroshi Yasuda Japan
Gerald Corzo Netherlands
Mohammad Javad Zareian Iran
Daniele Masseroni Italy
Mohammad Taghi Dastorani Iran
Rabindra Kumar Panda relative to R. D. Singh India R. D. Singh's profile →
Citations per field
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R. D. Singh · 1×
Citations per year

Countries citing papers authored by Rabindra Kumar Panda

Since Specialization
Citations

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

Fields of papers citing papers by Rabindra Kumar Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rabindra Kumar Panda. 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 Rabindra Kumar Panda. The network helps show where Rabindra Kumar Panda may publish in the future.

Co-authors

The 25 scholars most cited alongside Rabindra Kumar Panda, 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 Rabindra Kumar Panda Line = papers co-authored together Rabindra Kumar Panda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017107
2 2009106
3 2010103
4 200987
5 201055
6 202243
7 201938
8 201737
9 201932
10 202028
11 201828
12 200926
13 201924
14 202022
15 202119
16 201416
17 202013
18 202212
19 202112
20
Appropriate data normalization range for daily river flow forecasting using an artificial neural network.
200911

About Rabindra Kumar Panda

Rabindra Kumar Panda is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Civil and Structural Engineering and Soil Science, having authored 43 papers that have together received 920 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (17 papers), Hydrology and Drought Analysis (10 papers), Hydrological Forecasting Using AI (8 papers), Climate variability and models (7 papers), Soil Moisture and Remote Sensing (7 papers), Soil and Unsaturated Flow (6 papers), Precipitation Measurement and Analysis (5 papers) and Groundwater and Watershed Analysis (5 papers). The work is most often cited by research in Water Science and Technology (463 citations), Environmental Engineering (460 citations), Global and Planetary Change (407 citations), Soil Science (171 citations) and Atmospheric Science (131 citations). Rabindra Kumar Panda has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Niranjan Pramanik, Gurjeet Singh, Meenu Ramadas, Binayak P. Mohanty, Dhrubajyoti Sen, Adarsh Singh, Suraj Jena, R. K. Srivastava, Bhabagrahi Sahoo and Archana Nair. Their work appears in journals such as Hydrological Processes, Journal of Hydroinformatics, Water Resources Research, Journal of Hydrologic Engineering 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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