Rabindra Kumar Panda

1.3k citations
43 papers · 941 · h-index 16

Impact in

Papers in

Rabindra Kumar Panda

42 papers receiving 912 citations

Peers

Rabindra Kumar Panda
Comparison fields: 5 of 68
  • Water Science and Technology 469
  • Environmental Engineering 467
  • Global and Planetary Change 414
  • Soil Science 178
  • Atmospheric Science 132
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Citations per field
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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 2017112
2 2009106
3 2010105
4 200987
5 201055
6 202245
7 201939
8 201738
9 201932
10 202030
11 201829
12 201927
13 200926
14 202022
15 202119
16 201416
17 202214
18 202013
19 202113
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 941 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), Flood Risk Assessment and Management (5 papers) and Groundwater and Watershed Analysis (5 papers). The work is most often cited by research in Water Science and Technology (469 citations), Environmental Engineering (467 citations), Global and Planetary Change (414 citations), Soil Science (178 citations) and Atmospheric Science (132 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, International Journal of Climatology and Journal of Hydro-environment Research.

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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