Ujjwal Narayan

572 citations
15 papers · 480 · h-index 7

Impact in

Papers in

Ujjwal Narayan

12 papers receiving 463 citations

Peers

Ujjwal Narayan
Comparison fields: 5 of 47
  • Environmental Engineering 314
  • Atmospheric Science 253
  • Water Science and Technology 112
  • Global and Planetary Change 109
  • Oceanography 44
Replace Wolfgang Kurtz with:
Wolfgang Kurtz Germany
V. M. Escobar United States
Lu Hu China
Carlos Pérez-Gutiérrez Spain
Raffaele Crapolicchio Italy
Paola Pagliara Italy
Ritesh Agrawal India
Johan van der Knijff Italy
S. Cherchali France
Ardeshir Mohammad Ebtehaj United States
Ujjwal Narayan relative to Wolfgang Kurtz Germany Wolfgang Kurtz's profile →
Citations per field
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Wolfgang Kurtz · 1×
Citations per year

Countries citing papers authored by Ujjwal Narayan

Since Specialization
Citations

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

Fields of papers citing papers by Ujjwal Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Ujjwal Narayan, 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 Ujjwal Narayan Line = papers co-authored together Ujjwal Narayan links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2006125
2 200494
3 200485
4 200861
5 201560
6 201523
7 201013
8 20057
9 20056
10 20043
11 20042
12
Prediction of Seasonal to Inter-annual Hydro-climatology including the Effects of Vegetation Dynamics and Topography over Large River Basins
20081
13 20020
14
Leveraging the DataNet Federation Consortium (DFC) to Support Regional-Scale Hydrologic Modeling (Invited)
20130
15 20260

About Ujjwal Narayan

Ujjwal Narayan is a scholar working on Environmental Engineering, Atmospheric Science, Water Science and Technology, Geology and Aerospace Engineering, having authored 15 papers that have together received 480 indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (7 papers), Soil Moisture and Remote Sensing (7 papers), Hydrology and Watershed Management Studies (4 papers), Climate change and permafrost (3 papers), Environmental Monitoring and Data Management (2 papers), Hydrological Forecasting Using AI (2 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (2 papers) and Solar and Space Plasma Dynamics (1 paper). The work is most often cited by research in Environmental Engineering (314 citations), Atmospheric Science (253 citations), Water Science and Technology (112 citations), Global and Planetary Change (109 citations) and Oceanography (44 citations). Ujjwal Narayan has collaborated with scholars based in United States and India. Frequent co-authors include Venkataraman Lakshmi, Thomas J. Jackson, Chunling Tang, Thomas C. Piechota, Jonathan L. Goodall, James Famiglietti, John Thomas Reager, Reagan Moore, Arcot Rajasekar and John Bolten. Their work appears in journals such as Journal of Electromagnetic Waves and Applications, Water Resources Research, IEEE Transactions on Geoscience and Remote Sensing, Environmental Modelling & Software and Journal of Hydrology.

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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