Uttam Paudel

561 citations
17 papers · 305 indexed · h-index 8

Uttam Paudel

17 papers receiving 303 citations

Peers

Uttam Paudel
Comparison fields: 5 of 74
  • Management, Monitoring, Policy and Law 126
  • Ecological Modeling 43
  • Acoustics and Ultrasonics 6
  • Global and Planetary Change 102
  • Horticulture 4
Replace Dominique Weber with:
Dominique Weber Switzerland
Changming Yin China
Jörgen Olofsson Sweden
Rebecca K. Gibson Australia
John Mathai United States
Cármen Ferreira Portugal
Thomas Zumbrunnen Switzerland
Valentina Bacciu Italy
Sungjae Park South Korea
Xiaorui Tian China
Uttam Paudel relative to Dominique Weber Switzerland Dominique Weber's profile →
Citations per field
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Citations per year

Countries citing papers authored by Uttam Paudel

Since Specialization
Citations

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

Fields of papers citing papers by Uttam Paudel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Uttam Paudel, 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 Uttam Paudel Line = papers co-authored together Uttam Paudel links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20234
2 20221
3 202113
4 20209
5 20201
6 20207
7 20201
8 20201
9 201931
10 20181
11 201780
12 201717
13 201648
14
Analysis of the landslides in Hiroshima caused by the typhoon-12 based on bivariate statistical landslide susceptibility
20151
15 201521
16 201564
17
Implementation of Random Forest in landslide susceptibility study, a case study of the Tokamachi area, Niigata, Japan
20145

About Uttam Paudel

Uttam Paudel is a scholar working on Management, Monitoring, Policy and Law, Development and Ecological Modeling, having authored 17 papers that have together received 305 indexed citations. Recurring topics across this work include Landslides and related hazards (4 papers), Neural Networks and Reservoir Computing (3 papers), Flood Risk Assessment and Management (3 papers), Optical Network Technologies (3 papers), Advanced Memory and Neural Computing (2 papers), Hydrology and Watershed Management Studies (2 papers), Photonic and Optical Devices (2 papers) and Quantum Information and Cryptography (2 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (126 citations), Ecological Modeling (43 citations) and Acoustics and Ultrasonics (6 citations). Uttam Paudel has collaborated with scholars based in United States, Japan and Nepal. Frequent co-authors include Takashi Oguchi, Yuichi S. Hayakawa, Jie Dou, Suman Chakraborti, Malay Pramanik, Biswajit Mondal, Shoichiro Uchiyama, George C. Valley, Xia Li and Kuan-Tsung Chang. Their work appears in journals such as Optics Express, Hydrology research, Terrestrial Atmospheric and Oceanic Sciences, Land Use Policy and Climate Risk 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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