Harsh Beria

585 citations
17 papers · 340 · h-index 8

Impact in

Papers in

Harsh Beria

15 papers receiving 340 citations

Peers

Harsh Beria
Comparison fields: 5 of 45
  • Water Science and Technology 187
  • Geochemistry and Petrology 77
  • Atmospheric Science 198
  • Environmental Engineering 111
  • Global and Planetary Change 146
Replace Gonzalo Sapriza‐Azuri with:
Gonzalo Sapriza‐Azuri Canada
Edison Timbe Ecuador
Katherine H. Markovich United States
Yi Nan China
Xinggang Ma China
Yoichi Iwami Japan
J. Götzinger Germany
Mani Kant Verma India
Sebastian Gnann United Kingdom
C. Golaz France
Harsh Beria relative to Gonzalo Sapriza‐Azuri Canada Gonzalo Sapriza‐Azuri's profile →
Citations per field
00.5×1.5×1.8×
Gonzalo Sapriza‐Azuri · 1×
Citations per year

Countries citing papers authored by Harsh Beria

Since Specialization
Citations

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

Fields of papers citing papers by Harsh Beria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2018104
2 201688
3 201752
4 202025
5 202022
6 202118
7 20248
8 20237
9 20236
10 20203
11
Quantification of snowmelt processes in a high Alpine catchment from hydrographs, satellite images and stable water isotopes
20182
12 20202
13 20201
14 20201
15
IMPROVING HYDROLOGIC MODEL REALISM USING STABLE WATER ISOTOPES IN THE SWISS ALPS
20201
16 20250
17 20250

About Harsh Beria

Harsh Beria is a scholar working on Water Science and Technology, Atmospheric Science, Global and Planetary Change, Environmental Engineering and Geochemistry and Petrology, having authored 17 papers that have together received 340 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (16 papers), Cryospheric studies and observations (8 papers), Precipitation Measurement and Analysis (5 papers), Flood Risk Assessment and Management (4 papers), Groundwater and Isotope Geochemistry (3 papers), Climate change and permafrost (3 papers), Groundwater flow and contamination studies (2 papers) and Hydrological Forecasting Using AI (2 papers). The work is most often cited by research in Water Science and Technology (187 citations), Geochemistry and Petrology (77 citations), Atmospheric Science (198 citations), Environmental Engineering (111 citations) and Global and Planetary Change (146 citations). Harsh Beria has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Chandranath Chatterjee, Bettina Schaefli, Anthony Michelon, Natalie Ceperley, Joshua Larsen, Bhabagrahi Sahoo, Torsten Vennemann, Deepak Singh Bisht, Lionel Benoît and Giulia Zuecco. Their work appears in journals such as Hydrology and earth system sciences, Geoscientific model development, Journal of Hydrology, Ecohydrology and Hydrological Processes.

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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