Lino Schmid

1.1k citations
25 papers · 620 · h-index 12

Impact in

Papers in

Lino Schmid

24 papers receiving 597 citations

Peers

Lino Schmid
Comparison fields: 5 of 49
  • Atmospheric Science 475
  • Management, Monitoring, Policy and Law 233
  • Environmental Engineering 96
  • Water Science and Technology 76
  • Ocean Engineering 58
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Gary Koh United States
Silvan Leinss Switzerland
Marco Brogioni Italy
Florence Hélière Netherlands
Ding Liang United States
Mustafa Aksoy United States
S. Gogineni United States
R. W. Newton United States
Thomas R. Chudley United Kingdom
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Citations per year

Countries citing papers authored by Lino Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Lino Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201593
2 200571
3 201458
4 202153
5 201552
6 201451
7 201949
8 201543
9 201830
10 201828
11 201427
12 201824
13 202310
14 20168
15 20185
16 20064
17
A unique time series of daily and weekly snowpack measurements at Weissfluh-Joch, Davos, Switzerland
20162
18
Comparison of Measured and Modelled Snow Cover Liquid Water Content to Improve Local Wet-Snow Avalanche Prediction
20162
19
Tracking Wetting Front Adavance With Upward-Looking Ground-Penetrating Radar
20122
20 20062

About Lino Schmid

Lino Schmid is a scholar working on Atmospheric Science, Management, Monitoring, Policy and Law, Environmental Engineering, Atomic and Molecular Physics, and Optics and Ocean Engineering, having authored 25 papers that have together received 620 indexed citations. Recurring topics across this work include Cryospheric studies and observations (19 papers), Landslides and related hazards (17 papers), Climate change and permafrost (6 papers), Soil Moisture and Remote Sensing (5 papers), Precipitation Measurement and Analysis (4 papers), Geophysical Methods and Applications (4 papers), Quantum and electron transport phenomena (4 papers) and Molecular Junctions and Nanostructures (3 papers). The work is most often cited by research in Atmospheric Science (475 citations), Management, Monitoring, Policy and Law (233 citations), Environmental Engineering (96 citations), Water Science and Technology (76 citations) and Ocean Engineering (58 citations). Lino Schmid has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Jürg Schweizer, Olaf Eisen, Achim Heilig, Monika Prasch, Wolfram Mauser, Franziska Koch, Nander Wever, Hansruedi Maurer, Christoph Mitterer and Charles Fierz. Their work appears in journals such as Journal of Glaciology, Geophysics, Cold Regions Science and Technology, ˜The œcryosphere 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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