M. Suklitsch

990 citations
12 papers · 445 indexed · h-index 7
Topics
Meteorological Phenomena and Simulations (9 papers)Climate variability and models (9 papers)Cryospheric studies and observations (6 papers)

In The Last Decade

M. Suklitsch

12 papers receiving 442 citations

Peers

M. Suklitsch
Comparison fields: 5 of 35
  • Global and Planetary Change 411
  • Atmospheric Science 378
  • Water Science and Technology 48
  • Environmental Engineering 23
  • Ecology, Evolution, Behavior and Systematics 20
Replace J. P. Iorio with:
J. P. Iorio United States
N. K. Awan Austria
Lin Ouyang China
Nidhi Nishant Australia
Pierre Honoré Kamsu Tamo Cameroon
Josefina Blázquez Argentina
A. Mhanda Germany
Pradeebane Vaittinada Ayar France
José Abraham Torres‐Alavez Italy
M. Suklitsch relative to J. P. Iorio United States J. P. Iorio's profile →
Citations per field
00.5×8.2×
J. P. Iorio · 1×
Citations per year

Countries citing papers authored by M. Suklitsch

Since Specialization
Citations

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

Fields of papers citing papers by M. Suklitsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Suklitsch

This figure shows the co-authorship network connecting the top 25 collaborators of M. Suklitsch. A scholar is included among the top collaborators of M. Suklitsch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Suklitsch. M. Suklitsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1
Forecasting of Severe Weather in Austria and Hungary Using High-Resolution Ensemble Prediction System
1
2 59
3 1
4 14
5 3
6 1
7
SNOWGRID – A New Operational Snow Cover Model in Austria
11
8 228
9
Added Value of Convection Resolving Climate Simulations
1
10 63
11 49
12 14

About M. Suklitsch

M. Suklitsch is a scholar working on Atmospheric Science, Global and Planetary Change and Management, Monitoring, Policy and Law, having authored 12 papers that have together received 445 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (9 papers), Climate variability and models (9 papers) and Cryospheric studies and observations (6 papers). The work is most often cited by research in Atmospheric Science (378 citations), Global and Planetary Change (411 citations) and Water Science and Technology (48 citations). M. Suklitsch has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Andreas Gobiet, N. K. Awan, Heimo Truhetz, Andreas F. Prein, Goran Georgievski, Klaus Keuler, G. Heinrich, Christoph Frei, Armin Leuprecht and Daniela Jacob. Their work appears in journals such as Climatic Change, Climate Dynamics and Hydrology and earth system sciences.

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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