Johannes Schöber

964 total citations
22 papers, 538 citations indexed

About

Johannes Schöber is a scholar working on Atmospheric Science, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Johannes Schöber has authored 22 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 15 papers in Water Science and Technology and 3 papers in Environmental Engineering. Recurrent topics in Johannes Schöber's work include Cryospheric studies and observations (20 papers), Hydrology and Watershed Management Studies (15 papers) and Climate change and permafrost (11 papers). Johannes Schöber is often cited by papers focused on Cryospheric studies and observations (20 papers), Hydrology and Watershed Management Studies (15 papers) and Climate change and permafrost (11 papers). Johannes Schöber collaborates with scholars based in Austria, Germany and United Kingdom. Johannes Schöber's co-authors include Stefan Achleitner, Paul Schattan, R. Kirnbauer, Kay Helfricht, Hans‐Peter Marshall, Christoph Marty, Isis Brangers, Hans Lievens, Tobias Jonas and Tuomo Saloranta and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Johannes Schöber

21 papers receiving 531 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Johannes Schöber Austria 11 471 169 126 100 100 22 538
Donald W. Cline United States 12 832 1.8× 260 1.5× 222 1.8× 100 1.0× 196 2.0× 20 928
Ali Arda Şorman Türkiye 13 539 1.1× 356 2.1× 126 1.0× 49 0.5× 281 2.8× 41 696
Julie Z. Miller United States 12 355 0.8× 38 0.2× 75 0.6× 108 1.1× 121 1.2× 26 436
Ahmet Emre Tekeli Türkiye 13 604 1.3× 259 1.5× 123 1.0× 49 0.5× 261 2.6× 30 727
Jean F. Schneider Austria 7 207 0.4× 41 0.2× 55 0.4× 130 1.3× 82 0.8× 13 337
Jaydeo K. Dharpure India 11 158 0.3× 75 0.4× 58 0.5× 32 0.3× 124 1.2× 19 303
Purushottam Kumar Garg India 14 547 1.2× 56 0.3× 55 0.4× 150 1.5× 102 1.0× 36 676
Walter Rosenthal United States 8 491 1.0× 163 1.0× 75 0.6× 128 1.3× 100 1.0× 12 619
Pengfei Han China 9 200 0.4× 194 1.1× 55 0.4× 16 0.2× 195 1.9× 12 400
Paul Schattan Austria 8 177 0.4× 52 0.3× 93 0.7× 25 0.3× 37 0.4× 14 249

Countries citing papers authored by Johannes Schöber

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Schöber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Schöber

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Schöber. A scholar is included among the top collaborators of Johannes Schöber 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 Johannes Schöber. Johannes Schöber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Schattan, Paul, Gabriele Schwaizer, Johannes Schöber, & Stefan Achleitner. (2019). The complementary value of cosmic-ray neutron sensing and snow covered area products for snow hydrological modelling. Remote Sensing of Environment. 239. 111603–111603. 20 indexed citations
3.
Lievens, Hans, Matthias Demuzere, Hans‐Peter Marshall, et al.. (2019). Snow depth variability in the Northern Hemisphere mountains observed from space. Nature Communications. 10(1). 4629–4629. 235 indexed citations
4.
Fey, Christine, Paul Schattan, Kay Helfricht, & Johannes Schöber. (2019). A compilation of multitemporal TLS snow depth distribution maps at the Weisssee snow research site (Kaunertal, Austria). Water Resources Research. 55(6). 5154–5164. 17 indexed citations
5.
Förster, Kristian, Florian Hanzer, Adam A. Scaife, et al.. (2018). Retrospective forecasts of the upcoming winter season snow accumulation in the Inn headwaters (European Alps). Hydrology and earth system sciences. 22(2). 1157–1173. 5 indexed citations
6.
Schattan, Paul, Gabriele Baroni, Sascha E. Oswald, et al.. (2018). Vom Punkt zur Fläche in der Messung des Wasseräquivalents der Schneedecke – Mehrwert von Cosmic-Ray Neutron Sensoren in der regionalen Schneemodellierung. Österreichische Wasser- und Abfallwirtschaft. 70(9-10). 497–506. 1 indexed citations
7.
8.
Achleitner, Stefan & Johannes Schöber. (2017). Weiße Wasserspeicher – Analyse und Modellierung der Schneedichte in den österreichischen Alpen und Alpenvorländern. Österreichische Wasser- und Abfallwirtschaft. 69(3-4). 171–179. 1 indexed citations
9.
Achleitner, Stefan, et al.. (2017). Geschiebehaushalt in kleinen Hochgebirgsbächen der Nordtiroler Zentralalpen. Österreichische Wasser- und Abfallwirtschaft. 69(3-4). 114–124. 1 indexed citations
10.
Kirnbauer, R., et al.. (2017). The Kühtai data set: 25 years of lysimetric, snow pillow, and meteorological measurements. Water Resources Research. 53(6). 5158–5165. 13 indexed citations
11.
Schattan, Paul, Gabriele Baroni, Sascha E. Oswald, et al.. (2017). Continuous monitoring of snowpack dynamics in alpine terrain by aboveground neutron sensing. Water Resources Research. 53(5). 3615–3634. 71 indexed citations
12.
Schöber, Johannes, et al.. (2015). Analysis and modelling of snow bulk density in the Tyrolean Alps. Hydrology research. 47(2). 419–441. 13 indexed citations
13.
Schöber, Johannes. (2014). Improved snow and runoff modelling of glacierized catchments for flood forecasting / Johannes Schöber. 1 indexed citations
14.
Schöber, Johannes, Katrin Schneider, Kay Helfricht, et al.. (2014). Snow cover characteristics in a glacierized catchment in the Tyrolean Alps - Improved spatially distributed modelling by usage of Lidar data. Journal of Hydrology. 519. 3492–3510. 36 indexed citations
15.
Helfricht, Kay, Johannes Schöber, Katrin Schneider, Rudolf Sailer, & Michael Kühn. (2014). Interannual persistence of the seasonal snow cover in a glacierized catchment. Journal of Glaciology. 60(223). 889–904. 35 indexed citations
16.
Achleitner, Stefan, et al.. (2012). The impact of different elevation steps on simulation of snow covered area and the resulting runoff variance. Advances in geosciences. 32. 69–76. 4 indexed citations
17.
Helfricht, Kay, et al.. (2012). Snow accumulation of a high alpine catchment derived from LiDAR measurements. Advances in geosciences. 32. 31–39. 16 indexed citations
18.
Schöber, Johannes, et al.. (2012). Impact of snow state variation for design flood simulations in glacierized catchments. Advances in geosciences. 31. 39–48. 4 indexed citations
19.
Achleitner, Stefan, et al.. (2011). Analyzing the operational performance of the hydrological models in an alpine flood forecasting system. Journal of Hydrology. 412-413. 90–100. 26 indexed citations
20.

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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