Jürgen Komma

3.4k total citations
39 papers, 1.5k citations indexed

About

Jürgen Komma is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Jürgen Komma has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Water Science and Technology, 25 papers in Global and Planetary Change and 14 papers in Environmental Engineering. Recurrent topics in Jürgen Komma's work include Hydrology and Watershed Management Studies (30 papers), Flood Risk Assessment and Management (20 papers) and Hydrology and Drought Analysis (12 papers). Jürgen Komma is often cited by papers focused on Hydrology and Watershed Management Studies (30 papers), Flood Risk Assessment and Management (20 papers) and Hydrology and Drought Analysis (12 papers). Jürgen Komma collaborates with scholars based in Austria, Slovakia and Germany. Jürgen Komma's co-authors include Günter Blöschl, Christian Reszler, Juraj Párajka, Thomas Nester, Alberto Viglione, Rui A. P. Perdigão, Magdalena Rogger, Wolfgang Wagner, Thomas Haiden and R. Kirnbauer and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Jürgen Komma

38 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jürgen Komma Austria 18 1.1k 1.0k 499 376 100 39 1.5k
Saeed Golian Iran 22 1.2k 1.1× 587 0.6× 658 1.3× 379 1.0× 66 0.7× 59 1.6k
Il‐Won Jung South Korea 21 1.4k 1.3× 1.2k 1.2× 534 1.1× 359 1.0× 114 1.1× 56 1.8k
Manuela I. Brunner Switzerland 25 1.4k 1.4× 1.1k 1.0× 392 0.8× 262 0.7× 112 1.1× 73 1.8k
Mohammad Reza Najafi Canada 25 1.6k 1.5× 754 0.7× 900 1.8× 309 0.8× 78 0.8× 77 2.0k
Charles Onyutha Uganda 25 1.1k 1.1× 596 0.6× 371 0.7× 192 0.5× 64 0.6× 70 1.5k
Xieyao Ma China 24 1.1k 1.0× 448 0.4× 516 1.0× 159 0.4× 99 1.0× 60 1.4k
Francisco Muñoz‐Arriola United States 17 707 0.7× 519 0.5× 365 0.7× 279 0.7× 127 1.3× 51 1.2k
Bibi S. Naz United States 21 715 0.7× 761 0.7× 409 0.8× 282 0.8× 91 0.9× 37 1.2k
Shaochun Huang Germany 28 1.5k 1.4× 1.5k 1.4× 422 0.8× 253 0.7× 152 1.5× 54 2.0k
Nadeem Nawaz Pakistan 20 1.5k 1.4× 464 0.4× 666 1.3× 411 1.1× 79 0.8× 32 1.9k

Countries citing papers authored by Jürgen Komma

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Komma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Komma

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Komma. A scholar is included among the top collaborators of Jürgen Komma 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 Jürgen Komma. Jürgen Komma 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.
Blaschke, Alfred Paul, et al.. (2024). Transformer Versus LSTM: A Comparison of Deep Learning Models for Karst Spring Discharge Forecasting. Water Resources Research. 60(4). 24 indexed citations
2.
Blöschl, Günter, Daniel Cornel, Markus Hollaus, et al.. (2024). Hyper-resolution flood hazard mapping at the national scale. Natural hazards and earth system sciences. 24(6). 2071–2091. 3 indexed citations
3.
Széles, Borbála, Ladislav Holko, Juraj Párajka, et al.. (2024). Comparison of two isotopic hydrograph separation methods in the Hydrological Open Air Laboratory, Austria. Hydrological Processes. 38(7). 2 indexed citations
4.
Derx, Julia, Hannes Müller‐Thomy, Sílvia Cervero-Aragó, et al.. (2023). A probabilistic-deterministic approach for assessing climate change effects on infection risks downstream of sewage emissions from CSOs. Water Research. 247. 120746–120746. 11 indexed citations
5.
Párajka, Juraj, et al.. (2022). Fluctuations of Winter Floods in Small Austrian and Ukrainian Catchments. Hydrology. 9(2). 38–38. 6 indexed citations
6.
Párajka, Juraj, Borbála Széles, Isabella Pfeil, et al.. (2022). The value of satellite soil moisture and snow cover data for the transfer of hydrological model parameters to ungauged sites. Hydrology and earth system sciences. 26(7). 1779–1799. 8 indexed citations
7.
Waser, Jürgen, Daniel Cornel, Zsolt Horváth, et al.. (2022). Locally Relevant High‐Resolution Hydrodynamic Modeling of River Floods at the Regional Scale. Water Resources Research. 58(7). e2021WR030820–e2021WR030820. 7 indexed citations
8.
Párajka, Juraj, Isabella Pfeil, Jürgen Komma, et al.. (2021). The value of ASCAT soil moisture and MODIS snow cover data for calibrating a conceptual hydrologic model. Hydrology and earth system sciences. 25(3). 1389–1410. 32 indexed citations
9.
Lun, David, Alberto Viglione, Miriam Bertola, et al.. (2021). Characteristics and process controls of statistical flood moments in Europe – a data-based analysis. Hydrology and earth system sciences. 25(10). 5535–5560. 19 indexed citations
10.
Párajka, Juraj, Borbála Széles, Isabella Pfeil, et al.. (2021). The value of satellite soil moisture and snow cover data for the transfer of hydrological model parameters to ungauged sites. 1 indexed citations
11.
Vierheilig, Julia, Rita Linke, Georg H. Reischer, et al.. (2020). Elucidating fecal pollution patterns in alluvial water resources by linking standard fecal indicator bacteria to river connectivity and genetic microbial source tracking. Water Research. 184. 116132–116132. 24 indexed citations
12.
Horváth, Zsolt, Artem Konev, Daniel Cornel, et al.. (2019). Comparison of Fast Shallow-Water Schemes on Real-World Floods. Journal of Hydraulic Engineering. 146(1). 11 indexed citations
13.
Komma, Jürgen, Thomas Nester, & José Luis Salinas. (2018). Potential of alpine retention measures to reduce floods at the Inn river in Tyrol. EGU General Assembly Conference Abstracts. 13864. 1 indexed citations
14.
Reszler, Christian, et al.. (2018). A propensity index for surface runoff on a karst plateau. Hydrology and earth system sciences. 22(12). 6147–6161. 4 indexed citations
15.
Komma, Jürgen, et al.. (2017). Calibration of HEC-Ras hydrodynamic model using gauged discharge data and flood inundation maps. EGU General Assembly Conference Abstracts. 15805. 2 indexed citations
16.
Blöschl, Günter, Thomas Nester, Jürgen Komma, Juraj Párajka, & Rui A. P. Perdigão. (2013). The June 2013 flood in the Upper Danube Basin, and comparisons with the 2002, 1954 and 1899 floods. Hydrology and earth system sciences. 17(12). 5197–5212. 197 indexed citations
17.
Párajka, Juraj, Vahid Naeimi, Günter Blöschl, & Jürgen Komma. (2009). Matching ERS scatterometer based soil moisture patterns with simulations of a conceptual dual layer hydrologic model over Austria. Hydrology and earth system sciences. 13(2). 259–271. 69 indexed citations
18.
Viglione, Alberto, Günter Blöschl, Marco Borga, et al.. (2009). Metrics for quantifying space-time dynamics of flood event types. EGU General Assembly Conference Abstracts. 4335. 1 indexed citations
19.
Komma, Jürgen, Günter Blöschl, & Christian Reszler. (2008). Soil moisture updating by Ensemble Kalman Filtering in real-time flood forecasting. Journal of Hydrology. 357(3-4). 228–242. 154 indexed citations
20.
Komma, Jürgen, Christian Reszler, Günter Blöschl, & Thomas Haiden. (2007). Ensemble prediction of floods – catchment non-linearity and forecast probabilities. Natural hazards and earth system sciences. 7(4). 431–444. 79 indexed citations

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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