Dag Lohmann

13.8k total citations · 4 hit papers
30 papers, 8.8k citations indexed

About

Dag Lohmann is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Dag Lohmann has authored 30 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 17 papers in Atmospheric Science and 14 papers in Water Science and Technology. Recurrent topics in Dag Lohmann's work include Hydrology and Watershed Management Studies (14 papers), Climate variability and models (13 papers) and Soil Moisture and Remote Sensing (10 papers). Dag Lohmann is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Climate variability and models (13 papers) and Soil Moisture and Remote Sensing (10 papers). Dag Lohmann collaborates with scholars based in United States, Germany and United Kingdom. Dag Lohmann's co-authors include B. Cosgrove, Paul R. Houser, E. Raschke, Kristi R. Arsenault, Jon Gottschalck, Matthew Rodell, Kenneth Mitchell, U. Jambor, J. Radakovich and Jared Entin and has published in prestigious journals such as Nature, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

Dag Lohmann

28 papers receiving 8.5k citations

Hit Papers

The Global Land Data Assimilation System 2003 2026 2010 2018 2004 2011 2003 2011 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dag Lohmann United States 21 5.3k 3.8k 3.5k 2.1k 1.6k 30 8.8k
B. Cosgrove United States 21 4.5k 0.9× 3.5k 0.9× 2.7k 0.8× 2.2k 1.1× 1.6k 1.0× 48 8.0k
Kristi R. Arsenault United States 27 3.7k 0.7× 3.1k 0.8× 1.9k 0.5× 1.7k 0.8× 1.8k 1.1× 56 6.9k
Pedro Viterbo United Kingdom 46 6.7k 1.2× 5.7k 1.5× 2.2k 0.6× 2.1k 1.0× 1.2k 0.8× 85 9.4k
Jared Entin United States 15 3.0k 0.6× 2.9k 0.8× 1.4k 0.4× 2.4k 1.2× 1.5k 0.9× 31 6.2k
D. L. Toll United States 20 2.8k 0.5× 2.2k 0.6× 1.3k 0.4× 1.4k 0.7× 1.5k 0.9× 49 5.5k
Jon Gottschalck United States 20 3.6k 0.7× 2.9k 0.8× 1.1k 0.3× 1.2k 0.6× 1.9k 1.2× 36 6.2k
Guo‐Yue Niu United States 41 6.8k 1.3× 5.6k 1.5× 4.0k 1.1× 2.6k 1.2× 1.1k 0.7× 110 10.6k
Frédéric Frappart France 48 3.7k 0.7× 1.9k 0.5× 2.3k 0.7× 2.3k 1.1× 2.6k 1.6× 242 7.4k
P. C. D. Milly United States 47 10.9k 2.0× 4.3k 1.1× 7.3k 2.1× 2.7k 1.3× 1.9k 1.1× 101 16.4k
M. G. Bosilovich United States 7 2.5k 0.5× 2.0k 0.5× 1.0k 0.3× 1.2k 0.6× 1.5k 0.9× 10 4.7k

Countries citing papers authored by Dag Lohmann

Since Specialization
Citations

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

Fields of papers citing papers by Dag Lohmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dag Lohmann

This figure shows the co-authorship network connecting the top 25 collaborators of Dag Lohmann. A scholar is included among the top collaborators of Dag Lohmann 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 Dag Lohmann. Dag Lohmann 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.
Lohmann, Dag & Feng Yue. (2011). Correlation, simulation and uncertainty in catastrophe modeling. Winter Simulation Conference. 133–145. 3 indexed citations
3.
Pall, Pardeep, T. Aina, Dáithí A. Stone, et al.. (2011). Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000. Nature. 470(7334). 382–385. 662 indexed citations breakdown →
4.
Lohmann, Dag & Feng Yue. (2011). Correlation, simulation and uncertainty in catastrophe modeling. 133–145. 5 indexed citations
5.
Xia, Youlong, Kenneth E. Mitchell, Michael Ek, et al.. (2011). Continental‐scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS‐2): 2. Validation of model‐simulated streamflow. Journal of Geophysical Research Atmospheres. 117(D3). 374 indexed citations breakdown →
6.
Lu, Cheng‐Hsuan, Masao Kanamitsu, John O. Roads, et al.. (2005). Evaluation of Soil Moisture in the NCEP–NCAR and NCEP–DOE Global Reanalyses. Journal of Hydrometeorology. 6(4). 391–408. 31 indexed citations
7.
Lohmann, Dag, Kenneth E. Mitchell, Paul R. Houser, et al.. (2004). Streamflow and water balance intercomparisons of four land surface models in the North American Land Data Assimilation System project. Journal of Geophysical Research Atmospheres. 109(D7). 147 indexed citations
8.
Syed, T. H., V. Lakshmi, Evan K. Paleologos, et al.. (2004). Analysis of process controls in land surface hydrological cycle over the continental United States. Journal of Geophysical Research Atmospheres. 109(D22). 75 indexed citations
9.
Rodell, Matthew, Paul R. Houser, U. Jambor, et al.. (2004). The Global Land Data Assimilation System. Bulletin of the American Meteorological Society. 85(3). 381–394. 4227 indexed citations breakdown →
10.
Bowling, L. C., Dennis P. Lettenmaier, Bart Nijssen, et al.. (2003). Simulation of high-latitude hydrological processes in the Torne–Kalix basin: PILPS Phase 2(e). Global and Planetary Change. 38(1-2). 55–71. 18 indexed citations
11.
Pan, Ming, Justin Sheffield, Eric F. Wood, et al.. (2003). Snow process modeling in the North American Land Data Assimilation System (NLDAS): 2. Evaluation of model simulated snow water equivalent. Journal of Geophysical Research Atmospheres. 108(D22). 153 indexed citations
12.
Cosgrove, B., Dag Lohmann, Kenneth E. Mitchell, et al.. (2003). Land surface model spin‐up behavior in the North American Land Data Assimilation System (NLDAS). Journal of Geophysical Research Atmospheres. 108(D22). 148 indexed citations
14.
Nijssen, Bart, Greg O’Donnell, Dennis P. Lettenmaier, Dag Lohmann, & Eric F. Wood. (2001). Predicting the Discharge of Global Rivers. Journal of Climate. 14(15). 3307–3323. 421 indexed citations
15.
Lohmann, Dag. (2001). Comment on “Modeling ground heat flux in land surface parameterization schemes” by Xu Liang, Eric F. Wood, and Dennis P. Lettenmaier. Journal of Geophysical Research Atmospheres. 106(D16). 17889–17892. 1 indexed citations
16.
Lohmann, Dag, et al.. (1999). An application of a large scale conceptual hydrological model over the Elbe region. Hydrology and earth system sciences. 3(3). 363–374. 9 indexed citations
17.
Lohmann, Dag, E. Raschke, Bart Nijssen, & Dennis P. Lettenmaier. (1998). Regional scale hydrology: II. Application of the VIC-2L model to the Weser River, Germany. Hydrological Sciences Journal. 43(1). 143–158. 163 indexed citations
18.
Lohmann, Dag, E. Raschke, Bart Nijssen, & Dennis P. Lettenmaier. (1998). Regional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model. Hydrological Sciences Journal. 43(1). 131–141. 445 indexed citations
19.
Raschke, E., et al.. (1998). The Baltic Sea Experiment BALTEX: A brief overview and some selected results of the authors. Surveys in Geophysics. 19(1). 1–22. 29 indexed citations
20.
Lohmann, Dag, et al.. (1996). A large-scale horizontal routing model to be coupled to land surf ace parametrization schemes. Tellus A Dynamic Meteorology and Oceanography. 48(5). 708–708. 354 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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