Michael Flechsig

565 total citations
19 papers, 442 citations indexed

About

Michael Flechsig is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Flechsig has authored 19 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 6 papers in Nature and Landscape Conservation and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Flechsig's work include Forest ecology and management (5 papers), Forest Management and Policy (5 papers) and Data Analysis with R (4 papers). Michael Flechsig is often cited by papers focused on Forest ecology and management (5 papers), Forest Management and Policy (5 papers) and Data Analysis with R (4 papers). Michael Flechsig collaborates with scholars based in Germany, United Kingdom and Canada. Michael Flechsig's co-authors include Petra Lasch‐Born, Thomas Nocke, Marcus Lindner, Wolfgang Crämer, Harald Bugmann, Christopher Reyer, Marcel van Oijen, Sibyll Schaphoff, Valentina Krysanova and Frank Wechsung and has published in prestigious journals such as Landscape and Urban Planning, Climatic Change and Forest Ecology and Management.

In The Last Decade

Michael Flechsig

19 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Flechsig Germany 10 249 149 89 71 69 19 442
Bonnie Ruefenacht United States 8 283 1.1× 155 1.0× 324 3.6× 61 0.9× 58 0.8× 15 563
Ramesh Sivanpillai United States 13 257 1.0× 69 0.5× 232 2.6× 29 0.4× 96 1.4× 54 560
Duole Feng China 10 298 1.2× 48 0.3× 326 3.7× 50 0.7× 127 1.8× 14 584
Guido Kraemer Germany 10 157 0.6× 62 0.4× 77 0.9× 57 0.8× 46 0.7× 22 316
Lei Fang China 11 343 1.4× 100 0.7× 192 2.2× 24 0.3× 37 0.5× 42 494
Claude Monteil France 13 152 0.6× 89 0.6× 159 1.8× 45 0.6× 30 0.4× 23 523
Paweł Netzel Poland 11 205 0.8× 67 0.4× 80 0.9× 16 0.2× 78 1.1× 34 386
Luís Eduardo Pinheiro Maurano Brazil 10 271 1.1× 50 0.3× 245 2.8× 24 0.3× 27 0.4× 18 536
Luqi Xing China 10 194 0.8× 99 0.7× 188 2.1× 37 0.5× 55 0.8× 15 393
Patrick Gray United States 11 109 0.4× 69 0.5× 267 3.0× 33 0.5× 37 0.5× 23 501

Countries citing papers authored by Michael Flechsig

Since Specialization
Citations

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

Fields of papers citing papers by Michael Flechsig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Flechsig

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

All Works

19 of 19 papers shown
1.
Елисеев, А. В., Stefan Petri, Michael Flechsig, et al.. (2018). The dynamical core of the Aeolus 1.0 statistical–dynamical atmosphere model: validation and parameter optimization. Geoscientific model development. 11(2). 665–679. 2 indexed citations
2.
Reyer, Christopher, Michael Flechsig, Petra Lasch‐Born, & Marcel van Oijen. (2016). Integrating parameter uncertainty of a process-based model in assessments of climate change effects on forest productivity. Climatic Change. 137(3-4). 395–409. 28 indexed citations
3.
Oijen, Marcel van, Christopher Reyer, Friedrich J. Bohn, et al.. (2012). Bayesian calibration, comparison and averaging of six forest models, using data from Scots pine stands across Europe. Forest Ecology and Management. 289. 255–268. 70 indexed citations
4.
Knopf, Brigitte, Kirsten Zickfeld, Michael Flechsig, & Vladimir Petoukhov. (2008). Sensitivity of the Indian monsoon to human activities. Advances in Atmospheric Sciences. 25(6). 932–945. 4 indexed citations
5.
Nocke, Thomas, et al.. (2007). Visual exploration and evaluation of climate-related simulation data. Winter Simulation Conference. 703–711. 37 indexed citations
6.
Nocke, Thomas, et al.. (2007). Visual exploration and evaluation of climate-related simulation data. 2007 Winter Simulation Conference. 703–711. 30 indexed citations
7.
Wattenbach, M., et al.. (2006). A framework for assessing uncertainty in ecosystem models. ScholarsArchive (Brigham Young University). 4 indexed citations
8.
Knopf, Brigitte, Michael Flechsig, & Kirsten Zickfeld. (2006). Multi-parameter uncertainty analysis of a bifurcation point. Nonlinear processes in geophysics. 13(5). 531–540. 5 indexed citations
9.
Nocke, Thomas, et al.. (2004). Information visualization supporting modelling and evaluation tasks for climate models. 763–771. 5 indexed citations
10.
Gerstengarbe, Friedrich‐Wilhelm, P. Werner, Michael Flechsig, et al.. (2004). Reliability of regional climate model simulations of extremes and of long-term climate. Natural hazards and earth system sciences. 4(3). 417–431. 12 indexed citations
11.
Vliet, A.J.H. van, R.S. de Groot, Peter Braun, et al.. (2003). The European Phenology Network. International Journal of Biometeorology. 47(4). 202–212. 79 indexed citations
12.
Nocke, Thomas, et al.. (2003). Next generation modeling I: information visualization supporting modelling and evaluation tasks for climate models. Winter Simulation Conference. 763–771. 2 indexed citations
13.
Vliet, A.J.H. van, Ekko Bruns, J.G.P.W. Clevers, et al.. (2003). European Phenology Network: Nature's Calendar on the move. Socio-Environmental Systems Modeling. 4 indexed citations
14.
Wechsung, Frank, Valentina Krysanova, Michael Flechsig, & Sibyll Schaphoff. (2000). May land use change reduce the water deficiency problem caused by reduced brown coal mining in the state of Brandenburg?. Landscape and Urban Planning. 51(2-4). 177–189. 28 indexed citations
15.
Bugmann, Harald, et al.. (2000). Scaling Issues in Forest Succession Modelling. Climatic Change. 44(3). 265–289. 44 indexed citations
16.
Lindner, Marcus, et al.. (1999). Regional impact analysis of climate change on natural and managed forests in the Federal State of Brandenburg, Germany. Environmental Modeling & Assessment. 4(4). 273–286. 29 indexed citations
17.
Lindner, Marcus, Harald Bugmann, Petra Lasch‐Born, Michael Flechsig, & Wolfgang Crämer. (1997). Regional impacts of climatic change on forests in the state of Brandenburg, Germany. Agricultural and Forest Meteorology. 84(1-2). 123–135. 55 indexed citations
18.
Flechsig, Michael, Markus Erhard, & Volker Wenzel. (1994). Simulation-based regional models — concept, design and application. Ecological Modelling. 75-76. 601–608. 2 indexed citations
19.
Wenzel, Volker, et al.. (1990). One decade of SONCHES. Systems Analysis Modelling Simulation. 7(6). 411–428. 2 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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