Tim Appelhans
- Global and Planetary Change top 5%
- Atmospheric Science top 5%
- Environmental Engineering top 5%
- Ecology top 5%
- Ecological Modeling top 5%
- Co-authors
- Thomas NaußMeike KühnleinAndreas HempBoris ThiesFlorian DetschInsa OtteEphraim MwangomoHanna Meyer
- Topics
- Climate variability and models (8 papers)Precipitation Measurement and Analysis (7 papers)Meteorological Phenomena and Simulations (6 papers)
- Partner nations
- GermanyNew ZealandTanzania
In The Last Decade
Tim Appelhans
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Global and Planetary Change 496
- Atmospheric Science 445
- Environmental Engineering 298
- Ecology 279
- Ecological Modeling 144
Countries citing papers authored by Tim Appelhans
This map shows the geographic impact of Tim Appelhans'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 Tim Appelhans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Appelhans more than expected).
Fields of papers citing papers by Tim Appelhans
This network shows the impact of papers produced by Tim Appelhans. 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 Tim Appelhans. The network helps show where Tim Appelhans may publish in the future.
Co-authorship network of co-authors of Tim Appelhans
This figure shows the co-authorship network connecting the top 25 collaborators of Tim Appelhans. A scholar is included among the top collaborators of Tim Appelhans 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 Tim Appelhans. Tim Appelhans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Interactive Editing of Spatial Data in R [R package mapedit version 0.6.0] | 1 |
| 3 | 30 | |
| 4 | 3 | |
| 5 | 35 | |
| 6 | 87 | |
| 7 | 30 | |
| 8 | 19 | |
| 9 | 83 | |
| 10 | 59 | |
| 11 | 21 | |
| 12 | Precipitation estimates from MSG SEVIRI daytime, night-time and twilight data with random forests | 1 |
| 13 | 73 | |
| 14 | East African rainfall and vegetation dynamics in response to a changing El Nino | 0 |
| 15 | 163 | |
| 16 | 13 | |
| 17 | A Modelling Study of Particulate Matter Dispersion under Dominant Surface Wind Regime Modes in Christchurch, New Zealand | 1 |
| 18 | 2 | |
| 19 | 3 | |
| 20 | Mesoscale controls on particulate matter pollution for a mega-city in a semi-arid mountainous environment: Tehran, Iran | 1 |
About Tim Appelhans
Tim Appelhans is a scholar working on Ecological Modeling, Atmospheric Science and Global and Planetary Change, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Climate variability and models (8 papers), Precipitation Measurement and Analysis (7 papers) and Meteorological Phenomena and Simulations (6 papers). The work is most often cited by research in Ecological Modeling (144 citations), Atmospheric Science (445 citations) and Global and Planetary Change (496 citations). Tim Appelhans has collaborated with scholars based in Germany, New Zealand and Tanzania. Frequent co-authors include Thomas Nauß, Meike Kühnlein, Andreas Hemp, Boris Thies, Florian Detsch, Insa Otte, Ephraim Mwangomo, Hanna Meyer, Douglas R. Hardy and Peyman Zawar‐Reza. Their work appears in journals such as Remote Sensing of Environment, Plant and Soil and Remote Sensing.
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.