Jörg Bendix

9.7k total citations · 1 hit paper
256 papers, 6.4k citations indexed

About

Jörg Bendix is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Jörg Bendix has authored 256 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 154 papers in Global and Planetary Change, 131 papers in Atmospheric Science and 48 papers in Ecology. Recurrent topics in Jörg Bendix's work include Meteorological Phenomena and Simulations (91 papers), Atmospheric aerosols and clouds (56 papers) and Climate variability and models (43 papers). Jörg Bendix is often cited by papers focused on Meteorological Phenomena and Simulations (91 papers), Atmospheric aerosols and clouds (56 papers) and Climate variability and models (43 papers). Jörg Bendix collaborates with scholars based in Germany, Ecuador and Switzerland. Jörg Bendix's co-authors include Boris Thies, Jan Čermák, Rütger Rollenbeck, Lukas Lehnert, Thomas Nauß, Katja Trachte, Christoph Reudenbach, Erwin Beck, Rolando Célleri and Reinhard Mosandl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Jörg Bendix

243 papers receiving 6.3k citations

Hit Papers

Fog Research: A Review of Past Achievements and Future Pe... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg Bendix Germany 45 3.6k 2.9k 1.2k 1.2k 781 256 6.4k
Miguel D. Mahecha Germany 42 5.6k 1.6× 2.2k 0.8× 2.2k 1.8× 792 0.7× 532 0.7× 131 7.7k
Forrest M. Hoffman United States 47 5.1k 1.4× 2.6k 0.9× 2.1k 1.7× 980 0.8× 314 0.4× 165 8.1k
V. K. Dadhwal India 43 4.0k 1.1× 1.7k 0.6× 2.7k 2.2× 1.9k 1.5× 412 0.5× 341 7.5k
Wei Shangguan China 25 2.5k 0.7× 1.5k 0.5× 1.2k 1.0× 2.3k 1.9× 490 0.6× 69 6.3k
Xavier Pons Spain 38 3.9k 1.1× 1.5k 0.5× 2.2k 1.8× 1.7k 1.4× 310 0.4× 198 6.7k
Johannes J. Feddema United States 34 3.8k 1.1× 2.1k 0.7× 1.1k 0.9× 1.8k 1.5× 374 0.5× 48 6.4k
Nuno Carvalhais Germany 38 5.3k 1.5× 2.4k 0.8× 2.5k 2.0× 2.1k 1.7× 246 0.3× 103 9.1k
Christopher R. Schwalm United States 34 5.1k 1.4× 2.3k 0.8× 1.3k 1.1× 579 0.5× 263 0.3× 78 6.3k
Miquel Ninyerola Spain 24 2.2k 0.6× 1.5k 0.5× 795 0.7× 886 0.7× 316 0.4× 53 3.8k
Tao Wang China 48 5.0k 1.4× 2.9k 1.0× 2.1k 1.7× 788 0.7× 508 0.7× 171 8.3k

Countries citing papers authored by Jörg Bendix

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Bendix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Bendix

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Bendix. A scholar is included among the top collaborators of Jörg Bendix 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 Jörg Bendix. Jörg Bendix 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.
Schmidt, Benjamin, et al.. (2025). Analysis of the Meso‐Scale Climate of the Galápagos Archipelago by Dynamical Downscaling of Reanalysis Data. International Journal of Climatology. 45(13). 1 indexed citations
2.
Ballari, Daniela, et al.. (2025). Local Sea Surface Temperatures Modulate the Occurrence of Heavy Rainfall Events in the Galápagos Archipelago. Geophysical Research Letters. 52(23).
3.
Farmonov, Nizom, Christian Lampei, Mona Schreiber, et al.. (2025). Optimizing hybrid models for forest leaf and canopy trait mapping from EnMAP hyperspectral data with limited field samples. Science of Remote Sensing. 12. 100253–100253.
4.
Brenner, Thomas, Saeed Ahmad Khan, Christoph Reudenbach, et al.. (2024). Impact of comorbidities and personal characteristics on weather-related risk for community-acquired pneumonia. Frontiers in Climate. 6.
6.
Čermák, Jan, et al.. (2024). Synoptic Scale Controls and Aerosol Effects on Fog and Low Stratus Life Cycle Processes in the Po Valley, Italy. Geophysical Research Letters. 51(20). 1 indexed citations
7.
Li, Yi, et al.. (2023). Detection of dawn sea fog/low stratus using geostationary satellite imagery. Remote Sensing of Environment. 294. 113622–113622. 9 indexed citations
8.
Bendix, Jörg, et al.. (2023). Improving classification‐based nowcasting of radiation fog with machine learning based on filtered and preprocessed temporal data. Quarterly Journal of the Royal Meteorological Society. 150(759). 577–596. 5 indexed citations
9.
Ballari, Daniela, et al.. (2023). Satellite Earth Observation for Essential Climate Variables Supporting Sustainable Development Goals: A Review on Applications. Remote Sensing. 15(11). 2716–2716. 8 indexed citations
10.
Ballari, Daniela, Rolando Célleri, Johanna Orellana‐Alvear, et al.. (2023). The Spatio-Temporal Cloud Frequency Distribution in the Galapagos Archipelago as Seen from MODIS Cloud Mask Data. Atmosphere. 14(8). 1225–1225. 3 indexed citations
11.
Larsen, Annegret, Sebastian Achilles, Roland Brandl, et al.. (2022). Higher sediment redistribution rates related to burrowing animals than previously assumed as revealed by time-of-flight-based monitoring. Earth Surface Dynamics. 10(6). 1273–1301. 3 indexed citations
12.
Bendix, Jörg, et al.. (2021). A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques. Sensors. 21(4). 1474–1474. 34 indexed citations
13.
Muñoz, Paúl, Johanna Orellana‐Alvear, Jörg Bendix, Jan Feyen, & Rolando Célleri. (2021). Flood Early Warning Systems Using Machine Learning Techniques: The Case of the Tomebamba Catchment at the Southern Andes of Ecuador. Hydrology. 8(4). 183–183. 16 indexed citations
14.
Seeger, Bernhard, et al.. (2021). A user perspective on future cloud-based services for Big Earth data. International Journal of Digital Earth. 14(12). 1758–1774. 13 indexed citations
15.
Andersen, Hendrik, et al.. (2020). Determinants of fog and low stratus occurrence in continental central Europe – a quantitative satellite-based evaluation. Journal of Hydrology. 591. 125451–125451. 14 indexed citations
17.
Egli, Sebastian, et al.. (2019). FFLSD - Fast Fog and Low Stratus Detection tool for large satellite time-series. Computers & Geosciences. 128. 51–59. 7 indexed citations
18.
Egli, Sebastian, Boris Thies, & Jörg Bendix. (2018). A Hybrid Approach for Fog Retrieval Based on a Combination of Satellite and Ground Truth Data. Remote Sensing. 10(4). 628–628. 29 indexed citations
19.
Campozano, Lenin, Katja Trachte, Rolando Célleri, et al.. (2018). Climatology and Teleconnections of Mesoscale Convective Systems in an Andean Basin in Southern Ecuador: The Case of the Paute Basin. Advances in Meteorology. 2018. 1–13. 32 indexed citations
20.
Carrillo‐Rojas, Galo, et al.. (2016). Dynamic Mapping of Evapotranspiration Using an Energy Balance-Based Model over an Andean Páramo Catchment of Southern Ecuador. Remote Sensing. 8(2). 160–160. 46 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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