Michael Riffler

533 total citations
19 papers, 340 citations indexed

About

Michael Riffler is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Michael Riffler has authored 19 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 12 papers in Atmospheric Science and 3 papers in Environmental Engineering. Recurrent topics in Michael Riffler's work include Atmospheric aerosols and clouds (6 papers), Climate variability and models (6 papers) and Meteorological Phenomena and Simulations (5 papers). Michael Riffler is often cited by papers focused on Atmospheric aerosols and clouds (6 papers), Climate variability and models (6 papers) and Meteorological Phenomena and Simulations (5 papers). Michael Riffler collaborates with scholars based in Switzerland, Portugal and Austria. Michael Riffler's co-authors include Fabia Hüsler, Jan Musiał, Tobias Jonas, Fabio Fontana, Andreas Walli, Stefan Wunderle, C. Popp, Tiina Nõges, Adrian Hauser and Alexander P. Trishchenko and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Remote Sensing.

In The Last Decade

Michael Riffler

18 papers receiving 334 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 Riffler Switzerland 8 196 184 91 73 31 19 340
A. Deschamps Canada 7 164 0.8× 154 0.8× 142 1.6× 175 2.4× 24 0.8× 18 444
K. S. Aung Nepal 6 155 0.8× 183 1.0× 161 1.8× 114 1.6× 42 1.4× 7 373
S. Tanaka Japan 8 85 0.4× 140 0.8× 113 1.2× 86 1.2× 34 1.1× 56 285
Robb D. Macleod United States 4 84 0.4× 161 0.9× 207 2.3× 47 0.6× 22 0.7× 7 320
Sybrand van Beijma United Kingdom 3 63 0.3× 131 0.7× 177 1.9× 101 1.4× 13 0.4× 4 310
Teresa Evans Canada 4 43 0.2× 144 0.8× 115 1.3× 92 1.3× 30 1.0× 5 274
Mark Tschudi United States 10 487 2.5× 163 0.9× 103 1.1× 79 1.1× 10 0.3× 13 599
Y. V. N. Krishnamurthy India 8 59 0.3× 184 1.0× 84 0.9× 100 1.4× 114 3.7× 15 297
Linan Guo China 10 154 0.8× 150 0.8× 46 0.5× 30 0.4× 74 2.4× 16 274
Dhirendra Kumar India 13 285 1.5× 277 1.5× 29 0.3× 45 0.6× 61 2.0× 26 413

Countries citing papers authored by Michael Riffler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Riffler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Riffler

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Riffler. A scholar is included among the top collaborators of Michael Riffler 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 Riffler. Michael Riffler 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.
2.
Olteanu‐Raimond, Ana‐Maria, Linda See, Michael Schultz, et al.. (2020). Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change. Remote Sensing. 12(7). 1186–1186. 16 indexed citations
3.
Πατιάς, Πέτρος, et al.. (2020). EARTH OBSERVATIONS AS A TOOL FOR DETECTING AND MONITORING POTENTIAL ENVIRONMENTAL VIOLATIONS AND POLICY IMPLEMENTATION. SHILAP Revista de lepidopterología. XLIII-B3-2020. 1491–1496. 1 indexed citations
4.
Bruzzone, Lorenzo, Francesca Bovolo, Pierre Defourny, et al.. (2019). CCI Essential Climate Variables: High Resolution Land Cover. Institutional Research Information System (Università degli Studi di Trento). 1 indexed citations
5.
Walli, Andreas, et al.. (2019). A highly automated algorithm for wetland detection using multi-temporal optical satellite data. Remote Sensing of Environment. 224. 333–351. 75 indexed citations
6.
Vreugdenhil, Mariëtte, et al.. (2018). Monitoring vegetation dynamics using Sentinel-1 and Sentinel-2. EGUGA. 12559.
7.
Lemmin, Ulrich, Andrea Cimatoribus, Damien Bouffard, et al.. (2018). Improving surface heat flux estimation for a large lake through model optimization and two‐point calibration: The case of Lake Geneva. Limnology and Oceanography Methods. 16(9). 576–593. 16 indexed citations
8.
Fernandes, Ana Patrícia, Michael Riffler, Joana Ferreira, et al.. (2018). Spatial analysis of aerosol optical depth obtained by air quality modelling and SEVIRI satellite observations over Portugal. Atmospheric Pollution Research. 10(1). 234–243. 4 indexed citations
9.
Lieberherr, Gian-Duri, Michael Riffler, & Stefan Wunderle. (2017). Performance Assessment of Tailored Split-Window Coefficients for the Retrieval of Lake Surface Water Temperature from AVHRR Satellite Data. Remote Sensing. 9(12). 1334–1334. 5 indexed citations
10.
Riffler, Michael, et al.. (2016). Lake ice phenology from AVHRR data for European lakes: An automated two-step extraction method. Remote Sensing of Environment. 174. 329–340. 34 indexed citations
11.
Lemmin, Ulrich, et al.. (2015). Surface thermal patterns of Lake Geneva, Switzerland, from 2008 to 2012. 1 indexed citations
12.
Fernandes, Ana Patrícia, Michael Riffler, Joana Ferreira, et al.. (2015). Comparisons of aerosol optical depth provided by seviri satellite observations and CAMx air quality modelling. SHILAP Revista de lepidopterología. XL-7/W3. 187–193. 7 indexed citations
13.
Hüsler, Fabia, et al.. (2014). A satellite-based snow cover climatology (1985–2011) for the European Alps derived from AVHRR data. ˜The œcryosphere. 8(1). 73–90. 83 indexed citations
14.
Fontana, Fabio, Nicholas C. Coops, Konstantin Khlopenkov, et al.. (2012). Generation of a novel 1km NDVI data set over Canada, the northern United States, and Greenland based on historical AVHRR data. Remote Sensing of Environment. 121. 171–185. 29 indexed citations
15.
Hüsler, Fabia, Fabio Fontana, Christoph Neuhaus, et al.. (2011). AVHRR Archive and Processing Facility at the University of Bern: A comprehensive 1-km satellite data set for climate change studies. Bern Open Repository and Information System (University of Bern). 15 indexed citations
16.
Riffler, Michael, et al.. (2010). Validation of a modified AVHRR aerosol optical depth retrieval algorithm over Central Europe. Atmospheric measurement techniques. 3(5). 1255–1270. 41 indexed citations
17.
Riffler, Michael, et al.. (2009). Deriving atmospheric visibility from satellite retrieved aerosol optical depth. EGU General Assembly Conference Abstracts. 10928. 1 indexed citations
18.
Popp, C., Michael Riffler, Emanuele Emili, Marcello Petitta, & Stefan Wunderle. (2009). Evaluation of Operationally Derived Aerosol Optical Depth from MSG-SEVIRI over Central Europe. EGUGA. 9362. 4 indexed citations
19.
Popp, C., Michael Riffler, Adrian Hauser, & Stefan Wunderle. (2007). Approximation of aerosol type over land surfaces from MSG-SEVIRI data. Bern Open Repository and Information System (University of Bern). 1 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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