Thomas Popp

7.5k total citations · 2 hit papers
80 papers, 3.5k citations indexed

About

Thomas Popp is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Thomas Popp has authored 80 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Global and Planetary Change, 48 papers in Atmospheric Science and 17 papers in Artificial Intelligence. Recurrent topics in Thomas Popp's work include Atmospheric aerosols and clouds (42 papers), Atmospheric chemistry and aerosols (39 papers) and Atmospheric Ozone and Climate (25 papers). Thomas Popp is often cited by papers focused on Atmospheric aerosols and clouds (42 papers), Atmospheric chemistry and aerosols (39 papers) and Atmospheric Ozone and Climate (25 papers). Thomas Popp collaborates with scholars based in Germany, United Kingdom and Finland. Thomas Popp's co-authors include Stefan Mangard, Elisabeth Oswald, Stefan Kinne, Alfred Wiedensohler, Markus Fiebig, Shao‐Meng Li, Nobuo Sugimoto, Christoph Wehrli, J. A. Ogren and Paolo Laj and has published in prestigious journals such as Remote Sensing of Environment, Atmospheric Environment and Reviews of Geophysics.

In The Last Decade

Thomas Popp

74 papers receiving 3.3k citations

Hit Papers

Power Analysis Attacks: Revealing the Secrets of Smart Cards 2007 2026 2013 2019 2007 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Popp Germany 23 1.6k 1.4k 1.3k 883 605 80 3.5k
Jinhua Tao China 27 1.6k 1.0× 137 0.1× 1.3k 1.0× 82 0.1× 888 1.5× 101 2.4k
Hui Wu China 17 790 0.5× 465 0.3× 595 0.4× 39 0.0× 29 0.0× 57 2.2k
Hongbo Zhao China 22 129 0.1× 270 0.2× 373 0.3× 23 0.0× 208 0.3× 117 1.6k
Ganesh Gopalakrishnan United States 27 449 0.3× 358 0.3× 454 0.3× 1.0k 1.2× 8 0.0× 175 2.5k
Yun Shao China 24 658 0.4× 149 0.1× 303 0.2× 20 0.0× 75 0.1× 182 2.5k
Dorit Hammerling United States 16 436 0.3× 211 0.2× 617 0.5× 43 0.0× 39 0.1× 56 1.2k
Xia Zhang China 26 352 0.2× 605 0.4× 175 0.1× 8 0.0× 50 0.1× 160 2.3k
Qian Shi China 34 1.1k 0.7× 492 0.4× 612 0.5× 3 0.0× 141 0.2× 131 3.8k
Ravi S. Nanjundiah India 30 1.8k 1.1× 82 0.1× 2.1k 1.6× 12 0.0× 155 0.3× 115 2.7k
Riccardo Taormina Netherlands 19 206 0.1× 392 0.3× 670 0.5× 17 0.0× 34 0.1× 58 2.2k

Countries citing papers authored by Thomas Popp

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Popp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Popp

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Popp. A scholar is included among the top collaborators of Thomas Popp 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 Thomas Popp. Thomas Popp 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.
Pearson, K. J., Peter North, A. Heckel, et al.. (2025). Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022. Scientific Data. 12(1). 410–410.
2.
Kahn, Ralph A., Elisabeth Andrews, C. A. Brock, et al.. (2023). Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street. Reviews of Geophysics. 61(2). 23 indexed citations
3.
Sayer, A. M., Yves Govaerts, Pekka Kolmonen, et al.. (2020). A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing. Atmospheric measurement techniques. 13(2). 373–404. 71 indexed citations
4.
Hendricks, Johannes, Mattia Righi, Patrick Jöckel, et al.. (2019). Global aerosol modeling with MADE3 (v3.0) in EMAC (based on v2.53): model description and evaluation. Geoscientific model development. 12(1). 541–579. 24 indexed citations
5.
Muñoz-Sabater, Joaquı́n, Bill Bell, Iskander Benhadj, et al.. (2019). The Copernicus Climate Change Service (C3S) contribution to Earth Observation Activities. EGU General Assembly Conference Abstracts. 11631. 1 indexed citations
6.
Sayer, A. M., Yves Govaerts, Pekka Kolmonen, et al.. (2019). A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing. 4 indexed citations
7.
Merchant, Christopher J., Frank Paul, Thomas Popp, et al.. (2017). Uncertainty information in climate data records from Earth observation. Earth system science data. 9(2). 511–527. 105 indexed citations
8.
Kosmale, Miriam & Thomas Popp. (2016). Ensembles of satellite aerosol retrievals based on three AATSR algorithms within aerosol_cci. elib (German Aerospace Center). 1 indexed citations
9.
Popp, Thomas, Gerrit de Leeuw, & Simon Pinnock. (2016). Aerosol Climate Time Series in ESA Aerosol_cci. elib (German Aerospace Center). 1 indexed citations
10.
Petzold, Andreas, J. A. Ogren, Markus Fiebig, et al.. (2013). Recommendations for the interpretation of "black carbon" measurements. 27 indexed citations
11.
Petzold, Andreas, J. A. Ogren, Markus Fiebig, et al.. (2013). Recommendations for reporting "black carbon" measurements. Atmospheric chemistry and physics. 13(16). 8365–8379. 787 indexed citations breakdown →
12.
Klüser, Lars, D. Martynenko, & Thomas Popp. (2011). Thermal infrared remote sensing of mineral dust over land and ocean: a spectral SVD based retrieval approach for IASI. Atmospheric measurement techniques. 4(5). 757–773. 50 indexed citations
13.
Schroedter‐Homscheidt, Marion, Hendrik Elbern, & Thomas Popp. (2010). Observation operator for the assimilation of aerosol type resolving satellite measurements into a chemical transport model. Atmospheric chemistry and physics. 10(21). 10435–10452. 12 indexed citations
14.
Popp, Thomas. (2009). An introduction to implementation attacks and countermeasures. Formal Methods. 108–115. 3 indexed citations
15.
Mangard, Stefan, Elisabeth Oswald, & Thomas Popp. (2007). Power Analysis Attacks: Revealing the Secrets of Smart Cards (Advances in Information Security). Springer eBooks. 282 indexed citations
16.
Popp, Thomas, et al.. (2005). Configurable logic style translation based on an openaccess engine. 1–4. 1 indexed citations
17.
Popp, Thomas & Marion Schroedter‐Homscheidt. (2005). Synergetic Aerosol Retrieval from Envisat. 572. 2 indexed citations
18.
Popp, Thomas, et al.. (2004). Satellite-based background concentration maps of different particle classes in the atmosphere. WIT Transactions on Ecology and the Environment. 74.
19.
Popp, Thomas, et al.. (2000). Possible contribution of satellite measurements to monitoring of air pollution in European cities and their surrounding areas for health services. WIT Transactions on Ecology and the Environment. 42. 3 indexed citations
20.
Popp, Thomas, Gerhard Gesell, Thomas König, et al.. (1997). Exploiting GOME and ATSR-2 data : First results of the PAGODA project. elib (German Aerospace Center). 414. 761–766. 3 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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