Tracy Scanlon

1.8k total citations · 1 hit paper
26 papers, 798 citations indexed

About

Tracy Scanlon is a scholar working on Atmospheric Science, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Tracy Scanlon has authored 26 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atmospheric Science, 15 papers in Environmental Engineering and 7 papers in Aerospace Engineering. Recurrent topics in Tracy Scanlon's work include Soil Moisture and Remote Sensing (15 papers), Precipitation Measurement and Analysis (8 papers) and Cryospheric studies and observations (7 papers). Tracy Scanlon is often cited by papers focused on Soil Moisture and Remote Sensing (15 papers), Precipitation Measurement and Analysis (8 papers) and Cryospheric studies and observations (7 papers). Tracy Scanlon collaborates with scholars based in Austria, United Kingdom and France. Tracy Scanlon's co-authors include Wouter Dorigo, Robin van der Schalie, Alexander Gruber, Wolfgang Wagner, Richard de Jeu, Leander Moesinger, Matthias Forkel, Irene Teubner, Wolfgang Preimesberger and Chun‐Hsu Su and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Tracy Scanlon

21 papers receiving 785 citations

Hit Papers

Evolution of the ESA CCI Soil Moisture climate data recor... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracy Scanlon Austria 10 426 424 387 121 101 26 798
Andrew F. Feldman United States 18 490 1.2× 430 1.0× 561 1.4× 145 1.2× 118 1.2× 51 940
Dabin Ji China 19 452 1.1× 718 1.7× 478 1.2× 116 1.0× 62 0.6× 58 1.1k
Vincent Rivalland France 15 349 0.8× 213 0.5× 496 1.3× 139 1.1× 178 1.8× 36 767
Liangliang Bai China 9 493 1.2× 405 1.0× 213 0.6× 77 0.6× 113 1.1× 11 709
Caijin Zhang China 8 471 1.1× 382 0.9× 219 0.6× 64 0.5× 139 1.4× 8 718
Jana Kolassa United States 16 735 1.7× 692 1.6× 530 1.4× 159 1.3× 169 1.7× 25 1.2k
Catherine Meurey France 10 240 0.6× 271 0.6× 394 1.0× 133 1.1× 75 0.7× 16 570
Fangni Lei United States 17 591 1.4× 477 1.1× 265 0.7× 40 0.3× 159 1.6× 32 827
Susan Moran United States 6 372 0.9× 237 0.6× 277 0.7× 259 2.1× 99 1.0× 9 666
I. E. Mladenova United States 17 572 1.3× 467 1.1× 541 1.4× 197 1.6× 154 1.5× 30 1.1k

Countries citing papers authored by Tracy Scanlon

Since Specialization
Citations

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

Fields of papers citing papers by Tracy Scanlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tracy Scanlon

This figure shows the co-authorship network connecting the top 25 collaborators of Tracy Scanlon. A scholar is included among the top collaborators of Tracy Scanlon 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 Tracy Scanlon. Tracy Scanlon 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.
Scanlon, Tracy, Alan Geer, Niels Bormann, & David Duncan. (2025). Using 6.9 and 10.65 GHz From the AMSR2 and GMI Microwave Imagers in the ECMWF NWP System (IFS). IEEE Transactions on Geoscience and Remote Sensing. 63. 1–19.
2.
English, Stephen, Tracy Scanlon, E. C. Turner, et al.. (2025). Impact of RFI on Numerical Weather Prediction and Climate Reanalysis. 17–17.
3.
Scanlon, Tracy, David Duncan, Alan Geer, & Niels Bormann. (2025). Identification and attribution of RFI Sources using NWP departure statistics. 26–26.
4.
Moesinger, Leander, Ruxandra-Maria Zotta, Robin van der Schalie, et al.. (2022). Monitoring vegetation condition using microwave remote sensing: the standardized vegetation optical depth index (SVODI). Biogeosciences. 19(21). 5107–5123. 13 indexed citations
5.
Jeu, Richard de, Nemesio Rodríguez-Fernández, Tracy Scanlon, et al.. (2021). The development and relevance of a consistent flagging strategy for multi-sensor satellite soil moisture climate records. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
6.
Rodríguez-Fernández, Nemesio, Robin van der Schalie, Tracy Scanlon, et al.. (2021). Toward the Removal of Model Dependency in Soil Moisture Climate Data Records by Using an $L$-Band Scaling Reference. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 831–848. 8 indexed citations
7.
Scanlon, Tracy, Wouter Dorigo, Wolfgang Preimesberger, et al.. (2021). ESA CCI and C3S Soil Moisture Products: Generation and Quality Assurance. SPIRE - Sciences Po Institutional REpository.
8.
Schalie, Robin van der, Nemesio Rodríguez-Fernández, Wouter Dorigo, et al.. (2021). L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records. Remote Sensing. 13(13). 2480–2480. 9 indexed citations
9.
Schalie, Robin van der, Nemesio Rodríguez-Fernández, Andreas Colliander, et al.. (2020). Reconciling Flagging Strategies for Multi-Sensor Satellite Soil Moisture Climate Data Records. Remote Sensing. 12(20). 3439–3439. 11 indexed citations
10.
Moesinger, Leander, Wouter Dorigo, Richard de Jeu, et al.. (2020). The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA). Earth system science data. 12(1). 177–196. 169 indexed citations
11.
Preimesberger, Wolfgang, Tracy Scanlon, Chun‐Hsu Su, Alexander Gruber, & Wouter Dorigo. (2020). Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record. IEEE Transactions on Geoscience and Remote Sensing. 59(4). 2845–2862. 73 indexed citations
13.
Dorigo, Wouter, et al.. (2020). ESA CCI and C3S Soil Moisture: latest product updates and climate assessments. Lirias (KU Leuven).
15.
Moesinger, Leander, Wouter Dorigo, Richard de Jeu, et al.. (2019). The Global Long-term Microwave Vegetation Optical Depth Climate Archive VODCA. 11 indexed citations
16.
Gruber, Alexander, Tracy Scanlon, Robin van der Schalie, Wolfgang Wagner, & Wouter Dorigo. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology. Earth system science data. 11(2). 717–739. 424 indexed citations breakdown →
17.
Scanlon, Tracy, Jeffrey S. Czapla-Myers, Kurtis J. Thome, et al.. (2017). Ground comparisons at RadCalNet sites to determine the equivalence of sites within the network. 4 indexed citations
18.
Gorroño, Javier, Agnieszka Białek, P M Harris, et al.. (2016). Non-normal distribution of the top-of-atmosphere satellite optical measurements over calibration sites. International Journal of Remote Sensing. 37(19). 4665–4682. 2 indexed citations
20.
Tan, Qiuyang, et al.. (2002). Performance of evaporated and plated bumps on organic substrates. 1–7. 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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