Todd Berendes

523 total citations
25 papers, 404 citations indexed

About

Todd Berendes is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Todd Berendes has authored 25 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 12 papers in Global and Planetary Change and 9 papers in Artificial Intelligence. Recurrent topics in Todd Berendes's work include Atmospheric aerosols and clouds (11 papers), Meteorological Phenomena and Simulations (5 papers) and Atmospheric chemistry and aerosols (4 papers). Todd Berendes is often cited by papers focused on Atmospheric aerosols and clouds (11 papers), Meteorological Phenomena and Simulations (5 papers) and Atmospheric chemistry and aerosols (4 papers). Todd Berendes collaborates with scholars based in United States, Mexico and Germany. Todd Berendes's co-authors include Ronald M. Welch, Kristopher M. Bedka, Samarjit Sengupta, John R. Mecikalski, Sundar A. Christopher, U. S. Nair, Wayne M. MacKenzie, Xiang Li, Joyce Chou and Jianglong Zhang and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Todd Berendes

24 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Todd Berendes United States 10 292 287 54 51 39 25 404
B. Guillemet France 12 200 0.7× 255 0.9× 63 1.2× 68 1.3× 58 1.5× 20 328
Catherine Moroney United States 14 689 2.4× 745 2.6× 51 0.9× 37 0.7× 25 0.6× 28 819
Xiaoyong Zhuge China 14 376 1.3× 367 1.3× 50 0.9× 47 0.9× 47 1.2× 40 464
Paul M. Tag United States 12 225 0.8× 234 0.8× 95 1.8× 40 0.8× 59 1.5× 27 392
Run Ma China 9 366 1.3× 434 1.5× 46 0.9× 160 3.1× 52 1.3× 21 551
Danyu Qin China 10 223 0.8× 194 0.7× 37 0.7× 22 0.4× 19 0.5× 28 338
Nandana Amarasinghe United States 5 616 2.1× 675 2.4× 35 0.6× 61 1.2× 32 0.8× 9 729
Yanli Qiao China 8 206 0.7× 233 0.8× 34 0.6× 19 0.4× 47 1.2× 27 339
H. Le Gléau France 6 248 0.8× 296 1.0× 43 0.8× 70 1.4× 56 1.4× 7 382
S. Dutcher United States 6 417 1.4× 419 1.5× 21 0.4× 33 0.6× 20 0.5× 16 484

Countries citing papers authored by Todd Berendes

Since Specialization
Citations

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

Fields of papers citing papers by Todd Berendes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Berendes

This figure shows the co-authorship network connecting the top 25 collaborators of Todd Berendes. A scholar is included among the top collaborators of Todd Berendes 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 Todd Berendes. Todd Berendes 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.
Gatlin, Patrick, et al.. (2020). The GPM Validation Network and Evaluation of Satellite-Based Retrievals of the Rain Drop Size Distribution. Atmosphere. 11(9). 1010–1010. 30 indexed citations
2.
Gatlin, Patrick, et al.. (2017). Introducing the VISAGE project - Visualization for Integrated Satellite, Airborne, and Ground-based data Exploration. AGUFM. 2017. 1 indexed citations
3.
Miller, Jeffrey J., Manil Maskey, & Todd Berendes. (2017). Using Deep Learning for Tropical Cyclone Intensity Estimation. NASA STI Repository (National Aeronautics and Space Administration). 2017. 7 indexed citations
4.
Petersen, Walt, Merhala Thurai, Patrick Gatlin, et al.. (2017). Consistent Measurement and Physical Character of the DSD: Disdrometer to Satellite. NASA Technical Reports Server (NASA). 1 indexed citations
5.
6.
Berendes, Todd, et al.. (2009). Spyglass: A System for Ontology Based Document Retrieval and Visualization.. The Florida AI Research Society. 1 indexed citations
7.
Ramachandran, Rahul, Sara Graves, Todd Berendes, et al.. (2009). Visualize, analyze and mine satellite imagery using a single tool. 30. 1–6. 1 indexed citations
8.
Berendes, Todd, John R. Mecikalski, Wayne M. MacKenzie, Kristopher M. Bedka, & U. S. Nair. (2008). Convective cloud identification and classification in daytime satellite imagery using standard deviation limited adaptive clustering. Journal of Geophysical Research Atmospheres. 113(D20). 61 indexed citations
9.
Berendes, Todd, et al.. (2007). Efficient Parallel Computation of Inverse Document Frequency Features for Text Mining.. 273–278. 2 indexed citations
10.
Mecikalski, John R., Wayne F. Feltz, John Murray, et al.. (2007). Aviation Applications for Satellite-Based Observations of Cloud Properties, Convection Initiation, In-Flight Icing, Turbulence, and Volcanic Ash. Bulletin of the American Meteorological Society. 88(10). 1589–1607. 48 indexed citations
11.
Berendes, Todd, et al.. (2004). Cloud cover comparisons of the MODIS daytime cloud mask with surface instruments at the north slope of Alaska ARM site. IEEE Transactions on Geoscience and Remote Sensing. 42(11). 2584–2593. 22 indexed citations
12.
Berendes, Todd, et al.. (2001). Interactive Visualizer and Image Classifier for Satellites (IVICS). AGUSM. 2001. 3 indexed citations
13.
Christopher, Sundar A., Joyce Chou, Jianglong Zhang, et al.. (2000). Shortwave direct radiative forcing of biomass burning aerosols estimated using VIRS and CERES data. Geophysical Research Letters. 27(15). 2197–2200. 52 indexed citations
14.
Logar, Alessandro, et al.. (1998). The ASTER polar cloud mask. IEEE Transactions on Geoscience and Remote Sensing. 36(4). 1302–1312. 7 indexed citations
15.
Logar, Alessandro, et al.. (1997). A hybrid histogram/neural network classifier for creating global cloud masks. International Journal of Remote Sensing. 18(4). 847–869. 2 indexed citations
16.
Berendes, Todd, Ronald M. Welch, Qing Z. Trepte, Crystal Schaaf, & Bryan A. Baum. (1996). The EOS CERES Global Cloud Mask. NASA Technical Reports Server (NASA). 1 indexed citations
17.
Logar, Alessandro, et al.. (1993). An intercomparison of artificial intelligence approaches for polar scene identification. Journal of Geophysical Research Atmospheres. 98(D3). 5001–5016. 27 indexed citations
18.
Berendes, Todd, et al.. (1992). Cumulus cloud base height estimation from high spatial resolution Landsat data: a Hough transform approach. IEEE Transactions on Geoscience and Remote Sensing. 30(3). 430–443. 24 indexed citations
19.
Sengupta, Samarjit, et al.. (1990). Automated cloud base height determination from high resolution Landsat data - A Hough transform approach. 1 indexed citations
20.
Sengupta, Samarjit, et al.. (1990). Cumulus Cloud Field Morphology and Spatial Patterns Derived from High Spatial Resolution Landsat Imagery. Journal of Applied Meteorology. 29(12). 1245–1267. 56 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by B. Guillemet Breakdown of academic impact, for papers by Catherine Moroney Breakdown of academic impact, for papers by Xiaoyong Zhuge Breakdown of academic impact, for papers by Paul M. Tag Breakdown of academic impact, for papers by Run Ma Breakdown of academic impact, for papers by Danyu Qin Breakdown of academic impact, for papers by Nandana Amarasinghe Breakdown of academic impact, for papers by Yanli Qiao Breakdown of academic impact, for papers by H. Le Gléau Breakdown of academic impact, for papers by S. Dutcher
Rankless by CCL
2026