Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization
19985.8k citationsB. N. Holben, T. F. Eck et al.profile →
The MODIS Aerosol Algorithm, Products, and Validation
20052.6k citationsL. A. Remer, Yoram J. Kaufman et al.Journal of the Atmospheric Sciencesprofile →
Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations
20022.4k citationsОleg Dubovik, B. N. Holben et al.Journal of the Atmospheric Sciencesprofile →
Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols
19991.8k citationsT. F. Eck, B. N. Holben et al.profile →
Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements
20001.5k citationsОleg Dubovik, A. Smirnov et al.profile →
Cloud-Screening and Quality Control Algorithms for the AERONET Database
20001.2k citationsA. Smirnov, B. N. Holben et al.profile →
Global evaluation of the Collection 5 MODIS dark-target aerosol products over land
20101.0k citationsR. C. Levy, L. A. Remer et al.Atmospheric chemistry and physicsprofile →
A review of biomass burning emissions part III: intensive optical properties of biomass burning particles
2005998 citationsJeffrey S. Reid, T. F. Eck et al.Atmospheric chemistry and physicsprofile →
Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements
2019801 citationsD. M. Giles, A. Sinyuk et al.Atmospheric measurement techniquesprofile →
Spectral discrimination of coarse and fine mode optical depth
2003554 citationsT. F. Eck, A. Smirnov et al.profile →
Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network
2010445 citationsRalph A. Kahn, B. J. Gaitley et al.profile →
The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2
2020244 citationsA. Sinyuk, B. N. Holben et al.Atmospheric measurement techniquesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of T. F. Eck'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 T. F. Eck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. F. Eck more than expected).
This network shows the impact of papers produced by T. F. Eck. 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 T. F. Eck. The network helps show where T. F. Eck may publish in the future.
Co-authorship network of co-authors of T. F. Eck
This figure shows the co-authorship network connecting the top 25 collaborators of T. F. Eck.
A scholar is included among the top collaborators of T. F. Eck 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 T. F. Eck. T. F. Eck is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Giles, D. M., I. Slutsker, M. G. Sorokin, et al.. (2019). Uncertainty and Bias in AERONET Nighttime AOD Measurements. AGU Fall Meeting Abstracts. 2019.4 indexed citations
Giles, D. M., B. N. Holben, T. F. Eck, et al.. (2017). Aerosol Robotic Network (AERONET) Version 3 Aerosol Optical Depth and Inversion Products. AGU Fall Meeting Abstracts. 2017.5 indexed citations
Eck, T. F., B. N. Holben, Joel S. Schafer, et al.. (2014). Observations of the Interaction and/or Transport of Aerosols with Cloud or Fog during DRAGON Campaigns from AERONET Ground-Based Remote Sensing. EGU General Assembly Conference Abstracts. 4276.1 indexed citations
Eck, T. F., B. N. Holben, Jörg Schäfer, et al.. (2013). Observations of the Interaction of Aerosols with Cloud or Fog during DRAGON Campaigns from AERONET Ground-Based Remote Sensing. AGU Fall Meeting Abstracts. 2013.1 indexed citations
14.
Giles, D. M., B. N. Holben, T. F. Eck, et al.. (2012). Using the Aerosol Single Scattering Albedo and Angstrom Exponent from AERONET to Determine Aerosol Origins and Mixing States over the Indo-Gangetic Plain. AGUFM. 2012.1 indexed citations
15.
Kahn, Ralph A., B. J. Gaitley, M. J. Garay, et al.. (2010). MISR Global Aerosol Product Assessment by Comparison with AERONET. NASA STI Repository (National Aeronautics and Space Administration). 2010.5 indexed citations
16.
Dubovik, Оleg, B. N. Holben, T. F. Eck, et al.. (2002). Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations. Journal of the Atmospheric Sciences. 59(3). 590–608.2366 indexed citations breakdown →
Reid, Jeffrey S., Douglas L. Westphal, S. A. Christopher, et al.. (2002). South American smoke coverage and flux estimations from the Fire Locating and Modeling of Burning Emissions (FLAMBE') system.. AGUSM. 2002.1 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.