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.
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 →
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 D. M. Giles'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 D. M. Giles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. M. Giles more than expected).
This network shows the impact of papers produced by D. M. Giles. 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 D. M. Giles. The network helps show where D. M. Giles may publish in the future.
Co-authorship network of co-authors of D. M. Giles
This figure shows the co-authorship network connecting the top 25 collaborators of D. M. Giles.
A scholar is included among the top collaborators of D. M. Giles 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 D. M. Giles. D. M. Giles is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sinyuk, A., B. N. Holben, T. F. Eck, et al.. (2020). The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2. Atmospheric measurement techniques. 13(6). 3375–3411.244 indexed citations breakdown →
5.
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
6.
Giles, D. M., A. Sinyuk, M. G. Sorokin, et al.. (2019). 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. Atmospheric measurement techniques. 12(1). 169–209.801 indexed citations breakdown →
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
10.
Lin, Neng‐Huei, Ellsworth J. Welton, B. N. Holben, et al.. (2015). Vertical Distribution and Columnar Optical Properties of Springtime Biomass-Burning Aerosols over Northern Indochina during the 7-SEAS/BASELInE field campaign. AGU Fall Meeting Abstracts. 2015.1 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
13.
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
Giles, D. M., B. N. Holben, T. F. Eck, et al.. (2011). Dominant Aerosol Particle Type/Mixture Identification at Worldwide Locations Using the Aerosol Robotic Network (AERONET). AGU Fall Meeting Abstracts. 2011.1 indexed citations
17.
Sinyuk, A., Оleg Dubovik, B. N. Holben, et al.. (2008). Multi-sensor aerosol retrievals using joint inversion of AERONET and satellite observations: concept and applications.. AGU Fall Meeting Abstracts. 2008.1 indexed citations
18.
Smirnov, A., B. N. Holben, C. R. McClain, et al.. (2007). Oceanic Aerosol Network: A Maritime Component of AERONET. AGU Spring Meeting Abstracts. 2007.1 indexed citations
19.
Giles, D. M., B. N. Holben, I. Slutsker, et al.. (2006). A New Web-based Tool for Aerosol Data Analysis: the AERONET Data Synergy Tool. AGUFM. 2006.1 indexed citations
20.
Giles, D. M.. (2001). Tilting Ceilometers To Improve Cloud Base Height Detection in Precipitation.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.