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.
Modeling Surface Solar Irradiance for Satellite Applications on a Global Scale
1992509 citationsR. T. Pinker, István Lászlóprofile →
Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm
2011489 citationsAlexei Lyapustin, Yun Wang et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of István László'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 István László with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites István László more than expected).
This network shows the impact of papers produced by István László. 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 István László. The network helps show where István László may publish in the future.
Co-authorship network of co-authors of István László
This figure shows the co-authorship network connecting the top 25 collaborators of István László.
A scholar is included among the top collaborators of István László 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 István László. István László is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhou, Mi, et al.. (2018). Preliminary Evaluation of GOES-16 ABI Aerosol Optical Depth Product. AGU Fall Meeting Abstracts. 2018.2 indexed citations
8.
László, István. (2013). Aerosol retrieval from SNPP/VIIRS: Analysis of technique and data quality. EGU General Assembly Conference Abstracts.1 indexed citations
Hoff, R. M., et al.. (2012). Aerosol Optical Depth (AOD) Retrieval using GOES-East and GOES-West Reflected Radiances over the Western United States. AGU Fall Meeting Abstracts. 2012.
Lyapustin, Alexei, A. Smirnov, B. N. Holben, et al.. (2011). MODIS(中分解能撮像分光放射計)とAERONET(エアロゾル自動観測網)による2007年以降の北京におけるアエロゾル吸収の減少. Geophysical Research Letters. 38(10). 1–5.32 indexed citations
László, István. (2010). Towards Generalized Boundary Conditions in DISORT.1 indexed citations
15.
Ciren, Pubu, Shobha Kondragunta, István László, & A. I. Prados. (2006). Retrieval of Aerosol Optical Thickness from Geostationary Satellite (GOES): assessment and improvement. AGU Spring Meeting Abstracts. 2007.1 indexed citations
16.
László, István, et al.. (2005). Evaluation of a Remote Sensing Based Regional Flood/Waterlog and Drought Monitoring Model Utilising Multi-Source Satellite Data Set Including Envisat Data. ESASP. 572.1 indexed citations
17.
László, István, et al.. (2004). Application Development for the Utilisation of ENVISAT Data. ESASP. 549. 37.1 indexed citations
18.
Tsay, Si‐Chee, Knut Stamnes, W. J. Wiscombe, István László, & Franco Einaudi. (2000). General Purpose Fortran Program for Discrete-Ordinate-Method Radiative Transfer in Scattering and Emitting Layered Media: An Update of DISORT.82 indexed citations
19.
Whitlock, C. H., Thomas P. Charlock, W. F. Staylor, et al.. (1993). WCRP surface radiation budget shortwave data product description, version 1.1. NASA Technical Reports Server (NASA).13 indexed citations
20.
László, István, et al.. (1990). On the variability of surface insolation in the equatorial Pacific.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.