Andrew Wald

2.1k citations
15 papers · 1.7k indexed · 1 hit paper · h-index 11

Andrew Wald

15 papers receiving 1.6k citations

Hit Papers

The MODIS 2.1-μm channel-correlation with visible reflect...6891997202620062016200400600

Peers

Andrew Wald
Comparison fields: 5 of 86
  • Atmospheric Science 808
  • Global and Planetary Change 850
  • Environmental Engineering 383
  • Media Technology 173
  • Ecology 431
Replace Dana M. D'Aria with:
Dana M. D'Aria United States
A. M. Baldridge United States
R.O. Green United States
Gerardo Rivera United States
Elsa Abbott United States
Michel Gay France
P. E. Johnson United States
Bruno Lafrance Canada
Michael W. Matthew United States
J. Frerick Netherlands
Andrew Wald relative to Dana M. D'Aria United States Dana M. D'Aria's profile →
Citations per field
00.5×1.5×2.3×
Dana M. D'Aria · 1×
Citations per year

Countries citing papers authored by Andrew Wald

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Wald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Andrew Wald, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrew Wald Line = papers co-authored together Andrew Wald links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201712
2 20166
3 20152
4 201411
5 200163
6 2001151
7 199863
8
The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosolbreakdown →
1997689
9 199573
10 199449
11 1994208
12 199488
13
Angular Dependence of Spectral Emissivity of Quartz and Basalt
19922
14 1992256
15 19901

About Andrew Wald

Andrew Wald is a scholar working on Atmospheric Science, Environmental Engineering, Global and Planetary Change, Aerospace Engineering and Geochemistry and Petrology, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (7 papers), Urban Heat Island Mitigation (5 papers), Climate change and permafrost (4 papers), Calibration and Measurement Techniques (4 papers), Remote Sensing in Agriculture (3 papers), Atmospheric Ozone and Climate (3 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Atmospheric chemistry and aerosols (2 papers). The work is most often cited by research in Atmospheric Science (808 citations), Global and Planetary Change (850 citations), Environmental Engineering (383 citations), Media Technology (173 citations) and Ecology (431 citations). Andrew Wald has collaborated with scholars based in United States and Israel. Frequent co-authors include John W. Salisbury, Yoram J. Kaufman, L. A. Remer, Bo‐Cai Gao, Rongrong Li, Luke Flynn, Dana M. D'Aria, Arnon Karnieli, D. Tanré and Y. J. Kaufman. Their work appears in journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Geoscience and Remote Sensing, Journal of Air Transport Management, Remote Sensing of Environment and Icarus.

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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