A. Schaum
- Media Technology top 0.2%
- Remote-Sensing Image Classification 50
- Atmospheric Science top 5%
- Remote Sensing and Land Use 12
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses 13
- Computational Mathematics top 10%
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- Image and Signal Denoising Methods 7
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- Infrared Target Detection Methodologies 26
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- Advanced Statistical Methods and Models 9
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- Geochemistry and Geologic Mapping 7
- Target Tracking and Data Fusion in Sensor Networks 7
- Co-authors
- Alan D. StockerScott G. BeavenLawrence E. HoffEdwin M. WinterDavid SteinM. J. McHughMichael T. EismannEric Allman
- Partner nations
- United StatesGermany
In The Last Decade
A. Schaum
63 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Media Technology 1.2k
- Atmospheric Science 480
- Analytical Chemistry 212
- Computational Mathematics 11
- Computer Vision and Pattern Recognition 289
Countries citing papers authored by A. Schaum
This map shows the geographic impact of A. Schaum'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 A. Schaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Schaum more than expected).
Fields of papers citing papers by A. Schaum
This network shows the impact of papers produced by A. Schaum. 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 A. Schaum. The network helps show where A. Schaum may publish in the future.
Co-authorship network
The 20 scholars most cited alongside A. Schaum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 0 | |
| 4 | 2021 | 10 | |
| 5 | 2020 | 4 | |
| 6 | 2017 | 1 | |
| 7 | 2015 | 1 | |
| 8 | 2015 | 2 | |
| 9 | 2013 | 21 | |
| 10 | 2010 | 32 | |
| 11 | 2009 | 1 | |
| 12 | 2008 | 32 | |
| 13 | 2008 | 0 | |
| 14 | 2007 | 76 | |
| 15 | 2005 | 21 | |
| 16 | Anomaly detection from hyperspectral imagerybreakdown → | 2002 | 542 |
| 17 | 1995 | 6 | |
| 18 | 1994 | 1 | |
| 19 | 1993 | 18 | |
| 20 | Dual Difference Filtering: A Replacement for Interpolation and Subtraction to Detect Changes in Misregistered Signals | 1992 | 1 |
About A. Schaum
A. Schaum is a scholar working on Media Technology, Analytical Chemistry, Aerospace Engineering, Statistics and Probability and Atmospheric Science, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (50 papers), Infrared Target Detection Methodologies (26 papers), Spectroscopy and Chemometric Analyses (13 papers), Remote Sensing and Land Use (12 papers), Advanced Statistical Methods and Models (9 papers), Image and Signal Denoising Methods (7 papers), Geochemistry and Geologic Mapping (7 papers) and Target Tracking and Data Fusion in Sensor Networks (7 papers). The work is most often cited by research in Media Technology (1.2k citations), Atmospheric Science (480 citations), Analytical Chemistry (212 citations), Computational Mathematics (11 citations) and Computer Vision and Pattern Recognition (289 citations). A. Schaum has collaborated with scholars based in United States and Germany. Frequent co-authors include Alan D. Stocker, Scott G. Beaven, Lawrence E. Hoff, Edwin M. Winter, David Stein, M. J. McHugh, Michael T. Eismann, Eric Allman, Richard G. Priest and Robert A. Leathers. Their work appears in journals such as Optics Express, IEEE Signal Processing Magazine, Applied Optics, Remote Sensing of Environment and Optical Engineering.
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.