Michael T. Eismann

1.8k citations
72 papers · 1.5k · h-index 17

Impact in

Papers in

    • Remote-Sensing Image Classification 42
    • Advanced Image Fusion Techniques 7
    • Infrared Target Detection Methodologies 27
    • Calibration and Measurement Techniques 9

Michael T. Eismann

66 papers receiving 1.4k citations

Peers

Michael T. Eismann
Comparison fields: 5 of 96
  • Media Technology 1.0k
  • Atmospheric Science 449
  • Acoustics and Ultrasonics 13
  • Analytical Chemistry 136
  • Computer Vision and Pattern Recognition 274
Replace Alan D. Stocker with:
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Michael T. Eismann relative to Alan D. Stocker United States Alan D. Stocker's profile →
Citations per field
00.5×4.3×
Alan D. Stocker · 1×
Citations per year

Countries citing papers authored by Michael T. Eismann

Since Specialization
Citations

This map shows the geographic impact of Michael T. Eismann'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 Michael T. Eismann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Eismann more than expected).

Fields of papers citing papers by Michael T. Eismann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Eismann. 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 Michael T. Eismann. The network helps show where Michael T. Eismann may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael T. Eismann, 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 Michael T. Eismann Line = papers co-authored together Michael T. Eismann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012310
2 2016222
3 2009194
4 200897
5 198964
6 201143
7 200833
8
Resolution enhancement of hyperspectral imagery using maximum a posteriori estimation with a stochastic mixing model
200430
9 201226
10 200526
11 201225
12 200424
13 201224
14 200821
15 199621
16 201519
17 201316
18 200516
19 201415
20 200715

About Michael T. Eismann

Michael T. Eismann is a scholar working on Media Technology, Aerospace Engineering, Atmospheric Science, Analytical Chemistry and Electrical and Electronic Engineering, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (42 papers), Infrared Target Detection Methodologies (27 papers), Remote Sensing and Land Use (13 papers), Spectroscopy and Chemometric Analyses (12 papers), Remote Sensing in Agriculture (10 papers), Calibration and Measurement Techniques (9 papers), Optical and Acousto-Optic Technologies (8 papers) and Advanced Image Fusion Techniques (7 papers). The work is most often cited by research in Media Technology (1.0k citations), Atmospheric Science (449 citations), Acoustics and Ultrasonics (13 citations), Analytical Chemistry (136 citations) and Computer Vision and Pattern Recognition (274 citations). Michael T. Eismann has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Joseph Meola, Alan D. Stocker, Nasser M. Nasrabadi, Bulent Ayhan, Chiman Kwan, Jin Zhou, Russell C. Hardie, Jack N. Cederquist, Anthony M. Tai and Joshua N. Ash. Their work appears in journals such as Optical Engineering, IEEE Transactions on Geoscience and Remote Sensing, Applied Optics, Optics Express and Journal of Applied Physics.

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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