Allen M. Waxman

3.1k citations
89 papers · 2.3k indexed · h-index 27

Allen M. Waxman

86 papers receiving 2.0k citations

Peers

Allen M. Waxman
Comparison fields: 5 of 110
  • Media Technology 719
  • Computer Vision and Pattern Recognition 1.3k
  • Aerospace Engineering 742
  • Computer Graphics and Computer-Aided Design 102
  • Cognitive Neuroscience 277
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Citations per year

Countries citing papers authored by Allen M. Waxman

Since Specialization
Citations

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

Fields of papers citing papers by Allen M. Waxman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allen M. Waxman. 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 Allen M. Waxman. The network helps show where Allen M. Waxman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200729
2 200666
3 20042
4 20042
5 20041
6 200329
7
A Prototype System for 3D Color Fusion and Mining of Multisensor/Spectral Imagery
200119
8
Multi- sensor Image Fusion for Efficient Color 3D Site Visualization and Rapid Analysis Utilizing Search Acceleration Algorithms
20001
9
Visual processing of object form and environment layout
19982
10 1997102
11 19952
12 19953
13 199164
14 199018
15
Learning Aspect Graph Representations from View Sequences
198921
16
Neural Analog Diffusion-Enhancement Layer and Spatio-Temporal Grouping in Early Vision
19886
17
Contour evolution, neighborhood deformation and image flow: textured surfaces in motion
19879
18
Visual Navigation of Roadways
19863
19 1986136
20
On the Uniqueness of Image Flow Solutions for Planar Surfaces in Motion
198538

About Allen M. Waxman

Allen M. Waxman is a scholar working on Media Technology, Computer Graphics and Computer-Aided Design and Aerospace Engineering, having authored 89 papers that have together received 2.3k indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (26 papers), Advanced Image Fusion Techniques (22 papers), Remote-Sensing Image Classification (16 papers), Advanced Vision and Imaging (15 papers), CCD and CMOS Imaging Sensors (12 papers), Neural Networks and Applications (11 papers), Robotics and Sensor-Based Localization (8 papers) and Visual perception and processing mechanisms (6 papers). The work is most often cited by research in Media Technology (719 citations), Computer Vision and Pattern Recognition (1.3k citations) and Aerospace Engineering (742 citations). Allen M. Waxman has collaborated with scholars based in United States, Sweden and Belgium. Frequent co-authors include Michael Seibert, James H. Duncan, Mario Aguilar, Kwangyoen Wohn, Shimon Ullman, David A. Fay, Alexander Toet, J. K. Ijspeert, Neil A. Bomberger and Bradley J. Rhodes. Their work appears in journals such as Neural Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, The International Journal of Robotics Research, Journal of Non-Newtonian Fluid Mechanics and Robotics and Autonomous Systems.

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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