David L. Neuhoff

139 papers receiving 3.1k citations

Hit Papers

Quantization199820262007201619982505007501000

Peers

David L. Neuhoff
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 1.9k
  • Electrical and Electronic Engineering 816
  • Artificial Intelligence 798
  • Computer Networks and Communications 685
  • Signal Processing 610
Replace Michael W. Marcellin with:
Michael W. Marcellin United States
Gene Cheung Japan
Jonathan S. Yedidia United States
B. K. Natarajan United States
Gregory K. Wallace United States
Arun N. Netravali United States
John W. Woods United States
K. Zeger United States
Jerry D. Gibson United States
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David L. Neuhoff relative to Michael W. Marcellin United States Michael W. Marcellin's profile →
Citations per field
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Michael W. Marcellin · 1×
Citations per year

Countries citing papers authored by David L. Neuhoff

Since Specialization
Citations

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

Fields of papers citing papers by David L. Neuhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Neuhoff. 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 David L. Neuhoff. The network helps show where David L. Neuhoff may publish in the future.

Co-authorship network of co-authors of David L. Neuhoff

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Neuhoff. A scholar is included among the top collaborators of David L. Neuhoff 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 David L. Neuhoff. David L. Neuhoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 82
3 6
4 11
5 7
6 7
7
On the Many-to-One Transport Capacity of a Dense Wireless Sensor Network and the Compressibility of Its Data
0
8 21
9
Quantization (invited paper)
2
10 48
11 57
12 6
13
Optimizing the motion vector accuracies in block-based video coding.
2
14
Reducing rate/complexity in video coding by motion estimation with block adaptive accuracy.
1
15 56
16 7
17
Model-based halftoning
3
18 79
19
Average error probability for direct sequence spread spectrum multiple access communication systems
0
20 1

About David L. Neuhoff

David L. Neuhoff is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 156 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (81 papers), Algorithms and Data Compression (39 papers) and Image and Signal Denoising Methods (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Signal Processing (610 citations) and Computer Graphics and Computer-Aided Design (106 citations). David L. Neuhoff has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Robert M. Gray, Thrasyvoulos N. Pappas, Paul C. Shields, Marco Dima, Dennis Hui, Robin C. Gilbert, J. Ribas-Corbera, L. Davisson, Daniel De Marco and Stephen McLaughlin. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

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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