Neal C. Gallagher

4.5k citations
104 papers · 3.5k indexed · 1 hit paper · h-index 26
Topics
Image and Signal Denoising Methods (22 papers)Digital Filter Design and Implementation (17 papers)Photonic and Optical Devices (15 papers)
Partner nations
United StatesChina

In The Last Decade

Neal C. Gallagher

99 papers receiving 3.1k citations

Hit Papers

A theoretical analysis of the properties of median filters19812026199620111981100200300400500

Peers

Neal C. Gallagher
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 2.0k
  • Signal Processing 778
  • Media Technology 680
  • Computational Mechanics 558
  • Atomic and Molecular Physics, and Optics 527
Replace Gonzalo R. Arce with:
Gonzalo R. Arce United States
A. J. E. M. Janssen Netherlands
José L. Marroquín Mexico
Y. C. Pati United States
Henry Stark United States
R.M. Mersereau United States
Yoram Bresler United States
David Casasent United States
B. Liu United States
W.C. Karl United States
Neal C. Gallagher relative to Gonzalo R. Arce United States Gonzalo R. Arce's profile →
Citations per field
00.5×1.5×
Gonzalo R. Arce · 1×
Citations per year

Countries citing papers authored by Neal C. Gallagher

Since Specialization
Citations

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

Fields of papers citing papers by Neal C. Gallagher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neal C. Gallagher. 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 Neal C. Gallagher. The network helps show where Neal C. Gallagher may publish in the future.

Co-authorship network of co-authors of Neal C. Gallagher

This figure shows the co-authorship network connecting the top 25 collaborators of Neal C. Gallagher. A scholar is included among the top collaborators of Neal C. Gallagher 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 Neal C. Gallagher. Neal C. Gallagher 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 1
3 34
4
Robust Halftoning with Green-Noise.
4
5 1
6 0
7 7
8 14
9 66
10 1
11 45
12 61
13 1
14
Median Filtering of Speckle Noise.
3
15 20
16 24
17 10
18 9
19 4
20 28

About Neal C. Gallagher

Neal C. Gallagher is a scholar working on Surfaces, Coatings and Films, Media Technology and Signal Processing, having authored 104 papers that have together received 3.5k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (22 papers), Digital Filter Design and Implementation (17 papers) and Photonic and Optical Devices (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Media Technology (680 citations) and Signal Processing (778 citations). Neal C. Gallagher has collaborated with scholars based in United States and China. Frequent co-authors include Edward J. Coyle, G.L. Wise, Peter Wendt, Gonzalo R. Arce, J. Patrick Fitch, B. Liu, J.A. Bucklew, Daniel L. Lau, Moncef Gabbouj and Patricia Murphy. 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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