D. Goodman

497 citations
12 papers · 343 · h-index 8

Impact in

    • Digital Filter Design and Implementation
    • Stability and Control of Uncertain Systems
    • Control Systems and Identification
    • Stability and Controllability of Differential Equations

Papers in

D. Goodman

11 papers receiving 312 citations

Peers

D. Goodman
Comparison fields: 5 of 67
  • Signal Processing 136
  • Control and Systems Engineering 132
  • Numerical Analysis 28
  • Computational Theory and Mathematics 64
  • Computer Vision and Pattern Recognition 63
Replace H.C. Reddy with:
H.C. Reddy United States
P. Vilbé France
Zhang Liu China
Henry D'Angelo United States
Wen Mi China
V.K. Aatre Canada
Jian‐ao Lian United States
Shripad Thite United States
Robert Orsi Australia
Koichi Niijima Japan
D. Goodman relative to H.C. Reddy United States H.C. Reddy's profile →
Citations per field
00.5×1.7×
H.C. Reddy · 1×
Citations per year

Countries citing papers authored by D. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by D. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Goodman. 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 D. Goodman. The network helps show where D. Goodman may publish in the future.

Co-authors

The 10 scholars most cited alongside D. Goodman, 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 D. Goodman Line = papers co-authored together D. Goodman links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1977177
2 197848
3 197841
4 199519
5 198219
6 198014
7 197613
8 19878
9
Active and passive computed tomography algorithm with a constrained conjugate gradient solution
19982
10 19801
11 19981
12 20050

About D. Goodman

D. Goodman is a scholar working on Control and Systems Engineering, Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence, having authored 12 papers that have together received 343 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (3 papers), Control Systems and Identification (3 papers), Image and Signal Denoising Methods (2 papers), Stability and Controllability of Differential Equations (2 papers), Advanced Adaptive Filtering Techniques (1 paper), Advanced X-ray Imaging Techniques (1 paper), Physics and Engineering Research Articles (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Signal Processing (136 citations), Control and Systems Engineering (132 citations), Numerical Analysis (28 citations), Computational Theory and Mathematics (64 citations) and Computer Vision and Pattern Recognition (63 citations). D. Goodman has collaborated with scholars based in United States. Frequent co-authors include John Whittier Treat, E. Miller, M. P. Ekstrom, R.L. Kashyap, H.E. Martz, Derek J. Smithies, J. Stuart Nelson, Nader Bagherzadeh, Peter Fitch and Thomas E. Milner. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Automatic Control, Pattern Recognition Letters, Monumenta Nipponica and IEEE Transactions on Circuits and 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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