Lonnie C. Ludeman
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Signal Processing
- Artificial Intelligence
- Co-authors
- Vojko GlaserAleš HolobarDamjan Zazula
- Topics
- Image and Signal Denoising Methods (3 papers)Underwater Acoustics Research (3 papers)Digital Filter Design and Implementation (3 papers)
- Cited by
- Statistics, Probability and UncertaintySignal ProcessingComputer Vision and Pattern Recognition
- Journals
- Computers & Industrial EngineeringAndalas University Repository (Andalas University)CERN Document Server (European Organization for Nuclear Research)
- Partner nations
- United StatesSlovenia
In The Last Decade
Lonnie C. Ludeman
15 papers receiving 210 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 58
- Control and Systems Engineering 43
- Electrical and Electronic Engineering 43
- Signal Processing 37
- Artificial Intelligence 37
Countries citing papers authored by Lonnie C. Ludeman
This map shows the geographic impact of Lonnie C. Ludeman'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 Lonnie C. Ludeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lonnie C. Ludeman more than expected).
Fields of papers citing papers by Lonnie C. Ludeman
This network shows the impact of papers produced by Lonnie C. Ludeman. 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 Lonnie C. Ludeman. The network helps show where Lonnie C. Ludeman may publish in the future.
Co-authorship network of co-authors of Lonnie C. Ludeman
This figure shows the co-authorship network connecting the top 25 collaborators of Lonnie C. Ludeman. A scholar is included among the top collaborators of Lonnie C. Ludeman 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 Lonnie C. Ludeman. Lonnie C. Ludeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Fundamental of digital signal processing | 6 |
| 2 | Sequential convolution kernel compensation with block input | 1 |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 19 | |
| 8 | 30 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 11 | |
| 12 | 28 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | Fundamentals of Digital Signal Processing | 119 |
| 17 | A Software Package for Estimating Time Differences for Artillery Sound Ranging Applications. | 1 |
| 18 | 1 | |
| 19 | 1 |
About Lonnie C. Ludeman
Lonnie C. Ludeman is a scholar working on Signal Processing, Oceanography and Statistics and Probability, having authored 19 papers that have together received 235 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (3 papers), Underwater Acoustics Research (3 papers) and Digital Filter Design and Implementation (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (30 citations), Signal Processing (37 citations) and Computer Vision and Pattern Recognition (58 citations). Lonnie C. Ludeman has collaborated with scholars based in United States and Slovenia. Frequent co-authors include Vojko Glaser, Aleš Holobar and Damjan Zazula. Their work appears in journals such as Computers & Industrial Engineering, Andalas University Repository (Andalas University) and CERN Document Server (European Organization for Nuclear Research).
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.