T. Lookabaugh

1.6k citations
13 papers · 1.2k indexed · h-index 8
Topics
Advanced Data Compression Techniques (12 papers)Image and Signal Denoising Methods (6 papers)Digital Filter Design and Implementation (6 papers)
Partner nations
United States

In The Last Decade

T. Lookabaugh

12 papers receiving 1.1k citations

Peers

T. Lookabaugh
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 890
  • Signal Processing 459
  • Artificial Intelligence 345
  • Computer Networks and Communications 229
  • Electrical and Electronic Engineering 146
Replace D.E. Boekee with:
D.E. Boekee Netherlands
Glen G. Langdon United States
L. Kurz United States
Béatrice Pesquet‐Popescu France
Yuriy A. Reznik United States
S.D. Servetto United States
Henk D. L. Hollmann Netherlands
Pauli Kuosmanen Finland
Peter Wendt United States
I. Sebestyén Austria
T. Lookabaugh relative to D.E. Boekee Netherlands D.E. Boekee's profile →
Citations per field
00.5×3.0×
D.E. Boekee · 1×
Citations per year

Countries citing papers authored by T. Lookabaugh

Since Specialization
Citations

This map shows the geographic impact of T. Lookabaugh'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 T. Lookabaugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Lookabaugh more than expected).

Fields of papers citing papers by T. Lookabaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Lookabaugh

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 0
3 5
4 5
5 16
6 44
7 59
8 134
9 14
10 309
11 427
12 139
13
Variable rate and adaptive frequency domain vector quantization of speech
7

About T. Lookabaugh

T. Lookabaugh is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (12 papers), Image and Signal Denoising Methods (6 papers) and Digital Filter Design and Implementation (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (890 citations), Signal Processing (459 citations) and Artificial Intelligence (345 citations). T. Lookabaugh has collaborated with scholars based in United States. Frequent co-authors include Robert M. Gray, Philip A. Chou, M. Longo and E.A. Riskin. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Medical Imaging and IEEE Transactions on Communications.

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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