José Tribolet

3.1k citations
113 papers · 1.5k · h-index 17

Impact in

Papers in

José Tribolet

99 papers receiving 1.3k citations

Peers

José Tribolet
Comparison fields: 5 of 103
  • Signal Processing 719
  • Management Information Systems 273
  • Computer Vision and Pattern Recognition 583
  • Computational Mechanics 305
  • Artificial Intelligence 297
Replace Shinichi Nakajima with:
Shinichi Nakajima Japan
Zhaosong Lu Canada
Peter Toft United Kingdom
David Duke United Kingdom
Reginald L. Lagendijk Netherlands
Witold Kinsner Canada
Stephen B. Weinstein United States
Wynn C. Stirling United States
Murray Browne United States
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Citations per field
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Citations per year

Countries citing papers authored by José Tribolet

Since Specialization
Citations

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

Fields of papers citing papers by José Tribolet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside José Tribolet, 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 José Tribolet Line = papers co-authored together José Tribolet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977325
2
Speech Coding
1979146
3 1979137
4 1979126
5 200586
6 198347
7 201347
8 197744
9 197637
10
Seismic applications of homomorphic signal processing
197936
11 200227
12 197924
13 198023
14 200522
15 200221
16 200418
17 200516
18
Business Process Modeling with UML.
200115
19 200915
20 200915

About José Tribolet

José Tribolet is a scholar working on Management Information Systems, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Artificial Intelligence, having authored 113 papers that have together received 1.5k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (40 papers), Information Technology Governance and Strategy (27 papers), Service-Oriented Architecture and Web Services (24 papers), Advanced Data Compression Techniques (23 papers), Speech and Audio Processing (23 papers), Advanced Adaptive Filtering Techniques (10 papers), Digital Filter Design and Implementation (9 papers) and Collaboration in agile enterprises (9 papers). The work is most often cited by research in Signal Processing (719 citations), Management Information Systems (273 citations), Computer Vision and Pattern Recognition (583 citations), Computational Mechanics (305 citations) and Artificial Intelligence (297 citations). José Tribolet has collaborated with scholars based in Portugal, United States and Switzerland. Frequent co-authors include R. Crochiere, Bishnu S. Atal, Manfred R. Schroeder, N. Jayant, James L. Flanagan, Luı́s B. Almeida, Artur Caetano, Alan V. Oppenheim, G. Kopec and P. Noll. Their work appears in journals such as IEEE Transactions on Communications, The Journal of the Acoustical Society of America, Information Resources Management Journal, Speech Communication and The Learning Organization.

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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