T.J. Endres

17 papers receiving 606 citations

T.J. Endres's Hit Papers

Blind equalization using the constant modulus criterion: a review 1998 · 573 citations
5730+9+18Years since publication100200300400500

Peers

T.J. Endres
Comparison fields: 5 of 30
  • Signal Processing 548
  • Computational Mechanics 288
  • Electrical and Electronic Engineering 309
  • Artificial Intelligence 153
  • Computer Networks and Communications 109
Replace Jean-Jacques Werner with:
Jean-Jacques Werner United States
Inbar Fijalkow France
G. Prati Italy
G. Picchi Italy
B.G. Agee United States
Shafayat Abrar Pakistan
Alper T. Erdoğan Türkiye
Vijitha Weerackody United States
Gabriel Ruget France
Magno T. M. Silva Brazil
T.J. Endres relative to Jean-Jacques Werner United States Jean-Jacques Werner's profile →
Citations per field
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Jean-Jacques Werner · 1×
Citations per year

Countries citing papers authored by T.J. Endres

Since Specialization
Citations

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

Fields of papers citing papers by T.J. Endres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside T.J. Endres, 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 T.J. Endres Line = papers co-authored together T.J. Endres links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Blind equalization using the constant modulus criterion: a review
Hit paper breakdown →
1998573
2 200312
3 200310
4 20028
5 19997
6 19987
7 20027
8 19967
9 20026
10 19995
11 20013
12 20022
13 20032
14 20031
15 20021
16 20021
17 20021
18 20030
19 20030

About T.J. Endres

T.J. Endres is a scholar working on Signal Processing, Computational Mechanics, Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering, having authored 19 papers that have together received 653 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (16 papers), Advanced Adaptive Filtering Techniques (12 papers), Neural Networks and Applications (6 papers), Advanced Wireless Communication Techniques (5 papers), Advancements in PLL and VCO Technologies (3 papers), Speech and Audio Processing (3 papers), Numerical Methods and Algorithms (2 papers) and Wireless Communication Networks Research (2 papers). The work is most often cited by research in Signal Processing (548 citations), Computational Mechanics (288 citations), Electrical and Electronic Engineering (309 citations), Artificial Intelligence (153 citations) and Computer Networks and Communications (109 citations). T.J. Endres has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include R.A. Casas, Donald R. Brown, Philip Schniter, Roger D. Johnson, C.R. Johnson, M.D. Zoltowski, Brian D. O. Anderson, R.B. Hall, Ana María López and A. Shah. Their work appears in journals such as IEEE Transactions on Communications, International Journal of Adaptive Control and Signal Processing, IEEE Transactions on Signal Processing, Proceedings of the IEEE and IEEE Signal Processing Letters.

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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