J. E. Mazo

3.2k citations
59 papers · 2.4k indexed · 1 hit paper · h-index 23

Impact in

Papers in

J. E. Mazo

56 papers receiving 2.1k citations

Hit Papers

Faster-Than-Nyquist Signaling 1975 · 502 citations
5021975202619922009100200300400500

Peers

J. E. Mazo
Comparison fields: 5 of 60
  • Signal Processing 623
  • Computer Networks and Communications 869
  • Electrical and Electronic Engineering 1.6k
  • Computational Mechanics 451
  • Computational Theory and Mathematics 187
Replace J. Salz with:
J. Salz United States
D. L. Schilling United States
S. Pasupathy Canada
N. Benvenuto Italy
Philippe Loubaton France
U. Mengali Italy
A. Polydoros United States
I. M. Jacobs United States
Zhi-Quan Luo United States
D.P. Taylor New Zealand
J. E. Mazo relative to J. Salz United States J. Salz's profile →
Citations per field
00.5×2.5×
J. Salz · 1×
Citations per year

Countries citing papers authored by J. E. Mazo

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Mazo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20033
2 20026
3 20026
4 20024
5 1993162
6 199258
7 199037
8 198924
9 1988113
10 198581
11 19835
12 1979183
13 197643
14 19755
15
Faster-Than-Nyquist Signaling
Hit paper breakdown →
1975502
16 197393
17 1969140
18 196810
19 19669
20 196552

About J. E. Mazo

J. E. Mazo is a scholar working on Signal Processing, Computer Networks and Communications, Electrical and Electronic Engineering, Computational Theory and Mathematics and Statistics and Probability, having authored 59 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (18 papers), Error Correcting Code Techniques (10 papers), Blind Source Separation Techniques (8 papers), Advancements in PLL and VCO Technologies (6 papers), Optical Network Technologies (6 papers), Analog and Mixed-Signal Circuit Design (5 papers), Algorithms and Data Compression (5 papers) and Wireless Communication Networks Research (4 papers). The work is most often cited by research in Signal Processing (623 citations), Computer Networks and Communications (869 citations), Electrical and Electronic Engineering (1.6k citations), Computational Mechanics (451 citations) and Computational Theory and Mathematics (187 citations). J. E. Mazo has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include J. Salz, Richard D. Gitlin, A.R. Calderbank, H. J. Landau, Ender Ayanoğlu, I Chih‐Lin, Michael G. Taylor, P. M. Ebert, D. Duttweiler and David G. Messerschmitt. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Information Theory, Bell System Technical Journal, Proceedings of the IEEE and IEEE Journal on Selected Areas in 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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