M. Rivera

696 citations
49 papers · 574 · h-index 14

Impact in

Papers in

M. Rivera

44 papers receiving 555 citations

Peers

M. Rivera
Comparison fields: 5 of 82
  • Statistical and Nonlinear Physics 331
  • Computer Networks and Communications 390
  • Electrochemistry 35
  • Cognitive Neuroscience 105
  • Molecular Medicine 19
Replace Zhaoyang Huang with:
Zhaoyang Huang China
Gabor Schmera United States
Bogdan Penkovsky France
Hisa‐Aki Tanaka Japan
Bing-Wei Li China
Andy Kho United States
Brian K. Meadows United States
Gerardo J. Escalera Santos Mexico
Yuanzhao Zhang United States
M. Rivera relative to Zhaoyang Huang China Zhaoyang Huang's profile →
Citations per field
00.5×6.3×
Zhaoyang Huang · 1×
Citations per year

Countries citing papers authored by M. Rivera

Since Specialization
Citations

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

Fields of papers citing papers by M. Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199994
2 200738
3 200435
4 201033
5 200431
6 200531
7 201528
8 201422
9 200522
10 201121
11 200616
12 201615
13 200013
14 201713
15 199913
16 201611
17 201811
18 200710
19 200910
20 20139

About M. Rivera

M. Rivera is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Cognitive Neuroscience and Molecular Biology, having authored 49 papers that have together received 574 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (32 papers), stochastic dynamics and bifurcation (25 papers), Chaos control and synchronization (13 papers), Neural dynamics and brain function (9 papers), Multilevel Inverters and Converters (4 papers), Plasma Diagnostics and Applications (4 papers), Plasma Applications and Diagnostics (4 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (331 citations), Computer Networks and Communications (390 citations), Electrochemistry (35 citations), Cognitive Neuroscience (105 citations) and Molecular Medicine (19 citations). M. Rivera has collaborated with scholars based in Mexico, India and United Kingdom. Frequent co-authors include P. Parmananda, Gerardo J. Escalera Santos, Róger Madrigal, José‐Manuel Cruz, Vilmos Gáspár, István Z. Kiss, Lajos Nyikos, Moumita Dasgupta, M. Eiswirth and Fernando Montoya. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physical review. E, IEEE Transactions on Plasma Science, Chaos Solitons & Fractals and Physical Review 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.

Explore authors with similar magnitude of impact