V. Protopopescu

2.3k citations
90 papers · 1.6k indexed · h-index 19

Impact in

Papers in

V. Protopopescu

82 papers receiving 1.5k citations

Peers

V. Protopopescu
Comparison fields: 5 of 131
  • Statistical and Nonlinear Physics 395
  • Signal Processing 164
  • Cognitive Neuroscience 274
  • Mathematical Physics 121
  • Numerical Analysis 65
Replace Yue M. Lu with:
Yue M. Lu United States
M. L. J. Hautus Netherlands
Jérôme Idier France
D.M. Healy United States
Bernadette Dorizzi France
Joseph Shamir Israel
Haomin Zhou United States
C. K. Yuen Australia
K.W. Cattermole United Kingdom
Jared Tanner United States
V. Protopopescu relative to Yue M. Lu United States Yue M. Lu's profile →
Citations per field
00.5×1.5×2.2×
Yue M. Lu · 1×
Citations per year

Countries citing papers authored by V. Protopopescu

Since Specialization
Citations

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

Fields of papers citing papers by V. Protopopescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Fast and secure encryption-decryption method based on chaotic dynamics
20230
2 20216
3
ON EVALUATION NEEDS OF REAL-LIFE SENSOR NETWORK DEPLOYMENTS †
20120
4
Optimal control of parameters and input functions for nonlinear systems
20075
5 2007122
6 20063
7
Optimal Control Theory Applied to a Difference Equation Model of Cardiopulmonary Resuscitation with Chest Compression Only
20051
8 20051
9 2004447
10
Preventing Computational Chaos in Asynchronous Neural Networks.
20032
11 200347
12 200339
13 200132
14 20002
15 199613
16 19921
17 19890
18 19893
19 19886
20 19876

About V. Protopopescu

V. Protopopescu is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Applied Mathematics, Numerical Analysis and Radiation, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (13 papers), Spectral Theory in Mathematical Physics (10 papers), Nuclear Physics and Applications (9 papers), Gas Dynamics and Kinetic Theory (9 papers), Advanced Thermodynamics and Statistical Mechanics (9 papers), Advanced Mathematical Modeling in Engineering (9 papers), Neural Networks and Applications (9 papers) and stochastic dynamics and bifurcation (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (395 citations), Signal Processing (164 citations), Cognitive Neuroscience (274 citations), Mathematical Physics (121 citations) and Numerical Analysis (65 citations). V. Protopopescu has collaborated with scholars based in United States, France and Romania. Frequent co-authors include L.M. Hively, Jianbo Gao, Yinping Cao, Wen‐wen Tung, J. Barhen, David B. Reister, Auroop R. Ganguly, Paul C. Gailey, Richard Beals and Suzanne Lenhart. Their work appears in journals such as Mathematical Methods in the Applied Sciences, Physica A Statistical Mechanics and its Applications, Physical review. C, Chaos An Interdisciplinary Journal of Nonlinear Science and Physics Letters A.

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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