P. Vyas

411 citations
15 papers · 255 · h-index 7

Impact in

Papers in

P. Vyas

14 papers receiving 234 citations

Peers

P. Vyas
Comparison fields: 5 of 21
  • Nuclear and High Energy Physics 245
  • Aerospace Engineering 78
  • Biomedical Engineering 125
  • Astronomy and Astrophysics 45
  • Control and Systems Engineering 40
Replace A. Pironti with:
A. Pironti Italy
E. Maljaars Netherlands
S. Fairfax United States
Justin Barton United States
Hoang Le Canada
S.H. Kim France
Q. King Switzerland
G. Artaserse Italy
T.C. Blanken Netherlands
T.T.C. Jones United Kingdom
P. Vyas relative to A. Pironti Italy A. Pironti's profile →
Citations per field
00.5×1.5×
A. Pironti · 1×
Citations per year

Countries citing papers authored by P. Vyas

Since Specialization
Citations

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

Fields of papers citing papers by P. Vyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside P. Vyas, 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 P. Vyas Line = papers co-authored together P. Vyas links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 199960
2 199942
3 199742
4 200235
5 199826
6 199924
7 200013
8 20024
9 19983
10 20022
11
An H-infinity system identification algorithm applied to tokamak modelling
19981
12
The Separatrix response of diverted TCV plasmas compared to the CREATE-L model
19971
13
Stability margins of elongated plasmas in TCV and implications for ITER
19991
14
Direct measurement of the plasma equilibrium response to poloidal field changes and H? controller tests in TCV
19991
15 20020

About P. Vyas

P. Vyas is a scholar working on Nuclear and High Energy Physics, Control and Systems Engineering, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Astronomy and Astrophysics, having authored 15 papers that have together received 255 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (11 papers), Power System Optimization and Stability (5 papers), Control Systems and Identification (3 papers), Model Reduction and Neural Networks (3 papers), Hydraulic and Pneumatic Systems (2 papers), Superconducting Materials and Applications (2 papers), Fault Detection and Control Systems (2 papers) and Ionosphere and magnetosphere dynamics (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (245 citations), Aerospace Engineering (78 citations), Biomedical Engineering (125 citations), Astronomy and Astrophysics (45 citations) and Control and Systems Engineering (40 citations). P. Vyas has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include J.B. Lister, F. Villone, R. Albanese, G. Ambrosino, A. Pironti, M. Ariola, D.J.N. Limebeer, A. W. Morris, B. Kouvaritakis and P.L. Mondino. Their work appears in journals such as Nuclear Fusion, IEEE Transactions on Control Systems Technology, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Fusion Technology.

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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