Vikrant Bansal

659 citations
16 papers · 527 · h-index 8

Impact in

Papers in

Vikrant Bansal

14 papers receiving 502 citations

Peers

Vikrant Bansal
Comparison fields: 5 of 53
  • Control and Systems Engineering 473
  • Numerical Analysis 29
  • Statistics, Probability and Uncertainty 26
  • Computational Theory and Mathematics 44
  • Industrial and Manufacturing Engineering 26
Replace Vassilis Sakizlis with:
Vassilis Sakizlis United Kingdom
Juan M. Zamora United States
Jitendra V. Kadam Germany
Antônio Carlos Zanin Brazil
Rahul Bindlish United States
Tiago F. Finkler Germany
Taeshin Park South Korea
Morimasa Ogawa Japan
Matthew L. Tyler United States
Tor-Martin Tveit Finland
Vikrant Bansal relative to Vassilis Sakizlis United Kingdom Vassilis Sakizlis's profile →
Citations per field
00.5×2×3×4×
Vassilis Sakizlis · 1×
Citations per year

Countries citing papers authored by Vikrant Bansal

Since Specialization
Citations

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

Fields of papers citing papers by Vikrant Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Vikrant Bansal, 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 Vikrant Bansal Line = papers co-authored together Vikrant Bansal links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2003108
2 2002104
3 200094
4 200053
5 200250
6 200048
7 199828
8 199916
9 19988
10 20005
11 20015
12 20203
13 20022
14 20011
15 19981
16 20251

About Vikrant Bansal

Vikrant Bansal is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Modeling and Simulation, having authored 16 papers that have together received 527 indexed citations. Recurring topics across this work include Process Optimization and Integration (14 papers), Advanced Control Systems Optimization (11 papers), Probabilistic and Robust Engineering Design (4 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Fault Detection and Control Systems (2 papers), Advanced Data Compression Techniques (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Control and Systems Engineering (473 citations), Numerical Analysis (29 citations), Statistics, Probability and Uncertainty (26 citations), Computational Theory and Mathematics (44 citations) and Industrial and Manufacturing Engineering (26 citations). Vikrant Bansal has collaborated with scholars based in United Kingdom, Netherlands and Ireland. Frequent co-authors include John D. Perkins, Efstratios N. Pistikopoulos, Vassilis Sakizlis, Prabhat Kumar, Abhijeet Singh, Mukesh Kumar Sahu, E.N. Pistikopoulos, Ken R. Duffy, Muriel Médard and Rabia Tugce Yazicigil. Their work appears in journals such as Computers & Chemical Engineering, AIChE Journal, IEEE Transactions on Circuits and Systems I Regular Papers, Journal of Process Control and Industrial & Engineering Chemistry Research.

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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