Tinkle Chugh

2.3k citations
37 papers · 1.8k · 2 hit papers · h-index 15

Impact in

Papers in

Tinkle Chugh

34 papers receiving 1.8k citations

Tinkle Chugh's Hit Papers

Data-Driven Evolutionary Optimization: An Overview and Case Studies 2018 · 510 citations
5100+3+6Years since publication100200300400500

Peers

Tinkle Chugh
Comparison fields: 5 of 90
  • Computational Theory and Mathematics 1.3k
  • Artificial Intelligence 1.1k
  • Management Science and Operations Research 411
  • Statistics, Probability and Uncertainty 144
  • Industrial and Manufacturing Engineering 121
Replace Karthik Sindhya with:
Karthik Sindhya Finland
Tobias Wagner Germany
Jussi Hakanen Finland
Gregorio Toscano‐Pulido Mexico
Fangqing Gu China
Mayank Kumar Goyal India
Tatsuya Okabe Germany
Dirk Gorissen Belgium
Mahdi Azizi Iran
Tinkle Chugh relative to Karthik Sindhya Finland Karthik Sindhya's profile →
Citations per field
00.5×1.5×
Karthik Sindhya · 1×
Citations per year

Countries citing papers authored by Tinkle Chugh

Since Specialization
Citations

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

Fields of papers citing papers by Tinkle Chugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data-Driven Evolutionary Optimization: An Overview and Case Studies
Hit paper breakdown →
2018510
2
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization
Hit paper breakdown →
2016460
3 2017232
4 2019126
5 2016109
6 201736
7 201631
8 201630
9 201927
10 201425
11 201523
12 202222
13 201921
14 201820
15 202116
16 201912
17 202211
18 20199
19 20206
20 20206

About Tinkle Chugh

Tinkle Chugh is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (31 papers), Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (10 papers), Optimal Experimental Design Methods (10 papers), Probabilistic and Robust Engineering Design (9 papers), Advanced Control Systems Optimization (3 papers), Process Optimization and Integration (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Artificial Intelligence (1.1k citations), Management Science and Operations Research (411 citations), Statistics, Probability and Uncertainty (144 citations) and Industrial and Manufacturing Engineering (121 citations). Tinkle Chugh has collaborated with scholars based in United Kingdom, Finland and India. Frequent co-authors include Kaisa Miettinen, Yaochu Jin, Karthik Sindhya, Jussi Hakanen, Handing Wang, Dan Guo, Nirupam Chakraborti, Hemant Kumar Singh, Tapabrata Ray and Richard Allmendinger. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Materials and Manufacturing Processes, Mechanical Systems and Signal Processing, Evolutionary Computation and Journal of Hydrology.

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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