Tinkle Chugh

2.2k citations
25 papers · 1.5k indexed · 2 hit papers · h-index 11

Impact in

Papers in

Tinkle Chugh

24 papers receiving 1.5k citations

Hit Papers

Data-Driven Evolutionary Optimization: An Overview and Case Studies 2018 · 457 citations
4572016202620192022100200300400

Peers

Tinkle Chugh
Comparison fields: 5 of 86
  • Computational Theory and Mathematics 1.1k
  • Artificial Intelligence 950
  • Management Science and Operations Research 335
  • Statistics, Probability and Uncertainty 103
  • Industrial and Manufacturing Engineering 101
Replace Karthik Sindhya with:
Karthik Sindhya Finland
Jussi Hakanen Finland
Fangqing Gu China
Mayank Kumar Goyal India
Dan Guo China
Md Asafuddoula Australia
Michael J. Sasena United States
Xiwen Cai China
Saúl Zapotecas–Martínez Mexico
Kangjia Qiao China
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 23 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 25 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 →
2018457
2
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization
Hit paper breakdown →
2016420
3 2017207
4 2019113
5 201699
6 201733
7 201622
8 202222
9 201422
10 201813
11 201913
12 20218
13 20228
14 20206
15 20196
16 20234
17 20194
18
Handling expensive multiobjective optimization problems with evolutionary algorithms
20173
19 20222
20 20222

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 Mechanical Engineering, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (20 papers), Metaheuristic Optimization Algorithms Research (10 papers), Optimal Experimental Design Methods (8 papers), Probabilistic and Robust Engineering Design (5 papers), Evolutionary Algorithms and Applications (4 papers), Advanced Control Systems Optimization (2 papers), Building Energy and Comfort Optimization (2 papers) and Process Optimization and Integration (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Artificial Intelligence (950 citations), Management Science and Operations Research (335 citations), Statistics, Probability and Uncertainty (103 citations) and Industrial and Manufacturing Engineering (101 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, Tapabrata Ray, Hemant Kumar Singh and Richard Allmendinger. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Materials and Manufacturing Processes, Evolutionary Computation, Journal of Hydrology and Engineering Applications of Artificial Intelligence.

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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