Sakshi Agarwal

46.8k citations
27 papers · 34.1k indexed · 1 hit paper · h-index 6

Sakshi Agarwal

25 papers receiving 32.8k citations

Hit Papers

A fast and elitist multiobjective genetic algorithm: NSGA-II34.0k200220262010201810.0k20.0k30.0k

Peers

Sakshi Agarwal
Comparison fields: 5 of 213
  • Computational Theory and Mathematics 10.7k
  • Industrial and Manufacturing Engineering 4.4k
  • Artificial Intelligence 9.6k
  • Statistics, Probability and Uncertainty 1.5k
  • Software 768
Replace Amrit Pratap with:
Amrit Pratap United States
Lothar Thiele Switzerland
Carlos A. Coello Coello Mexico
Eckart Zitzler Switzerland
Xin‐She Yang United Kingdom
David E. Goldberg United States
Qingfu Zhang China
R.C. Eberhart United States
James Kennedy United States
Yaochu Jin China
Sakshi Agarwal relative to Amrit Pratap United States Amrit Pratap's profile →
Citations per field
00.5×1.5×
Amrit Pratap · 1×
Citations per year

Countries citing papers authored by Sakshi Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Sakshi Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Sakshi Agarwal, 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 Sakshi Agarwal Line = papers co-authored together Sakshi Agarwal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20235
3 20222
4 20210
5 20211
6 20201
7 20201
8
A Positive Deviance Inquiry on Effective Communicative Practices of Rural Indian Women Entrepreneurs
20192
9 20191
10 20195
11 201815
12 20182
13 20180
14
Regularization and Learning an Ensemble of RNNs by Decorrelating Representations.
20171
15 20171
16 20176
17 20165
18 20154
19 201513
20
A fast and elitist multiobjective genetic algorithm: NSGA-IIbreakdown →
200233989

About Sakshi Agarwal

Sakshi Agarwal is a scholar working on Marketing, Business and International Management and Statistical and Nonlinear Physics, having authored 27 papers that have together received 34.1k indexed citations. Recurring topics across this work include Spam and Phishing Detection (4 papers), Complex Network Analysis Techniques (4 papers), Opinion Dynamics and Social Influence (4 papers), Consumer Behavior in Brand Consumption and Identification (3 papers), Consumer Retail Behavior Studies (3 papers), Insurance and Financial Risk Management (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Computational Theory and Mathematics (10.7k citations), Industrial and Manufacturing Engineering (4.4k citations) and Artificial Intelligence (9.6k citations). Sakshi Agarwal has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Kalyanmoy Deb, Amrit Pratap, Shikha Mehta, Sanmeet Kaur, Sunita Garhwal, Hiroyuki Iida, Mohd Nor Akmal Khalid, Praveen Malik, Mohit Yadav and Saurabh Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Evolutionary Computation and Information Processing & Management.

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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