Ankush Agarwal

460 citations
24 papers · 303 · h-index 6

Impact in

  • Finance top 10%
    • Stochastic processes and financial applications
    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions
    • Environmental DNA in Biodiversity Studies

Papers in

    • Stochastic processes and financial applications 8
    • Capital Investment and Risk Analysis 3
    • Credit Risk and Financial Regulations 2
    • Insurance, Mortality, Demography, Risk Management 8

Ankush Agarwal

19 papers receiving 296 citations

Peers

Ankush Agarwal
Comparison fields: 5 of 85
  • Finance 40
  • Ecology 97
  • Microbiology 2
  • Periodontics 10
  • Endocrinology 12
Replace Hui Miao with:
Hui Miao China
Nicolas Fournier France
Stefan Hoffman Belgium
Hai Jiang China
Baoliang Xu China
Judith Wilson Canada
József Z. Farkas United Kingdom
Hinako Tamotsu Japan
Abhishek Kaul United States
Ankush Agarwal relative to Hui Miao China Hui Miao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ankush Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Ankush Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ankush 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 Ankush Agarwal Line = papers co-authored together Ankush Agarwal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010221
2 201516
3
Cyclone Resistant Building Architecture
200711
4 20247
5 20107
6 20176
7 20195
8 20185
9 20234
10 20174
11 20204
12 20172
13 20192
14 20142
15
COMPARING OPTIMAL CONVERGENCE RATE OF STOCHASTIC MESH AND LEAST SQUARES METHOD FOR BERMUDAN OPTION PRICING
20152
16 20131
17 20131
18 20231
19 20201
20 20241

About Ankush Agarwal

Ankush Agarwal is a scholar working on Finance, Demography, Management Science and Operations Research, Economics and Econometrics and General Health Professions, having authored 24 papers that have together received 303 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (8 papers), Insurance, Mortality, Demography, Risk Management (8 papers), Capital Investment and Risk Analysis (3 papers), Probability and Risk Models (3 papers), Global Health Care Issues (3 papers), Statistical Distribution Estimation and Applications (2 papers), Credit Risk and Financial Regulations (2 papers) and Financial Literacy, Pension, Retirement Analysis (2 papers). The work is most often cited by research in Finance (40 citations), Ecology (97 citations), Microbiology (2 citations), Periodontics (10 citations) and Endocrinology (12 citations). Ankush Agarwal has collaborated with scholars based in United Kingdom, India and France. Frequent co-authors include Zhiheng Pei, Todd Z. DeSantis, Peng Lee, Carlos W. Nossa, Michael A. Poles, Zhida Jin, Liying Yang, Eoin Brodie, Stuart M. Brown and Ronnie Sircar. Their work appears in journals such as Quantitative Finance, Applied and Environmental Microbiology, Journal of Applied Probability, Technometrics and Stochastics.

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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