Ankush Agarwal

442 total citations
20 papers, 284 citations indexed

About

Ankush Agarwal is a scholar working on Finance, Demography and Management Science and Operations Research. According to data from OpenAlex, Ankush Agarwal has authored 20 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Finance, 7 papers in Demography and 4 papers in Management Science and Operations Research. Recurrent topics in Ankush Agarwal's work include Insurance, Mortality, Demography, Risk Management (7 papers), Stochastic processes and financial applications (7 papers) and Global Health Care Issues (3 papers). Ankush Agarwal is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (7 papers), Stochastic processes and financial applications (7 papers) and Global Health Care Issues (3 papers). Ankush Agarwal collaborates with scholars based in United Kingdom, India and France. Ankush Agarwal's co-authors include Zhiheng Pei, Carlos W. Nossa, Peng Lee, Liying Yang, William Nelson, Stuart M. Brown, Eoin Brodie, Michael A. Poles, Zhida Jin and Todd Z. DeSantis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Technometrics.

In The Last Decade

Ankush Agarwal

17 papers receiving 279 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ankush Agarwal United Kingdom	6	144	102	37	30	22	20	284
Javier Sandoval Colombia	10	118 0.8×	46 0.5×	30 0.8×	97 3.2×	24 1.1×	30	367
Noelle I. Samia United States	7	28 0.2×	74 0.7×	20 0.5×	37 1.2×	3 0.1×	12	335
Hui Miao China	14	60 0.4×	48 0.5×	11 0.3×	93 3.1×	40 1.8×	57	616
Hildete Prisco Pinheiro Brazil	11	72 0.5×	47 0.5×	3 0.1×	82 2.7×	21 1.0×	26	316
Michal Gordon Israel	12	236 1.6×	23 0.2×	6 0.2×	214 7.1×	10 0.5×	33	517
G. Giorgetti Italy	9	45 0.3×	28 0.3×	3 0.1×	5 0.2×	13 0.6×	23	284
József Z. Farkas United Kingdom	13	29 0.2×	36 0.4×	6 0.2×	12 0.4×	5 0.2×	40	429
M. S. Binoj Kumar United States	6	243 1.7×	157 1.5×		29 1.0×	28 1.3×	12	340
Hinako Tamotsu Japan	8	164 1.1×	83 0.8×		55 1.8×	29 1.3×	17	292

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-authorship network of co-authors of Ankush Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Ankush Agarwal. A scholar is included among the top collaborators of Ankush Agarwal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ankush Agarwal. Ankush Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Agarwal, Ankush, Christian‐Oliver Ewald, & Yongjie Wang. (2025). Optimal income drawdown and investment with longevity basis risk. Scandinavian Actuarial Journal. 2025(7). 680–717.

2.

Agarwal, Ankush, et al.. (2024). HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. 13263–13282. 5 indexed citations

3.

Agarwal, Ankush, Christian‐Oliver Ewald, & Yongjie Wang. (2023). Hedging longevity risk in defined contribution pension schemes. Computational Management Science. 20(1). 3 indexed citations

4.

Agarwal, Ankush, et al.. (2023). Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models. Technometrics. 65(4). 553–563.

5.

Agarwal, Ankush & Stefano Pagliarani. (2020). A Fourier-based Picard-iteration approach for a class of McKean–Vlasov SDEs with Lévy jumps. Stochastics. 93(4). 592–624. 3 indexed citations

6.

Agarwal, Ankush, et al.. (2020). Branching diffusion representation of semi-linear elliptic PDEs and estimation using Monte Carlo method. Stochastic Processes and their Applications. 130(8). 5006–5036. 1 indexed citations

7.

Agarwal, Ankush, Christian‐Oliver Ewald, & Yongjie Wang. (2019). Hedging Longevity Risk in Defined Contribution Pension Schemes. SSRN Electronic Journal. 2 indexed citations

8.

Agarwal, Ankush, et al.. (2019). Numerical approximations of McKean anticipative backward stochastic differential equations arising in initial margin requirements. SHILAP Revista de lepidopterología. 65. 1–26. 5 indexed citations

9.

Agarwal, Ankush & Ronnie Sircar. (2018). Portfolio Benchmarking Under Drawdown Constraint and Stochastic Sharpe Ratio. SIAM Journal on Financial Mathematics. 9(2). 435–464. 5 indexed citations

10.

Agarwal, Ankush & Emmanuel Gobet. (2017). Finite variance unbiased estimation of stochastic differential equations. Winter Simulation Conference. 1950–1961. 4 indexed citations

11.

Agarwal, Ankush, Stefano De Marco, Emmanuel Gobet, & Gang Liu. (2017). Study of new rare event simulation schemes and their application to extreme scenario generation. Mathematics and Computers in Simulation. 143. 89–98. 2 indexed citations

12.

Agarwal, Ankush & Emmanuel Gobet. (2017). Finite variance unbiased estimation of stochastic differential equations. 2017 Winter Simulation Conference (WSC). 1950–1961. 6 indexed citations

13.

Agarwal, Ankush, Sandeep Juneja, & Ronnie Sircar. (2015). American options under stochastic volatility: control variates, maturity randomization & multiscale asymptotics. Quantitative Finance. 16(1). 17–30. 15 indexed citations

14.

Agarwal, Ankush & Sandeep Juneja. (2014). Nearest Neighbor Based Estimation Technique for Pricing Bermudan Options. International Game Theory Review. 17(1). 1540002–1540002. 2 indexed citations

15.

Agarwal, Ankush & Sandeep Juneja. (2013). Comparing optimal convergence rate of stochastic mesh and least squares method for bermudan option pricing. 2013 Winter Simulations Conference (WSC). 2. 701–712. 1 indexed citations

16.

Agarwal, Ankush, Santanu S. Dey, & Sandeep Juneja. (2013). Efficient Simulation of Large Deviation Events for Sums of Random Vectors Using Saddle-Point Representations. Journal of Applied Probability. 50(3). 703–720. 1 indexed citations

17.

Agarwal, Ankush, Santanu S. Dey, & Sandeep Juneja. (2013). Efficient Simulation of Large Deviation Events for Sums of Random Vectors Using Saddle-Point Representations. Journal of Applied Probability. 50(3). 703–720.

18.

Nossa, Carlos W., Ankush Agarwal, Zhida Jin, et al.. (2010). Diversity of 16S rRNA Genes within Individual Prokaryotic Genomes. Applied and Environmental Microbiology. 76(12). 3886–3897. 214 indexed citations

19.

Nossa, Carlos W., Ankush Agarwal, Zhida Jin, et al.. (2010). Diversity of 16S rRNA Genes within Individual Prokaryotic Genomes. Applied and Environmental Microbiology. 76(15). 5333–5333. 6 indexed citations

20.

Agarwal, Ankush, et al.. (2007). Cyclone Resistant Building Architecture. 9 indexed citations

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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