Anish Agarwal

517 total citations
14 papers, 190 citations indexed

About

Anish Agarwal is a scholar working on Management Science and Operations Research, Signal Processing and Applied Mathematics. According to data from OpenAlex, Anish Agarwal has authored 14 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Science and Operations Research, 5 papers in Signal Processing and 4 papers in Applied Mathematics. Recurrent topics in Anish Agarwal's work include Statistical and numerical algorithms (4 papers), Auction Theory and Applications (3 papers) and Time Series Analysis and Forecasting (3 papers). Anish Agarwal is often cited by papers focused on Statistical and numerical algorithms (4 papers), Auction Theory and Applications (3 papers) and Time Series Analysis and Forecasting (3 papers). Anish Agarwal collaborates with scholars based in United States, Australia and India. Anish Agarwal's co-authors include Munther A. Dahleh, Tuhin Sarkar, Adam Wierman, Desmond Cai, Siddharth Barman, Niangjun Chen, Devavrat Shah, Lachlan L. H. Andrew, Hritam Basak and Rohit Kundu and has published in prestigious journals such as Operations Research, Games and Economic Behavior and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Anish Agarwal

13 papers receiving 183 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anish Agarwal United States	6	70	66	44	38	32	14	190
Tuhin Sarkar United States	4	55 0.8×	66 1.0×	41 0.9×	21 0.6×	24 0.8×	8	164
Xueqing Wang China	4	140 2.0×	107 1.6×	18 0.4×	15 0.4×	31 1.0×	7	265
Yonatan Gur United States	7	202 2.9×	73 1.1×	22 0.5×	34 0.9×	54 1.7×	22	289
A. T. Akinwale Nigeria	9	52 0.7×	114 1.7×	114 2.6×	20 0.5×	63 2.0×	37	262
Nazeeh Ghatasheh Jordan	8	25 0.4×	118 1.8×	105 2.4×	20 0.5×	30 0.9×	16	271
Yukun Cheng China	8	71 1.0×	30 0.5×	62 1.4×	12 0.3×	68 2.1×	34	238
Y. Narahari India	8	91 1.3×	46 0.7×	66 1.5×	31 0.8×	71 2.2×	13	213
Kareem Amin United States	9	136 1.9×	126 1.9×	36 0.8×	9 0.2×	92 2.9×	21	262
Fadhl Hujainah Malaysia	10	38 0.5×	62 0.9×	190 4.3×	8 0.2×	61 1.9×	28	307
Peter Rob	4	45 0.6×	69 1.0×	92 2.1×	7 0.2×	83 2.6×	6	246

Countries citing papers authored by Anish Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Anish Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anish Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Anish Agarwal. A scholar is included among the top collaborators of Anish 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 Anish Agarwal. Anish 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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14 of 14 papers shown

1.

Agarwal, Anish, et al.. (2024). Towards data auctions with externalities. Games and Economic Behavior. 148. 323–356.

2.

Agarwal, Anish, et al.. (2023). Towards Data Auctions with Externalities. SSRN Electronic Journal. 1 indexed citations

3.

An, Sensong, Bowen Zheng, Mikhail Y. Shalaginov, et al.. (2021). A Deep Learning Approach to Predict the Mutual Coupling Effect in Metasurfaces. 2583–2586. 1 indexed citations

4.

Agarwal, Anish, et al.. (2020). On Multivariate Singular Spectrum Analysis.. 1 indexed citations

5.

Basak, Hritam, et al.. (2020). Single Image Super-Resolution using Residual Channel Attention Network. 219–224. 11 indexed citations

6.

Cai, Desmond, Anish Agarwal, & Adam Wierman. (2020). On the Inefficiency of Forward Markets in Leader–Follower Competition. Operations Research. 68(1). 35–52. 5 indexed citations

7.

Agarwal, Anish, et al.. (2019). Model Agnostic High-Dimensional Error-in-Variable Regression.. arXiv (Cornell University). 1 indexed citations

8.

Agarwal, Anish, et al.. (2019). Model Agnostic Time Series Analysis via Matrix Estimation. ACM SIGMETRICS Performance Evaluation Review. 47(1). 85–86. 2 indexed citations

9.

Agarwal, Anish, Munther A. Dahleh, & Tuhin Sarkar. (2019). A Marketplace for Data. 701–726. 123 indexed citations

10.

Agarwal, Anish, et al.. (2018). Time Series Analysis via Matrix Estimation.. arXiv (Cornell University). 1 indexed citations

11.

Agarwal, Anish, et al.. (2018). Model Agnostic Time Series Analysis via Matrix Estimation. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 2(3). 1–39. 11 indexed citations

12.

Agarwal, Anish, et al.. (2015). A model for residential adoption of photovoltaic systems. CaltechTHESIS (California Institute of Technology). 1–5. 6 indexed citations

13.

Agarwal, Anish, et al.. (2015). A model for residential adoption of photovoltaic systems. 1–5. 5 indexed citations

14.

Chen, Niangjun, Anish Agarwal, Adam Wierman, Siddharth Barman, & Lachlan L. H. Andrew. (2015). Online Convex Optimization Using Predictions. ACM SIGMETRICS Performance Evaluation Review. 43(1). 191–204. 22 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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