Shivani Agarwal

2.8k total citations
70 papers, 916 citations indexed

About

Shivani Agarwal is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Shivani Agarwal has authored 70 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 14 papers in Management Science and Operations Research and 8 papers in Economics and Econometrics. Recurrent topics in Shivani Agarwal's work include Machine Learning and Algorithms (21 papers), Imbalanced Data Classification Techniques (16 papers) and Machine Learning and Data Classification (10 papers). Shivani Agarwal is often cited by papers focused on Machine Learning and Algorithms (21 papers), Imbalanced Data Classification Techniques (16 papers) and Machine Learning and Data Classification (10 papers). Shivani Agarwal collaborates with scholars based in India, United States and Australia. Shivani Agarwal's co-authors include Harikrishna Narasimhan, Arun Rajkumar, Partha Niyogi, Dan Roth, Sariel Har-Peled, Thore Graepel, Ralf Herbrich, Shiladitya Sengupta, Harish G. Ramaswamy and Aditya Krishna Menon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Machine Learning.

In The Last Decade

Shivani Agarwal

60 papers receiving 884 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shivani Agarwal India	15	578	160	158	115	113	70	916
Grant Schoenebeck United States	13	517 0.9×	67 0.4×	143 0.9×	166 1.4×	231 2.0×	43	918
Dan Sommerfield United States	7	431 0.7×	158 1.0×	126 0.8×	72 0.6×	371 3.3×	8	1.1k
Isabel Valera Germany	14	613 1.1×	77 0.5×	73 0.5×	19 0.2×	73 0.6×	39	945
Hana Chockler Israel	11	429 0.7×	101 0.6×	60 0.4×	227 2.0×	151 1.3×	45	810
Stephen H. Bach United States	12	1.1k 2.0×	162 1.0×	138 0.9×	43 0.4×	203 1.8×	32	1.4k
Yuanzhi Li United States	14	397 0.7×	116 0.7×	42 0.3×	46 0.4×	81 0.7×	49	756
Richard D. Lawrence United States	18	677 1.2×	191 1.2×	97 0.6×	38 0.3×	334 3.0×	45	1.4k
Yun Shen China	15	382 0.7×	91 0.6×	68 0.4×	36 0.3×	173 1.5×	75	764
Soumyadip Ghosh United States	16	227 0.4×	39 0.2×	166 1.1×	80 0.7×	82 0.7×	75	914

Countries citing papers authored by Shivani Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Shivani Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivani Agarwal

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

Agarwal, Shivani, et al.. (2025). HDL-ACO hybrid deep learning and ant colony optimization for ocular optical coherence tomography image classification. Scientific Reports. 15(1). 5888–5888. 2 indexed citations

Agarwal, Shivani, et al.. (2024). The role of various forms of subjective well being with quality of work life in the aviation industry. SHILAP Revista de lepidopterología. 46. 353–386. 2 indexed citations

Agarwal, Arpit, et al.. (2021). Stochastic Dueling Bandits with Adversarial Corruption.. 217–248.

Zhang, Mingyuan, Jane Lee, & Shivani Agarwal. (2021). Learning from Noisy Labels with No Change to the Training Process. International Conference on Machine Learning. 12468–12478. 4 indexed citations

Agarwal, Shivani, et al.. (2021). Influence of demographics variables on students subjective well‐being. Journal of Public Affairs. 22(S1). 3 indexed citations

Agarwal, Shivani. (2020). Gender Differences in Quality of Work Life. RePEc: Research Papers in Economics. 10(4). 52–59.

Misra, Neeldhara, et al.. (2016). On the Computational Hardness of Manipulating Pairwise Voting Rules. Adaptive Agents and Multi-Agents Systems. 358–367. 2 indexed citations

Rajkumar, Arun, et al.. (2016). Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions. Neural Information Processing Systems. 29. 1253–1261. 4 indexed citations

Agarwal, Arpit & Shivani Agarwal. (2015). On Consistent Surrogate Risk Minimization and Property Elicitation. Conference on Learning Theory. 4–22. 3 indexed citations

10.

Narasimhan, Harikrishna, et al.. (2015). Bayes optimal feature selection for supervised learning with general performance measures. Uncertainty in Artificial Intelligence. 171–180. 1 indexed citations

11.

Narasimhan, Harikrishna, et al.. (2015). Consistent Multiclass Algorithms for Complex Performance Measures. International Conference on Machine Learning. 2398–2407. 11 indexed citations

12.

Agarwal, Shivani, et al.. (2014). Prediction of Secondary Structure of Protein Using Support Vector Machine. 1–4.

13.

Narasimhan, Harikrishna, et al.. (2014). On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures. Neural Information Processing Systems. 27. 1493–1501. 32 indexed citations

14.

Ramaswamy, Harish G., Shivani Agarwal, & Ambuj Tewari. (2013). Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses. Neural Information Processing Systems. 26. 1475–1483. 6 indexed citations

15.

Agarwal, Shivani. (2013). Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses. Conference on Learning Theory. 56(3). 338–353. 8 indexed citations

16.

Narasimhan, Harikrishna & Shivani Agarwal. (2013). A Structural SVM Based Approach for Optimizing Partial AUC. International Conference on Machine Learning. 33(2). 516–524. 37 indexed citations

17.

Rajkumar, Arun & Shivani Agarwal. (2012). A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 933–941. 46 indexed citations

18.

Agarwal, Shivani, et al.. (2005). Generalization Bounds for k-Partite Ranking. 4 indexed citations

19.

Agarwal, Shivani, Thore Graepel, Ralf Herbrich, Sariel Har-Peled, & Dan Roth. (2005). Generalization Bounds for the Area Under the ROC Curve. Journal of Machine Learning Research. 6(14). 393–425. 143 indexed citations

20.

Agarwal, Shivani, Sariel Har-Peled, & Dan Roth. (2005). A uniform convergence bound for the area under the ROC curve. International Conference on Artificial Intelligence and Statistics. 1–8. 4 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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