Shivani Agarwal

152 total papers · 2.8k total citations
69 papers, 911 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 69 papers receiving a total of 911 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, Ralf Herbrich, Sariel Har-Peled, Thore Graepel, Shiladitya Sengupta, Harish G. Ramaswamy and Sanjay Chawla and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Machine Learning.

In The Last Decade

Shivani Agarwal

58 papers receiving 877 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shivani Agarwal	577	160	158	115	112	69	911
David Maxwell Chickering	696 1.2×	99 0.6×	191 1.2×	79 0.7×	268 2.4×	35	1.1k
Irene Dı́az	262 0.5×	65 0.4×	259 1.6×	148 1.3×	101 0.9×	111	962
Shotaro Akaho	509 0.9×	203 1.3×	97 0.6×	58 0.5×	154 1.4×	100	975
Man Leung Wong	665 1.2×	81 0.5×	95 0.6×	157 1.4×	165 1.5×	45	993
Purnamrita Sarkar	536 0.9×	133 0.8×	72 0.5×	50 0.4×	91 0.8×	35	1.1k
Luis E. Zárate	327 0.6×	77 0.5×	216 1.4×	116 1.0×	156 1.4×	128	941
Fabio Stella	465 0.8×	49 0.3×	217 1.4×	44 0.4×	220 2.0×	72	977
Kun Kuang	812 1.4×	243 1.5×	48 0.3×	43 0.4×	188 1.7×	100	1.2k
Gregory Valiant	677 1.2×	82 0.5×	157 1.0×	166 1.4×	28 0.3×	55	1.1k
Christine M. O’Keefe	585 1.0×	47 0.3×	121 0.8×	95 0.8×	91 0.8×	89	987

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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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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