Shivam Agarwal

433 total citations
10 papers, 274 citations indexed

About

Shivam Agarwal is a scholar working on Management Science and Operations Research, Economics and Econometrics and Electrical and Electronic Engineering. According to data from OpenAlex, Shivam Agarwal has authored 10 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 6 papers in Economics and Econometrics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Shivam Agarwal's work include Stock Market Forecasting Methods (7 papers), Energy Load and Power Forecasting (4 papers) and Complex Systems and Time Series Analysis (4 papers). Shivam Agarwal is often cited by papers focused on Stock Market Forecasting Methods (7 papers), Energy Load and Power Forecasting (4 papers) and Complex Systems and Time Series Analysis (4 papers). Shivam Agarwal collaborates with scholars based in India, United States and Nepal. Shivam Agarwal's co-authors include Ramit Sawhney, Rajiv Ratn Shah, Arnav Wadhwa, Tyler Derr, Nidhi Agarwal, Sudheer Chava, Vivek Mittal, Vikram K. Nanda, Paolo Rosso and Alex Endert and has published in prestigious journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Shivam Agarwal

10 papers receiving 268 citations

Peers

Countries citing papers authored by Shivam Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Shivam Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivam Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Shivam Agarwal. A scholar is included among the top collaborators of Shivam 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 Shivam Agarwal. Shivam Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

#	Work	Indexed citations
1	DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information 2023 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), (unknown), Shivam Agarwal, (unknown), Ryan A. Rossi, Fan Du, Jane Hoffswell, Shunan Guo, Eunyee Koh, Alex Endert, Shamkant B. Navathe	2
2	Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models 2022 ·Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·Ramit Sawhney, Shivam Agarwal, Vivek Mittal, Paolo Rosso, Vikram K. Nanda, Sudheer Chava	3
3	FAST: Financial News and Tweet Based Time Aware Network for Stock Trading 2021 ·Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah	25
4	Quantitative Day Trading from Natural Language using Reinforcement Learning 2021 ·Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah	9
5	Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach 2021 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah	84
6	Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading 2021 ·Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah	22
7	Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations 2020 ·Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah	82
8	Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting 2020 ·Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah	37
9	An algorithm based low cost automated system for irrigation with soil moisture sensor 2017 ·Shivam Agarwal, Nidhi Agarwal	9
10	Evolutionary Algorithm for Solving Multi-Mode Resource Constrained Project Scheduling Problems through Deterministic Mode Selection 2013 ·International Journal of Computer Applications ·Shivam Agarwal, (unknown)	1

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.

Explore authors with similar magnitude of impact