Divya Singhvi
Impact in
- Transportation top 10%
- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Human Mobility and Location-Based Analysis
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Supply Chain and Inventory Management 10
-
- Advanced Bandit Algorithms Research 4
- Auction Theory and Applications 3
- Innovation Diffusion and Forecasting 2
- Co-authors
- Georgia Perakis (14 shared papers)Igor Levin (2 shared papers)Omar Skali Lami (7 shared papers)Leann Thayaparan (4 shared papers)Pavithra Harsha (4 shared papers)Peter I. Frazier (1 shared paper)David B. Shmoys (1 shared paper)Eoin O’Mahony (1 shared paper)
- Journals
- Manufacturing & Service Operations Management (5 papers)Operations Research (2 papers)Production and Operations Management (2 papers)Mathematical Programming (1 paper)SSRN Electronic Journal (9 papers)
- Partner nations
- United States
In The Last Decade
Divya Singhvi
18 papers receiving 177 citations
Peers
Comparison fields: 5 of 54
- Transportation 40
- Modeling and Simulation 24
- Management Science and Operations Research 57
- Marketing 36
- Management Information Systems 27
Countries citing papers authored by Divya Singhvi
This map shows the geographic impact of Divya Singhvi'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 Divya Singhvi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Singhvi more than expected).
Fields of papers citing papers by Divya Singhvi
This network shows the impact of papers produced by Divya Singhvi. 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 Divya Singhvi. The network helps show where Divya Singhvi may publish in the future.
Co-authors
The 19 scholars most cited alongside Divya Singhvi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Predicting Bike Usage for New York City's Bike Sharing System | 2015 | 42 |
| 2 | 2018 | 26 | |
| 3 | 2022 | 23 | |
| 4 | 2021 | 18 | |
| 5 | 2017 | 16 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 11 | |
| 8 | 2018 | 6 | |
| 9 | 2021 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2019 | 0 | |
| 20 | 2025 | 0 |
About Divya Singhvi
Divya Singhvi is a scholar working on Management Information Systems, Management Science and Operations Research, Marketing, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 20 papers that have together received 180 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (10 papers), Consumer Market Behavior and Pricing (6 papers), Scheduling and Optimization Algorithms (4 papers), Advanced Bandit Algorithms Research (4 papers), COVID-19 epidemiological studies (3 papers), Auction Theory and Applications (3 papers), COVID-19 diagnosis using AI (3 papers) and Innovation Diffusion and Forecasting (2 papers). The work is most often cited by research in Transportation (40 citations), Modeling and Simulation (24 citations), Management Science and Operations Research (57 citations), Marketing (36 citations) and Management Information Systems (27 citations). Divya Singhvi has collaborated with scholars based in United States. Frequent co-authors include Georgia Perakis, Igor Levin, Omar Skali Lami, Leann Thayaparan, Pavithra Harsha, Peter I. Frazier, David B. Shmoys, Eoin O’Mahony, Shane G. Henderson and Hamsa Bastani. Their work appears in journals such as Manufacturing & Service Operations Management, Operations Research, Production and Operations Management, Mathematical Programming and SSRN Electronic Journal.
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.