Kaitlin Daniels

965 total citations · 1 hit paper
10 papers, 715 citations indexed

About

Kaitlin Daniels is a scholar working on Automotive Engineering, Strategy and Management and Sociology and Political Science. According to data from OpenAlex, Kaitlin Daniels has authored 10 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Automotive Engineering, 4 papers in Strategy and Management and 3 papers in Sociology and Political Science. Recurrent topics in Kaitlin Daniels's work include Transportation and Mobility Innovations (5 papers), Digital Platforms and Economics (4 papers) and Supply Chain and Inventory Management (2 papers). Kaitlin Daniels is often cited by papers focused on Transportation and Mobility Innovations (5 papers), Digital Platforms and Economics (4 papers) and Supply Chain and Inventory Management (2 papers). Kaitlin Daniels collaborates with scholars based in United States and United Kingdom. Kaitlin Daniels's co-authors include Ruben Lobel, Gérard P. Cachon, León Valdés, Michal Grinstein‐Weiss, Danko Turcic, Hemant K. Bhargava, Adithya Pattabhiramaiah, Timothy Derdenger, Geoffrey Parker and Olivier Rubel and has published in prestigious journals such as Production and Operations Management, Manufacturing & Service Operations Management and Marketing Letters.

In The Last Decade

Kaitlin Daniels

10 papers receiving 696 citations

Hit Papers

The Role of Surge Pricing on a Service Platform with Self... 2017 2026 2020 2023 2017 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity
    2017 560 citations Gérard P. Cachon, Kaitlin Daniels et al. Manufacturing & Service Operations Management profile →

Peers

Kaitlin Daniels
Xiaogang Lin China
Ioannis Bellos United States
Mikko Punakivi Finland
Arianna Seghezzi Italy
Luoyi Sun China
Giovanni Zenezini Italy
Tho V. Le United States
Benedikt M. Brand Germany
Pnina Feldman United States
Aymeric Punel United States
Xiaogang Lin China
Kaitlin Daniels
Citations per year, relative to Kaitlin Daniels Kaitlin Daniels (= 1×) peers Xiaogang Lin

Countries citing papers authored by Kaitlin Daniels

Since Specialization
Citations

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

Fields of papers citing papers by Kaitlin Daniels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaitlin Daniels

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

All Works

10 of 10 papers shown
1.
Daniels, Kaitlin & Danko Turcic. (2023). Congestion in the Age of Uber: Medallion Management and Taxi Hailing Technology. SSRN Electronic Journal. 1 indexed citations
2.
Daniels, Kaitlin & León Valdés. (2021). Trying and Failing: Biases in Donor Aversion to Rejection. Production and Operations Management. 30(12). 4356–4373. 10 indexed citations
3.
Daniels, Kaitlin & Danko Turcic. (2021). Matching Technology and Competition in Ride-hailing Marketplaces. SSRN Electronic Journal. 6 indexed citations
4.
Daniels, Kaitlin & León Valdés. (2020). Trying and Failing: Biases in Donor Aversion to Rejection. SSRN Electronic Journal. 1 indexed citations
5.
Bhargava, Hemant K., Olivier Rubel, Elizabeth J. Altman, et al.. (2020). Platform data strategy. Marketing Letters. 31(4). 323–334. 11 indexed citations
6.
Bhargava, Hemant K., Olivier Rubel, Elizabeth J. Altman, et al.. (2019). Data Policy and Choices in Platforms. SSRN Electronic Journal. 1 indexed citations
7.
Daniels, Kaitlin & Michal Grinstein‐Weiss. (2018). The Impact of the Gig-Economy on Financial Hardship Among Low-Income Families. SSRN Electronic Journal. 11 indexed citations
8.
Cachon, Gérard P., Kaitlin Daniels, & Ruben Lobel. (2017). The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity. Manufacturing & Service Operations Management. 19(3). 368–384. 560 indexed citations breakdown →
9.
Cachon, Gérard P., Kaitlin Daniels, & Ruben Lobel. (2015). The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity. SSRN Electronic Journal. 110 indexed citations
10.
Daniels, Kaitlin & Ruben Lobel. (2014). Demand Response in Electricity Markets: Voluntary and Automated Curtailment Contracts. SSRN Electronic Journal. 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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2026