Yael Grushka‐Cockayne

1.4k total citations
42 papers, 870 citations indexed

About

Yael Grushka‐Cockayne is a scholar working on Management Science and Operations Research, General Decision Sciences and General Economics, Econometrics and Finance. According to data from OpenAlex, Yael Grushka‐Cockayne has authored 42 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Management Science and Operations Research, 10 papers in General Decision Sciences and 9 papers in General Economics, Econometrics and Finance. Recurrent topics in Yael Grushka‐Cockayne's work include Forecasting Techniques and Applications (18 papers), Decision-Making and Behavioral Economics (10 papers) and Air Traffic Management and Optimization (6 papers). Yael Grushka‐Cockayne is often cited by papers focused on Forecasting Techniques and Applications (18 papers), Decision-Making and Behavioral Economics (10 papers) and Air Traffic Management and Optimization (6 papers). Yael Grushka‐Cockayne collaborates with scholars based in United States, United Kingdom and Netherlands. Yael Grushka‐Cockayne's co-authors include Kenneth C. Lichtendahl, Victor Richmond R. Jose, Bert De Reyck, Robert L. Winkler, Martin Lockett, Zeger Degraeve, Phillip E. Pfeifer, Raul O. Chao, Daniel Read and Janne Kettunen and has published in prestigious journals such as Management Science, European Journal of Operational Research and Operations Research.

In The Last Decade

Yael Grushka‐Cockayne

39 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yael Grushka‐Cockayne United States 13 432 163 123 120 97 42 870
Phillip E. Pfeifer United States 22 305 0.7× 242 1.5× 368 3.0× 121 1.0× 97 1.0× 74 1.7k
Kenneth C. Lichtendahl United States 12 330 0.8× 65 0.4× 143 1.2× 33 0.3× 117 1.2× 34 635
Juuso Liesiö Finland 19 686 1.6× 155 1.0× 159 1.3× 92 0.8× 91 0.9× 41 1.1k
Mats Danielson Sweden 21 553 1.3× 75 0.5× 163 1.3× 110 0.9× 338 3.5× 116 1.4k
Simon French United Kingdom 11 403 0.9× 85 0.5× 110 0.9× 48 0.4× 273 2.8× 20 1.5k
Steven P. Schnaars United States 16 516 1.2× 70 0.4× 255 2.1× 308 2.6× 69 0.7× 35 1.2k
Donald L. Keefer United States 12 388 0.9× 70 0.4× 138 1.1× 49 0.4× 114 1.2× 31 812
Anil Gaba United States 12 213 0.5× 44 0.3× 143 1.2× 70 0.6× 72 0.7× 22 548
Love Ekenberg Sweden 21 601 1.4× 75 0.5× 165 1.3× 87 0.7× 433 4.5× 171 1.6k
James L. Corner New Zealand 13 340 0.8× 72 0.4× 113 0.9× 131 1.1× 146 1.5× 34 781

Countries citing papers authored by Yael Grushka‐Cockayne

Since Specialization
Citations

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

Fields of papers citing papers by Yael Grushka‐Cockayne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yael Grushka‐Cockayne. 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 Yael Grushka‐Cockayne. The network helps show where Yael Grushka‐Cockayne may publish in the future.

Co-authorship network of co-authors of Yael Grushka‐Cockayne

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

All Works

20 of 20 papers shown
1.
Freeman, R. Edward, et al.. (2025). A stakeholder theory perspective for project management. International Journal of Project Management. 43(7). 102764–102764.
2.
Petropoulos, Fotios, Yael Grushka‐Cockayne, Enno Siemsen, & Evangelos Spiliotis. (2024). Wielding Occam’s razor: Fast and frugal retail forecasting. Journal of the Operational Research Society. 76(8). 1564–1583. 3 indexed citations
3.
Lichtendahl, Kenneth C., et al.. (2022). Bayesian Ensembles of Exponentially Smoothed Life-Cycle Forecasts. SSRN Electronic Journal. 3 indexed citations
4.
Lichtendahl, Kenneth C., Yael Grushka‐Cockayne, Victor Richmond R. Jose, & Robert L. Winkler. (2022). Extremizing and Antiextremizing in Bayesian Ensembles of Binary-Event Forecasts. Operations Research. 70(5). 2998–3014. 7 indexed citations
5.
Grushka‐Cockayne, Yael, et al.. (2021). Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning. Manufacturing & Service Operations Management. 24(6). 3193–3214. 26 indexed citations
6.
Grushka‐Cockayne, Yael, et al.. (2020). A Heuristic for Combining Correlated Experts. SSRN Electronic Journal. 1 indexed citations
7.
Grushka‐Cockayne, Yael, et al.. (2020). London Heathrow Airport Uses Real-Time Analytics for Improving Operations. SSRN Electronic Journal. 1 indexed citations
8.
Winkler, Robert L., Yael Grushka‐Cockayne, Kenneth C. Lichtendahl, & Victor Richmond R. Jose. (2019). Probability Forecasts and Their Combination: A Research Perspective. Decision Analysis. 16(4). 239–260. 51 indexed citations
9.
Grushka‐Cockayne, Yael, et al.. (2018). Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning. SSRN Electronic Journal. 6 indexed citations
10.
Grushka‐Cockayne, Yael. (2017). New York City Department of Parks and Recreation. SSRN Electronic Journal. 4 indexed citations
11.
Reyck, Bert De, et al.. (2017). Vungle Inc. Improves Monetization Using Big Data Analytics. INFORMS Journal on Applied Analytics. 47(5). 454–466. 5 indexed citations
12.
Grushka‐Cockayne, Yael, et al.. (2015). A/B Testing at Vungle. 1–7.
13.
Kettunen, Janne, Yael Grushka‐Cockayne, Zeger Degraeve, & Bert De Reyck. (2015). New product development flexibility in a competitive environment. European Journal of Operational Research. 244(3). 892–904. 33 indexed citations
14.
Grushka‐Cockayne, Yael, Victor Richmond R. Jose, & Kenneth C. Lichtendahl. (2014). Ensembles of Overfit and Overconfident Forecasts. SSRN Electronic Journal. 9 indexed citations
15.
Lichtendahl, Kenneth C., Yael Grushka‐Cockayne, & Robert L. Winkler. (2013). Is It Better to Average Probabilities or Quantiles?. Management Science. 59(7). 1594–1611. 113 indexed citations
16.
Chao, Raul O., Kenneth C. Lichtendahl, & Yael Grushka‐Cockayne. (2013). Incentives in a Stage‐Gate Process. Production and Operations Management. 23(8). 1286–1298. 55 indexed citations
17.
Pfeifer, Phillip E., Yael Grushka‐Cockayne, & Kenneth C. Lichtendahl. (2013). The Promise of Prediction Contests. SSRN Electronic Journal.
18.
Lichtendahl, Kenneth C., Yael Grushka‐Cockayne, & Phillip E. Pfeifer. (2011). The Wisdom of Competitive Crowds. SSRN Electronic Journal. 2 indexed citations
19.
Grushka‐Cockayne, Yael & Bert De Reyck. (2009). Towards a Single European Sky. INFORMS Journal on Applied Analytics. 39(5). 400–414. 6 indexed citations
20.
Grushka‐Cockayne, Yael, Bert De Reyck, & Zeger Degraeve. (2008). An Integrated Decision-Making Approach for Improving European Air Traffic Management. Management Science. 54(8). 1395–1409. 39 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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