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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Simulator for Twenty20 Cricket
Jack Davis, Harsha Perera, Tim B. Swartz
Australian & New Zealand Journal of Statistics (2015) Vol. 57, Iss. 1, pp. 55-71
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Optimal lineups in Twenty20 cricket
Harsha Perera, Jack Davis, Tim B. Swartz
Journal of Statistical Computation and Simulation (2016) Vol. 86, Iss. 14, pp. 2888-2900
Open Access | Times Cited: 29
Player evaluation in Twenty20 cricket
Jack Davis, Harsha Perera, Tim B. Swartz
Journal of Sports Analytics (2015) Vol. 1, Iss. 1, pp. 19-31
Open Access | Times Cited: 24
A new in-form and role-based Deep Player Performance Index for player evaluation in T20 Cricket
C. Deep Prakash, Sanjay Verma
Decision Analytics Journal (2022) Vol. 2, pp. 100025-100025
Open Access | Times Cited: 12
Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms
M.K.A. Ariyaratne, R.M. Silva
International Journal of Computer Science in Sport (2022) Vol. 21, Iss. 1, pp. 49-92
Open Access | Times Cited: 11
Bayesian survival analysis of batsmen in Test cricket
Oliver G. Stevenson, Brendon J. Brewer
Journal of Quantitative Analysis in Sports (2017) Vol. 13, Iss. 1
Open Access | Times Cited: 19
Assessing the impact of fielding in Twenty20 cricket
Harsha Perera, Jack Davis, Tim B. Swartz
Journal of the Operational Research Society (2017) Vol. 69, Iss. 8, pp. 1335-1343
Closed Access | Times Cited: 15
Evolution-Based Performance Prediction of Star Cricketers
Haseeb Ahmad, Shahbaz Ahmad, Muhammad Asif, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 69, Iss. 1, pp. 1215-1232
Open Access | Times Cited: 12
Winning one-day international cricket matches: a cross-team perspective
Subrat Sarangi, RK Renin Singh
Journal of Business Analytics (2022) Vol. 6, Iss. 1, pp. 39-58
Closed Access | Times Cited: 8
Data Analytics in the Game of Cricket: A Novel Paradigm
Varad Vishwarupe, Mangesh Bedekar, Prachi M. Joshi, et al.
Procedia Computer Science (2022) Vol. 204, pp. 937-944
Open Access | Times Cited: 8
Analysis of performance in English women’s domestic Twenty20 cricket
Georgia Haworth, Stuart Mills
International Journal of Performance Analysis in Sport (2024), pp. 1-18
Open Access | Times Cited: 1
Using Bradley–Terry models to analyse test match cricket
Neil Dewart, Jonathan Gillard
IMA Journal of Management Mathematics (2017)
Open Access | Times Cited: 10
Quantifying team precedence in the game of cricket
Haseeb Ahmad, Ali Daud, Licheng Wang, et al.
Cluster Computing (2017) Vol. 21, Iss. 1, pp. 523-537
Closed Access | Times Cited: 8
Research Directions in Cricket
Tim B. Swartz
(2016), pp. 461-476
Closed Access | Times Cited: 7
Setting final target score in T-20 cricket match by the team batting first
Durga Prasad Venkata Modekurti
Journal of Sports Analytics (2020) Vol. 6, Iss. 3, pp. 205-213
Closed Access | Times Cited: 7
A Novel Regression based Technique for Batsman Evaluation in the Indian Premier League
Arnab Santra, Abhirup Sinha, Pritilata Saha, et al.
(2020), pp. 379-384
Closed Access | Times Cited: 7
Prediction of Most Valuable Bowlers of Indian Premier League (IPL)
Arnab Santra, Aniket Mitra, Abhirup Sinha, et al.
Advances in intelligent systems and computing (2020), pp. 211-223
Closed Access | Times Cited: 6
Modelling Career Trajectories of Cricket Players Using Gaussian Processes
Oliver G. Stevenson, Brendon J. Brewer
Springer proceedings in mathematics & statistics (2019), pp. 165-173
Closed Access | Times Cited: 5
Novel Performance Metrics to Evaluate the Duel Between a Batsman and a Bowler
Yamini Nekkanti, Dibyojyoti Bhattacharjee
Management and Labour Studies (2020) Vol. 45, Iss. 2, pp. 201-211
Closed Access | Times Cited: 4
Player-aware resource compensation in interrupted cricket matches
Salam Zia, Hannan Bin Liaqat, Hafiz Usman Zia, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e917-e917
Open Access | Times Cited: 3
The Winning Edge: Dominating the Game with a Hybrid Content-Based Cricket Scenario Recommender System
Sanath N. Bhargav, Samarth Rajendra, C. B. Sankalp, et al.
Lecture notes in networks and systems (2024), pp. 515-528
Closed Access
Modified Hedonic Based Price Prediction Model for Players in IPL Auction
Nayan Ranjan Das, Ratna Priya, Imon Mukherjee, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2021) Vol. 116, pp. 1-7
Closed Access | Times Cited: 4
Tactics for Twenty20 cricket
Rajitha M. Silva, Harsha Perera, Jack Davis, et al.
South African Statistical Journal (2016) Vol. 50, Iss. 02
Open Access | Times Cited: 2
Cricket Player Analytics using DAX
S Pavan Kumar, P Mannohar Sai, R Sai Murali Krishnam Naidu, et al.
International Journal of Advanced Research in Science Communication and Technology (2023), pp. 338-342
Open Access | Times Cited: 1
A truncated mean-parameterized Conway-Maxwell-Poisson model for the analysis of Test match bowlers
Pete Philipson
Statistical Modelling (2023) Vol. 24, Iss. 5, pp. 480-495
Open Access | Times Cited: 1
Finding Your Feet: A Gaussian Process Model for Estimating the Abilities of Batsmen in Test Cricket
Oliver G. Stevenson, Brendon J. Brewer
Journal of the Royal Statistical Society Series C (Applied Statistics) (2021) Vol. 70, Iss. 2, pp. 481-506
Open Access | Times Cited: 3
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