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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:

Rating players in test match cricket
Sohail Akhtar, Philip Scarf, Zahid Rasool
Journal of the Operational Research Society (2014) Vol. 66, Iss. 4, pp. 684-695
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Operational Research: methods and applications
Fotios Petropoulos, Gilbert Laporte, Emel Aktaş, et al.
Journal of the Operational Research Society (2023) Vol. 75, Iss. 3, pp. 423-617
Open Access | Times Cited: 30
Modelling test matches outcome using Bradley Terry model
Sohail Akhtar, Shahzaib Rafiq, Muhammad Awais, et al.
Boletim da Sociedade Paranaense de Matemática (2025) Vol. 43
Open Access
A novel comparative study of NNAR approach with linear stochastic time series models in predicting tennis player's performance
Abdullah M. Almarashi, Muhammad Daniyal, Farrukh Jamal
BMC Sports Science Medicine and Rehabilitation (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 4
Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach
Praveen Puram, Soumya Roy, Deepak Srivastav, et al.
Annals of Operations Research (2022) Vol. 325, Iss. 1, pp. 261-288
Closed Access | Times Cited: 11
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
Using Bradley–Terry models to analyse test match cricket
Neil Dewart, Jonathan Gillard
IMA Journal of Management Mathematics (2017)
Open Access | Times Cited: 10
Novel method for ranking batsmen in Indian Premier League
Manisha Manju, Abin Oommen Philip
Data Science and Management (2023) Vol. 6, Iss. 3, pp. 158-173
Open Access | Times Cited: 3
Research Directions in Cricket
Tim B. Swartz
(2016), pp. 461-476
Closed Access | Times Cited: 7
When to declare the third innings of a test cricket match?
Gaurav Deval, Faiz Hamid, Mayank Goel
Annals of Operations Research (2021) Vol. 303, Iss. 1-2, pp. 81-99
Closed Access | Times Cited: 7
Region-wise Ranking of Sports Players based on Link Fusion
Ali Daud, Akbar Hussain, Rabeeh Ayaz Abbasi, et al.
(2018)
Open Access | Times Cited: 6
Assessing the skill of football players using statistical methods
Łukasz Szczepański
(2015)
Closed Access | Times Cited: 5
Forecasting Tennis Match Results Using the Bradley-Terry Model
Aisha Fayomi, Rizwana Majeed, Ali Algarni, et al.
International Journal of Photoenergy (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 4
Innovating a Centuries-Old Sport: How Emerging Data Analytics Tools Are Redefining Cricket
Kavya M. Shah, Ammaar Ahmed Saeed
Harvard data science review (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 2
Player Rating Correlation Prediction Using Machine Learning
K Shrilakshmi, Soumyalatha Naveen, U. M. Ashwinkumar
2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) (2021), pp. 1-5
Closed Access | Times Cited: 5
To attract viewers based on batting strike rate: an analysis of men’s international Twenty20 cricket
RK Renin Singh, Subrat Sarangi
Sport Business and Management An International Journal (2024) Vol. 14, Iss. 3, pp. 425-442
Closed Access
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
An OWA-Based Feature Extraction and Ranking for Performance Evaluation of the Players in Cricket
Khalid Anwar, Aasim Zafar, Arshad Iqbal, et al.
Lecture notes on data engineering and communications technologies (2022), pp. 169-179
Closed Access | Times Cited: 3
Roster-Based Optimisation for Limited Overs Cricket
Ankit Patel
(2016)
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
V Score —A Data Analytical Versatility Metric For Cricket
Sreedhar Radhakrishnan, Chittaranjan Velambur, Kavi Mahesh
(2018), pp. 1569-1573
Closed Access | Times Cited: 2
Evaluation of Bowler’s Performance in Cricket Using Fuzzy Logic
Abhinav Kathuria
International Journal of Research (2016) Vol. 3, Iss. 01, pp. 55-59
Closed Access | Times Cited: 1
CRICTRS: Embeddings based Statistical and Semi Supervised Cricket Team Recommendation System
Prazwal Chhabra, Rizwan Ali, Vikram Pudi
(2020), pp. 67-77
Open Access | Times Cited: 1
A Novel Framework for Constructing Sport-Based Rating Systems
Ankit Patel
(2020)
Open Access | Times Cited: 1
Rating Batters in Test Cricket
Sohail Akhtar, Muhammad Awais, Ibrar Hussain, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 1
Impact of a Batter in ODI Cricket Implementing Regression Models from Match Commentary
Ahmad Al Asad, Kazi Nishat Anwar, Ilhum Zia Chowdhury, et al.
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2022), pp. 1-6
Open Access | Times Cited: 1
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