Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

RanKer: An AI-Based Employee-Performance Classification Scheme to Rank and Identify Low Performers

9 references·1 citing·42 second hop

FromToDepth

this work references cited by second hop

References

2020Predicting Employee Attrition Using Machine Learning Techniques280 cited
2016Prediction of Employee Turnover in Organizations using Machine Learning Algorithms243 cited
2020Stochastic Neural Networks for Cryptocurrency Price Prediction208 cited
2020Facial Sentiment Analysis Using AI Techniques: State-of-the-Art, Taxonomies, and Challenges157 cited
2018Predicting Employee Attrition using Machine Learning138 cited
2017Employee Attrition Analysis Using Predictive Techniques50 cited
2019Prediction of employee performance using machine learning techniques33 cited
2019Employee Performance Prediction using Naïve Bayes25 cited
2021Employee Turnover Prediction: The impact of employee event features on interpretable machine learning methods24 cited

Cited by

2025Employees’ perceptions of the fairness of AI-based performance prediction features20 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work