Wojciech Charemza , Michał Lewandowski , Łukasz Woźny
{"title":"On journal rankings and researchers' abilities","authors":"Wojciech Charemza , Michał Lewandowski , Łukasz Woźny","doi":"10.1016/j.joi.2024.101559","DOIUrl":null,"url":null,"abstract":"<div><p>Over the last few years, ranking lists of academic journals have become one of the key indicators for evaluating individual researchers, departments and universities. How to optimally design such rankings? What can we learn from commonly used journal ranking lists? To address these questions, we propose a simple, theoretical model of optimal rewards for publication in academic journals. Based on a principal-agent model with researchers' hidden abilities, we characterize the optimal journal reward system, where all available journals are assigned to one of several categories or ranks. We provide a tractable example that has a closed-form solution and allows numerical applications. Finally, we show how to calibrate the distribution of researchers' ability levels implied by the observed journal ranking schemes.</p></div>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1751157724000725/pdfft?md5=dfc68bbe1cad07ec0eb5314739451289&pid=1-s2.0-S1751157724000725-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751157724000725","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Over the last few years, ranking lists of academic journals have become one of the key indicators for evaluating individual researchers, departments and universities. How to optimally design such rankings? What can we learn from commonly used journal ranking lists? To address these questions, we propose a simple, theoretical model of optimal rewards for publication in academic journals. Based on a principal-agent model with researchers' hidden abilities, we characterize the optimal journal reward system, where all available journals are assigned to one of several categories or ranks. We provide a tractable example that has a closed-form solution and allows numerical applications. Finally, we show how to calibrate the distribution of researchers' ability levels implied by the observed journal ranking schemes.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
