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이 학술지의 논문 검색
Dynamic Learning of Patient Response Types: An Application to Treating Chronic Diseases
Negoescu, Diana M.; Bimpikis, Kostas; Brandeau, Margaret L.; Iancu, Dan A. Institute for Operations Research and the Managements Sciences (INFORMS) 2018 p.3469-3488
Recover Overnight? Work Interruption and Worker Productivity
Cai, Xiqian; Gong, Jie; Lu, Yi; Zhong, Songfa Institute for Operations Research and the Managements Sciences (INFORMS) 2018 p.3489-3500
Gender Quotas, Competitions, and Peer Review: Experimental Evidence on the Backlash Against Women
Leibbrandt, Andreas; Wang, Liang Choon; Foo, Cordelia Institute for Operations Research and the Managements Sciences (INFORMS) 2018 p.3501-3516
Super Partes? Assessing the Effect of Judicial Independence on Entry
Conti, Raffaele; Valentini, Giovanni Institute for Operations Research and the Managements Sciences (INFORMS) 2018 p.3517-3535
The Competitive Dynamics of New DVD Releases
Mukherjee, Anirban; Kadiyali, Vrinda Institute for Operations Research and the Managements Sciences (INFORMS) 2018 p.3536-3553
Capacity Sharing Between Competitors
Guo, Liang; Wu, Xiaole Institute for Operations Research and the Managements Sciences (INFORMS) 2018 p.3554-3573
Competing by Restricting Choice: The Case of Matching Platforms
Halaburda, Hanna; Piskorski, Mikołaj Jan; Yildirim, Pinar Institute for Operations Research and the Managements Sciences (INFORMS) 2018 p.3574-3594
Omnichannel Service Operations with Online and Offline Self-Order Technologies
Gao, Fei; Su, Xuanming Institute for Operations Research and the Managements Sciences (INFORMS) 2018 p.3595-3608
Output Decisions and Price Matching: Theory and Experiment
Batsaikhan, Mongoljin; Tumennasan, Norovsambuu Institute for Operations Research and the Managements Sciences (INFORMS) 2018 p.3609-3624
Understanding Team Knowledge Production: The Interrelated Roles of Technology and Expertise
Teodoridis, Florenta Institute for Operations Research and the Managements Sciences (INFORMS) 2018 p.3625-3648
SJR(SCImago Journal Rank)는 스페인 Consejo Superior de Investigaciones Cintificas의 Felix de Moya 교수에 의해 개발된 것으로, '모든 인용은 동등하지 않다'는 전제를 기반으로 둔 학술지의 영향력 지수입니다.
구글의 Page Rank 알고리즘의 영향을 받아 전체 인용 네트워크에서 노드에 점수를 매기는 방식으로, 명성이 높은 저널에서의 인용은 고득점으로 평가되어 같은 인용이라도 보다 높게 평가 됩니다. 또한 저널의 주제분야, 질과 명성이 모두 직접 영향을 미치는 평가 지료라고 할 수 있습니다.
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