Default: Management Science

ISSN: 0025-1909

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Management Science Q1 Unclaimed

INFORMS Institute for Operations Research and the Management Sciences United States
Unfortunately this journal has not been claimed yet. For this reason, some information may be unavailable.

Management Science is a journal indexed in SJR in Strategy and Management and Management Science and Operations Research with an H index of 255. It has an SJR impact factor of 4,954 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 4,954.

Management Science focuses its scope in these topics and keywords: decision, evidence, empirical, making, scheduling, based, door, districtingmarket, directors, development, ...

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy:

Type of publications:

Publication frecuency: -

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

Management Science

4,954

SJR Impact factor

255

H Index

300

Total Docs (Last Year)

864

Total Docs (3 years)

15009

Total Refs

4897

Total Cites (3 years)

856

Citable Docs (3 years)

5,04

Cites/Doc (2 years)

50,03

Ref/Doc

Aims and Scope


decision, evidence, empirical, making, scheduling, based, door, districtingmarket, directors, development, equity, estimation, experimenta, firm, fixed, flows, flowshidden, forecastsrisk, design, cycledo, crowdfundingan, benefits, breakthroughs, business, capital, cash, applicationslone, computersupported, consumers, consumption, context, corporate, costs, crosscountry,



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March Madness and the Office Pool

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Introduction to the Special Issue on Design and Development

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On Continuous-Time Optimal Advertising Under S-Shaped Response

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Revenue Sharing and Information Leakage in a Supply Chain

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Editorial Objectives Interdisciplinary Management Research and Applications

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Editorial Objectives Supply Chain Management

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How Communication Links Influence Coalition Bargaining: A Laboratory Investigation

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A Discrete-Time Approach to Arbitrage-Free Pricing of Credit Derivatives

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Timber Harvesting as a Part of the Portfolio Management: A Multiperiod Stochastic Optimisation Approach

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On Maximizing the Net Present Value of a Project Under Renewable Resource Constraints

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