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Naval Research Logistics
H-index 18

Naval Research Logistics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Business and Management 258 12 32 13
Mathematics 364 20 25 8
Engineering and Technology 606 39 60 14

Additional Metrics

Number of Best Scientists*: 71
Documents by Best Scientists*: 104
Top 100 Ranked Scientists*: 6
SCIMAGO H-index: 78
SCIMAGO SJR: 1.098
Impact Factor: 2.1

Overview

Top Research Topics at Naval Research Logistics?

The discussions in the journal mainly cover the fields of Mathematical optimization, Operations research, Naval research, Algorithm and Scheduling (computing). The study on Mathematical optimization presented is investigated in conjunction with research in Job shop scheduling. Naval Research Logistics addresses concerns in Operations research which are intertwined with other disciplines, such as Production (economics) and Scheduling (production processes), Operations management.

It served as a forum through which researchers explored different topics like Naval research and Microeconomics.

  • Mathematical optimization (39.28%)
  • Operations research (24.64%)
  • Naval research (17.12%)

What are the most cited papers published in the journal?

  • A survey of preventive maintenance models for stochastically deteriorating single-unit systems (675 citations)
  • The Orienteering Problem (551 citations)
  • A competitive genetic algorithm for resource-constrained project scheduling (466 citations)

Research areas of the most cited articles at Naval Research Logistics:

The most cited publications tackle a plethora of topics, such as Mathematical optimization, Operations research, Naval research, Algorithm and Scheduling (computing). Job shop scheduling and Tardiness are some topics wherein Mathematical optimization research discussed in the most cited articles has an impact. The most cited papers with studies in Operations research featured incorporate elements of Production (economics), Schedule and Order (business).

What topics the last edition of the journal is best known for?

  • Statistics
  • World War II
  • Law

The previous edition focused in particular on these issues:

Naval Research Logistics focuses on Mathematical optimization, Operations research, Supply chain, Industrial organization and Competition (economics). The studies in Mathematical optimization featured incorporate elements of Selection (genetic algorithm), Queueing theory and Linear approximation. Integer programming research presented in Naval Research Logistics encompasses a variety of subjects, including Appointment scheduling and Stochastic programming.

The most cited articles from the last journal are:

  • Optimal consumer sales tax policies for online-offline retail operations with consumer returns (10 citations)
  • Screening multi-dimensional heterogeneous populations for infectious diseases under scarce testing resources, with application to COVID-19 (4 citations)
  • Joint Inventory and Fulfillment Decisions for Omnichannel Retail Networks (4 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Naval Research Logistics (based on the number of publications) are:

  • T.C.E. Cheng (21 papers) absent at the last edition,
  • Chung Yee Lee (19 papers) absent at the last edition,
  • Ying-Ju Chen (19 papers) published 1 paper at the last edition, 5 less than at the previous edition,
  • David Simchi-Levi (16 papers) absent at the last edition,
  • Kevin D. Glazebrook (15 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Naval Research Logistics (based on the number of publications) are:

  • Hong Kong University of Science and Technology (67 papers) published 7 papers at the last edition the same number as at the previous edition,
  • Naval Postgraduate School (65 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Hong Kong Polytechnic University (54 papers) published 6 papers at the last edition, 1 more than at the previous edition,
  • Purdue University (46 papers) published 3 papers at the last edition,
  • Columbia University (46 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.18% were posted by at least one author from the top 10 institutions publishing in the journal. Another 18.68% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.09% of all publications and 45.05% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • A model of supply-chain decisions for resource sharing with an application to ventilator allocation to combat COVID-19

    Sanjay Mehrotra;Hamed Rahimian;Masoud Barah;Fengqiao Luo

    (2020)
    164 Citations
  • Variance reduced value iteration and faster algorithms for solving Markov decision processes

    Aaron Sidford;Mengdi Wang;Xian Wu;Yinyu Ye

    (2021)
    107 Citations
  • Where to locate COVID-19 mass vaccination facilities?

    Dimitris Bertsimas;Vassilis Digalakis;Alexander Jacquillat;Michael Lingzhi Li

    (2021)
    73 Citations
  • Optimal consumer sales tax policies for online-offline retail operations with consumer returns

    Ting Zhang;Tsan-Ming Choi

    (2021)
    39 Citations
  • Data-driven research in retail operations - a review

    Meng Qi;Ho‐Yin Mak;Zuo‐Jun Max Shen

    (2020)
    34 Citations
  • Subsidy design in a vessel speed reduction incentive program under government policies

    Dan Zhuge;Shuaian Wang;Lu Zhen;Gilbert Laporte;Gilbert Laporte

    (2021)
    26 Citations

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