Nature inspired meta‐heuristic algorithms for solving the service composition problem in the cloud environments

Asghari, Saied; Navimipour, Nima Jafari

doi:10.1002/dac.3708

Cited by 60 publications

(35 citation statements)

References 130 publications

(153 reference statements)

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“…). Therefore, it is imperative to choose and include keywords that can be readily searched to identify relevant references when scrutinizing an infinite body of rich materials (Asghari & Navimipour ). Unfortunately, several articles in the present study did not contain keywords (Kvist & Reit , Kojima et al .…”

Section: Discussionmentioning

confidence: 99%

A bibliometric study of the top 100 most‐cited randomized controlled trials, systematic reviews and meta‐analyses published in endodontic journals

et al. 2019

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Aim To identify and analyse the main features of the top 100 most‐cited randomized controlled trials, systematic reviews and meta‐analyses published in endodontic journals from 1961 to 2018. Methodology The Clarivate Analytics’ Web of Science ‘All Databases’ was used to search and analyse the 100 most frequently cited randomized controlled trials, systematic reviews and meta‐analyses having ‘randomized’, ‘randomised’, ‘randomized controlled’, ‘randomised controlled’, ‘randomized controlled trial’, ‘randomized controlled trials’, ‘clinical trial’, ‘systematic’, ‘systematic review’, ‘meta‐analysis’, and ‘meta‐analyses’ in the title section. The ‘International Endodontic Journal’, ‘Journal of Endodontics’, ‘Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology’, ‘Australian Endodontic Journal’, ‘Endodontics & Dental Traumatology’, ‘Endo‐Endodontic Practice Today’ and ‘European Endodontic Journal’ were included in the publication name section. After ranking the articles in a descending order based on their citation counts, each article was cross‐matched with the citation counts in Elsevier's Scopus and Google Scholar. The articles were analysed, and information on citation counts, citation density, year of publication, contributing authors, institutions and countries, journal of publication, study design, topic of the article and keywords was extracted. Results The citation counts of the 100 most‐cited articles varied from 235 to 20 (Web of Science), 276 to 17 (Scopus) and 696 to 1 (Google Scholar). The year in which the top 100 articles were published was 2010 (n = 13). Among 373 authors, the greatest number of articles was associated with three individuals namely Reader A (n = 5), Beck M (n = 5) and Kvist T (n = 5). Most of the articles originated from the United States (n = 24) with the greatest contribution from Ohio State University (USA) (n = 5). Randomized controlled trials were the most frequent study design (n = 45) followed by systematic reviews (n = 30) with outcome studies of root canal treatment being the major topic (n = 35). The Journal of Endodontics published the largest number of included articles (n = 70) followed by the International Endodontic Journal (n = 27). Among 259 unique keywords, meta‐analysis (n = 23) and systematic review (n = 23) were the most frequently used. Conclusion This study has revealed that year of publication had no obvious impact on citation count. The bibliometric analysis highlighted the quantity and quality of research, and the evolution of scientific advancements made in the field of Endodontology over time. Articles before 1996, that is prior to the CONSORT statement that encouraged authors to include specific terms in the title and keywords, may not have been included in this electronic search.

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Section: Discussionmentioning

confidence: 99%

A bibliometric study of the top 100 most‐cited randomized controlled trials, systematic reviews and meta‐analyses published in endodontic journals

et al. 2019

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“…They act as “codes” to source the required scientific research articles . Therefore it is imperative to choose and include keywords which can readily search and identify relevant references when scrutinizing an infinite body of rich material . The purpose of determining the most frequently used keywords was to guide and assist researchers in searching for published articles relevant to Dental Traumatology when using the different search engines.…”

Section: Discussionmentioning

confidence: 99%

A bibliometric analysis of the top 50 most cited articles published in the Dental Traumatology

Ahmad

Abbott

Alam

et al. 2019

Dental Traumatology

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Background/Aims The impact of a scientific article in its respective field is reflected by its citation count. The purpose of this review was to conduct a citation analysis in order to identify and analyze the top 50 most cited articles published in Dental Traumatology since its inception in order to highlight the contribution of the journal to the field of Dental Traumatology. Methods Elsevier's Scopus was used to search and analyze the 50 most frequently cited scientific papers. After the screening process, two reviewers arranged the articles in a descending order based on their citation counts. Each article was then cross‐matched with Google Scholar. The articles were analyzed, and information including citation counts, citation density, publication year, authorship, contributing institutions and countries, article topic, study design, and keywords was extracted. Results The literature search identified 2421 articles. The citation counts of the 50 selected articles varied from 117 to 580 (Scopus) and 206 to 1130 (Google Scholar). The year in which most top 50 articles were published was 2002 (n = 5). Among 105 authors, the greatest contribution was made by JO Andreasen (n = 12). Most of the articles originated from the United States (n = 12) with the greatest contributions from the University Hospital (Rigshospitalet), Copenhagen, Denmark (n = 6). Original research article was the most frequent study design (n = 34). The majority of the top 50 articles were focused on traumatic dental injuries. Among 131 unique key words, root resorption (n = 6) was the most frequently used. A non‐significant correlation occurred between citation count (correlation coefficient = 0.127, P = .378), citation density (correlation coefficient = 0.654, P = 2.493), and publication age. Conclusions This study identified the top 50 most cited articles published in this journal in the specialty of Dental Traumatology. The publication year of an article was not significantly associated with citation count nor citation density.

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“…[75][76][77][78][79] The article selection process for choosing the articles for the SLR method includes three stages: Figure 4 shows the distribution of these articles with the year of publication. The SLR is an accurate evaluation and analysis of all researches that are related to a specific problem.…”

Section: Article Selection Processmentioning

confidence: 99%

Towards efficient data collection mechanisms in the vehicular ad hoc networks

Pourghebleh

Navimipour

2019

Int J Communication

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Recently, the fast growth of communication technology has led to the design and implementation of different types of networks in different environments. One of these remarkable networks is vehicular ad hoc network (VANET).The ubiquitous connectivity among vehicles is possible through VANET in the absence of fixed infrastructure. Moreover, it provides safety and comfort to people sitting in the vehicles. In this regard, collecting information from vehicles that are moved constantly is an essential challenge. To develop an efficient method for data collection in the VANET, some parameters must be considered such as data aggregation, latency, packet delivery ratio, packet loss, scalability, security, transmission overhead, and vehicle density. Since data collection has a significant importance in the VANET, the aim of this study is to investigate the existing methods and describe the types of important issues and challenging problems that can be addressed in data collection in the VANET. The data collection techniques are investigated in four primary groups, namely, topology-based, cluster-based, geocast-based, and fog-based.Also, the mentioned parameters are important to compare all of the presented techniques. KEYWORDS communication architecture, data collection, VANET, vehicle-to-vehicle communication, vehicular ad hoc networks | INTRODUCTIONOne of the growing disruptive innovation is the Internet of things (IoT), which allows physical devices to communicate over heterogeneous networks. 1-3 Moreover, one of the IoT applications is vehicular ad hoc network (VANET), 4 which has been developed as a powerful technology aimed at providing safety and comfort to people sitting in the vehicles. 5,6 Moreover, it affords wireless communication among vehicles, and dynamic traffic data is transferred with a high accuracy and low cost. 7,8 The VANET is a module of intelligent transportation systems (ITS) and a subdivision of mobile ad hoc network (MANET). 9,10 Typically, the vehicles are armed with sensing equipment and have a high storage and processing capacity. 11 The unique features of the VANETs include higher node density, instability of wireless channel and limited bandwidth, predictability of vehicular pathway, highly dynamic network topology that change quickly and repeatedly, sufficient energy and resources, and hard delay constraints. 12-14 A large scale of VANET is foreseen to be available in the near future because of the rapid growth of vehicles equipped with communication abilities. 15 The data dissemination and the data collection of vehicles are two significant factors supported by VANET. 16

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Nature inspired meta‐heuristic algorithms for solving the service composition problem in the cloud environments

Cited by 60 publications

References 130 publications

A bibliometric study of the top 100 most‐cited randomized controlled trials, systematic reviews and meta‐analyses published in endodontic journals

A bibliometric study of the top 100 most‐cited randomized controlled trials, systematic reviews and meta‐analyses published in endodontic journals

A bibliometric analysis of the top 50 most cited articles published in the Dental Traumatology

Towards efficient data collection mechanisms in the vehicular ad hoc networks

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