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Bibliometrics for Librarians Session 3 [article]

Clarke Iakovakis
2020 Figshare  
Slides for Bibliometrics for Librarians session 3  ...  Bibliographic coupling and its application to research-front and other core documents. Journal of Informetrics, 1(4), 287-307.  ...  /services/bibliometrics/bibliometrics- training-series • Access the webpage and follow the instructions under Exercises and Videos for session 3 at https://pdoehle.github.io/bibliometrics- for-librarians  ... 
doi:10.6084/m9.figshare.12698705.v2 fatcat:rutfq7xpkndphjoopdf4jjjifq

Bibliometrics for Librarians Session 3 [article]

Clarke Iakovakis
2020 Figshare  
Slides for Bibliometrics for Librarians session 3  ...  Bibliographic coupling and its application to research-front and other core documents. Journal of Informetrics, 1(4), 287-307.  ...  /services/bibliometrics/bibliometrics- training-series • Access the webpage and follow the instructions under Exercises and Videos for session 3 at https://pdoehle.github.io/bibliometrics- for-librarians  ... 
doi:10.6084/m9.figshare.12698705.v3 fatcat:msbzam7vqbfnfhdjq2mf7muqz4

Bibliometrics for Librarians Session 3 [article]

Clarke Iakovakis
2020 Figshare  
Slides for Bibliometrics for Librarians session 3  ...  Bibliographic coupling and its application to research-front and other core documents. Journal of Informetrics, 1(4), 287-307.  ...  The opposite of co-citation:Nees Jan van Eck and Ludo Waltman, "Visualizing Bibliometric Networks," in Measuring Scholarly Impact: Methods and Practice, ed.  ... 
doi:10.6084/m9.figshare.12698705 fatcat:cklvtescrvg3dbxncrqhve6xja

Efficient Updating of Node Importance in Dynamic Real-Life Networks

J. Berkhout, B.F. Heidergott
2018 IFAC-PapersOnLine  
In this paper, new approximations are introduced that allow to efficiently update the ergodic projector of Markov multi-chains.  ...  The numerical applicability is illustrated with a real-life social network example.  ...  Also in other application domains Markov chain network analysis can lead to important insights, such as in bibliometrics, social network analysis, systems analysis of road networks, as well as in economics  ... 
doi:10.1016/j.ifacol.2018.06.280 fatcat:3dflikxri5atvlxbzobuq3ge4u

Statistical Approaches for Forecasting Primary Air Pollutants: A Review

Kuo Liao, Xiaohui Huang, Haofei Dang, Yin Ren, Shudi Zuo, Chensong Duan
2021 Atmosphere  
Combining bibliometrics with the evolutionary tree and Markov chain methods can achieve a superior quantitative analysis of research hotspots and trends.  ...  , and applied the Markov chain to predict future research trends for major air pollutants.  ...  Markov Chain Analysis The Markov chain method quantitatively displays the development status of prediction methods for research on different air pollutants (Figure 4) .  ... 
doi:10.3390/atmos12060686 fatcat:jrz7t4qw2zcqpczs2vkyryudz4

A Bibliometric Analysis of Artificial Intelligence applications during COVID-19 Based on Web of Science (WoS) Database

Abdelmageed الغامدي
2022 Mağallaẗ al-ʿulūm al-handasiyyaẗ wa-al-tiknūlūğiyā al-maʿlūmāt  
This article opens up another analytic method of Artificial Intelligence applications in Light of COVID-19, mainly explaining this binding domain's current trends and knowledge areas, according to the  ...  The bibliometric study was performed to present new research trends in Artificial Intelligence in light of COVID-19.  ...  Analysis of Artificial Intelligence applications during COVID-19 ( 155 ) A Bibliometric Analysis of Artificial Intelligence applications during COVID-19 ( 156 ) Algamdi Table (1) The most important  ... 
doi:10.26389/ajsrp.m211221 fatcat:q6tyxh4p5ndovgdmlktjgmmkjq

Learning from the past to shape the future: a comprehensive text mining analysis of OR/MS reviews

Rodrigo Romero-Silva, Sander de Leeuw
2020 Omega : The International Journal of Management Science  
Abstract [40] OM field (5 journals) Use of Latent Semantic Analysis to discover the intellectual structure of OM Topics Abstract [26] OR/MS field (ESI database) Bibliometric analysis of highly cited papers  ...  supply, sustainable supply chain, and resilience engineering have all received significant attention from researchers.  ...  in a wide variety of applications [83] .  ... 
doi:10.1016/j.omega.2020.102388 fatcat:fi6nuthsbncn3dxzijukyonpwu

Information Diffusion Model in Twitter: A Systematic Literature Review

Firdaniza Firdaniza, Budi Nurani Ruchjana, Diah Chaerani, Jaziar Radianti
2021 Information  
However, literature overviews on the information diffusion of Twitter analytics are sparse, especially on the use of continuous time Markov chain (CTMC).  ...  Second, we analyzed the gap in research themes on the application of CTMC information diffusion on Twitter.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info13010013 fatcat:ehxxogxd3ndstcgnnbdumvwto4

Machine Learning Applications: The Past and Current Research Trend in Diverse Industries

Omid Ameri Sianaki, Ashkan Yousefi, Azadeh Tabesh, Mehregan Mahdavi
2019 Inventions  
In the smart grid portion of this paper, the recently developed deep reinforcement learning techniques and their applications in Smart Cities are also presented and reviewed.  ...  All three of these industries could greatly benefit from machine learning and deep learning techniques on big data collected by the Internet of Things, which is named as the internet of everything to emphasise  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/inventions4010008 fatcat:uozcmprkqvdlji2hhmpt6xa6dq

Condition-Based Maintenance—An Extensive Literature Review

Elena Quatrini, Francesco Costantino, Giulio Di Gravio, Riccardo Patriarca
2020 Machines  
The paper encompasses over 4000 contributions, analysed through bibliometric indicators and meta-analysis techniques.  ...  The review adopts Factor Analysis as a dimensionality reduction, concerning the metric of the co-citations of the papers.  ...  In general, hidden semi-Markov models are preferable since they guarantee more realistic applicability if compared to Markov chains [193] .  ... 
doi:10.3390/machines8020031 fatcat:iwvbt5arqfditbreegovxww7te

Maps of sparse Markov chains efficiently reveal community structure in network flows with memory [article]

Christian Persson, Ludvig Bohlin, Daniel Edler, Martin Rosvall
2016 arXiv   pre-print
In practice, network flow models have implied memoryless first-order Markov chains, but recently researchers have introduced higher-order Markov chain models with memory to capture patterns in multi-step  ...  Higher-order models are particularly important for effectively revealing actual, overlapping community structure, but higher-order Markov chain models suffer from the curse of dimensionality: their vast  ...  Thomson Reuters Web of Science.  ... 
arXiv:1606.08328v1 fatcat:um5ixlkxmffebkkc3gaohmjxoq

Cellular Automata in Modeling and Predicting Urban Densification: Revisiting the Literature since 1971

Anasua Chakraborty, Sujit Sikder, Hichem Omrani, Jacques Teller
2022 Land  
This paper also critically analyzes various hybrid models based on CA such as the Markov chain, artificial neural network (ANN), and logistic regression (LR).  ...  The creation of an accurate simulation of future urban growth is considered to be one of the most important challenges of the last five decades that involves spatial modeling within a GIS environment.  ...  The CA models can be integrated with Markov chain and logistic regression.  ... 
doi:10.3390/land11071113 fatcat:2w2om4mpazelxkzd7xd6hwcvwu

Frozen Footprints [article]

Massimo Franceschet
2009 arXiv   pre-print
Bibliometrics has the ambitious goal of measuring science.  ...  Moreover, we discuss distributions commonly used to model bibliometric phenomena and give an overview of methods to build bibliometric maps of science.  ...  Hence, the influence vector π corresponds to the stationary distribution of the associated Markov chain.  ... 
arXiv:0811.4603v2 fatcat:khbvz6bmlfhfdckhxxiuepd7va

Optimized Energy Management Schemes for Electric Vehicle Applications: A Bibliometric Analysis towards Future Trends

Md. Sazal Miah, Molla Shahadat Hossain Lipu, Sheikh Tanzim Meraj, Kamrul Hasan, Shaheer Ansari, Taskin Jamal, Hasan Masrur, Rajvikram Madurai Elavarasan, Aini Hussain
2021 Sustainability  
This article aims to offer a bibliometric analysis and investigation of optimized EMSs for EV applications.  ...  This bibliometric analysis provides a survey on EMSs related to EV applications focusing on the different battery storages, models, algorithms, frameworks, optimizations, converters, controllers, and power  ...  Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su132212800 fatcat:6g373twa5feadhzuo7r7svqqia

Quantitative and Qualitative Analysis of Time-Series Classification using Deep Learning

Saba Ale Ebrahim, Javad Poshtan, Seyedh Mahboobeh Jamali, Nader Ale Ebrahim
2020 figshare.com  
Time-series classification is utilized in a variety of applications leading to the development of many data mining techniques for time-series analysis.  ...  The quantity of related publications requires a bibliometric study to explore most prominent keywords, countries, sources and research clusters.  ...  There are many Bibliometric analyses applied in different fields of studies including research performance in social science [33] , green supply chain [34] , knowledge management [31] , university research  ... 
doi:10.6084/m9.figshare.13337249.v1 fatcat:ptcvzi72bzdlxhvzofpn5pi3bu
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