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Bibliometrics for Librarians Session 3
[article]
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]
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]
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
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
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
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
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
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
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
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]
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
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]
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
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
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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