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Citation Profile [Updated: 2024-11-03 20:16:59]
5 Years H Index
1
Impact Factor (IF)
0
5 Years IF
0
Data available in this report

[Raw data] [50 most cited papers] [50 most relevant papers] [cites used to compute IF] [Recent citations ][Frequent citing series ] [more data in EconPapers] [trace new citations] [Missing citations? Add them now] [Incorrect content? Let us know]

Main indicators
Raw Data

 

IF AIF CIF IF5 DOC CDO CIT NCI CCU D2Y C2Y D5Y C5Y SC %SC CiY II AII
2015 0 0.55 0 0 13 13 0 0 0 0 0 0 0.23
2016 0 0.53 0 0 12 25 0 0 13 13 0 0 0.21
2017 0.04 0.54 0.02 0.04 18 43 1 1 1 25 1 25 1 0 0 0.22
2018 0 0.55 0 0 19 62 1 1 30 43 0 0 0.24
2019 0 0.57 0 0 15 77 0 1 37 62 0 0 0.23
2020 0 0.68 0 0 5 82 0 1 34 77 0 0 0.32
2021 0 0.81 0.02 0.03 10 92 0 2 3 20 69 2 0 0 0.3
2022 0.07 0.86 0.04 0.06 15 107 0 4 7 15 1 67 4 0 0 0.26
2023 0 0.92 0 0 20 127 0 7 25 64 0 0 0.27
IF: Two years Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for all series in RePEc in year y
CIF: Cumulative impact factor
IF5: Five years Impact Factor: C5Y / D5Y
DOC: Number of documents published in year y
CDO: Cumulative number of documents published until year y
CIT: Number of citations to papers published in year y
NCI: Number of citations in year y
CCU: Cumulative number of citations to papers published until year y
D2Y: Number of articles published in y-1 plus y-2
C2Y: Cites in y to articles published in y-1 plus y-2
D5Y: Number of articles published in y-1 until y-5
C5Y: Cites in y to articles published in y-1 until y-5
SC: selft citations in y to articles published in y-1 plus y-2
%SC: Percentage of selft citations in y to articles published in y-1 plus y-2
CiY: Cites in year y to documents published in year y
II: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y
50 most cited documents in this series
#YearTitleCited
12017Correlated gamma frailty models for bivariate survival data based on reversed hazard rate. (2017). Hanagal, David D ; Pandey, Arvind . In: International Journal of Data Science. RePEc:ids:ijdsci:v:2:y:2017:i:4:p:301-324.

Full description at Econpapers || Download paper

2
22020RNN-based deep-learning approach to forecasting hospital system demands: application to an emergency department. (2020). Abdennbi, Kahina ; Kadri, Farid. In: International Journal of Data Science. RePEc:ids:ijdsci:v:5:y:2020:i:1:p:1-25.

Full description at Econpapers || Download paper

1
32015Origins of institutions in cities: a modelling framework. (2015). Lai, Shih-Kung ; Han, Haoying . In: International Journal of Data Science. RePEc:ids:ijdsci:v:1:y:2015:i:2:p:139-156.

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1
42018Performance analysis of NARX neural network backpropagation algorithm by various training functions for time series data. (2018). Kumar, Ashok D ; Murugan, S. In: International Journal of Data Science. RePEc:ids:ijdsci:v:3:y:2018:i:4:p:308-325.

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1
52018Hurst exponent, fractals and neural networks for forecasting financial asset returns in Brazil. (2018). de Mendona, Joo Nunes ; Takamatsu, Renata Turola ; Lopes, Luiz Paulo. In: International Journal of Data Science. RePEc:ids:ijdsci:v:3:y:2018:i:1:p:29-49.

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1
62022User stickiness in mobile games. (2022). Shen, Zihan ; Deng, Pei ; Xing, Ruben ; Lu, Wei. In: International Journal of Data Science. RePEc:ids:ijdsci:v:7:y:2022:i:2:p:95-120.

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1
72016An analysis of the relation between natural disasters and Big Data. (2016). Velev, Dimiter ; Zlateva, Plamena . In: International Journal of Data Science. RePEc:ids:ijdsci:v:1:y:2016:i:4:p:370-381.

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1
50 most relevant documents in this series (papers most cited in the last two years)
#YearTitleCited
Citing documents used to compute impact factor:
YearTitle
Recent citations