[Raw
data] [50 most cited papers]
[50 most relevant papers]
[cites used to compute IF]
[Recent
citations ][Frequent citing
series ] [more data in
EconPapers]
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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 | 0.52 | 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 | 0.21 | ||
2018 | 0 | 0.55 | 0 | 0 | 19 | 62 | 1 | 1 | 30 | 43 | 0 | 0 | 0.23 | |||||
2019 | 0 | 0.56 | 0 | 0 | 15 | 77 | 0 | 1 | 37 | 62 | 0 | 0 | 0.22 | |||||
2020 | 0 | 0.68 | 0 | 0 | 5 | 82 | 0 | 1 | 34 | 77 | 0 | 0 | 0.32 | |||||
2021 | 0 | 0.8 | 0.02 | 0.03 | 10 | 92 | 0 | 2 | 3 | 20 | 69 | 2 | 0 | 0 | 0.29 | |||
2022 | 0.07 | 0.83 | 0.04 | 0.06 | 15 | 107 | 0 | 4 | 7 | 15 | 1 | 67 | 4 | 0 | 0 | 0.25 | ||
2023 | 0 | 0.8 | 0 | 0 | 20 | 127 | 0 | 7 | 25 | 64 | 0 | 0 | 0.22 | |||||
2024 | 0.03 | 1.02 | 0.01 | 0.02 | 19 | 146 | 0 | 1 | 8 | 35 | 1 | 65 | 1 | 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 |
# | Year | Title | Cited |
---|---|---|---|
1 | 2017 | Correlated 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 |
2 | 2018 | Hurst 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. Full description at Econpapers || Download paper | 1 |
3 | 2022 | User 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. Full description at Econpapers || Download paper | 1 |
4 | 2016 | An 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. Full description at Econpapers || Download paper | 1 |
5 | 2020 | RNN-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 |
6 | 2015 | Origins 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. Full description at Econpapers || Download paper | 1 |
7 | 2018 | Performance 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. Full description at Econpapers || Download paper | 1 |
# | Year | Title | Cited |
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Year | Title | |
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2024 | ICT sector electricity consumption and greenhouse gas emissions â 2020 outcome. (2024). Bergmark, Pernilla ; Lovehagen, Nina ; Malmodin, Jens ; Lunden, Dag. In: Telecommunications Policy. RePEc:eee:telpol:v:48:y:2024:i:3:s0308596123002124. Full description at Econpapers || Download paper |