International Journal of Data Science / Inderscience Enterprises Ltd
Citation Profile [Updated: 2025-11-20 18:08:17]
5 Years H Index
1
Impact Factor (IF)
0.03
5 Years IF
0.02
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 | 0.53 | 0 | 0 | 13 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0.22 | |||||
| 2016 | 0 | 0.5 | 0 | 0 | 12 | 25 | 0 | 0 | 13 | 13 | 0 | 0 | 0.2 | |||||
| 2017 | 0.04 | 0.52 | 0.02 | 0.04 | 18 | 43 | 1 | 1 | 1 | 25 | 1 | 25 | 1 | 0 | 0 | 0.21 | ||
| 2018 | 0 | 0.53 | 0 | 0 | 19 | 62 | 1 | 1 | 30 | 43 | 0 | 0 | 0.22 | |||||
| 2019 | 0 | 0.54 | 0 | 0 | 15 | 77 | 0 | 1 | 37 | 62 | 0 | 0 | 0.21 | |||||
| 2020 | 0 | 0.64 | 0 | 0 | 5 | 82 | 0 | 1 | 34 | 77 | 0 | 0 | 0.3 | |||||
| 2021 | 0 | 0.74 | 0.02 | 0.03 | 10 | 92 | 0 | 2 | 3 | 20 | 69 | 2 | 0 | 0 | 0.27 | |||
| 2022 | 0.07 | 0.74 | 0.04 | 0.06 | 15 | 107 | 0 | 4 | 7 | 15 | 1 | 67 | 4 | 0 | 0 | 0.22 | ||
| 2023 | 0 | 0.7 | 0 | 0 | 20 | 127 | 0 | 7 | 25 | 64 | 0 | 0 | 0.2 | |||||
| 2024 | 0.03 | 0.82 | 0.01 | 0.02 | 19 | 146 | 0 | 1 | 8 | 35 | 1 | 65 | 1 | 0 | 0 | 0.24 |
| 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
| # | 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 | 2022 | User stickiness in mobile games. (2022). Shen, Zihan ; Lu, Wei ; Xing, Ruben ; Deng, Pei. 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 |
| 3 | 2016 | An analysis of the relation between natural disasters and Big Data. (2016). Zlateva, Plamena ; Velev, Dimiter. 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 |
| 4 | 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 |
| 5 | 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 |
| 6 | 2018 | Performance analysis of NARX neural network backpropagation algorithm by various training functions for time series data. (2018). Murugan, S ; Kumar, Ashok D. 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 |
| 7 | 2018 | Hurst exponent, fractals and neural networks for forecasting financial asset returns in Brazil. (2018). Takamatsu, Renata Turola ; Lopes, Luiz Paulo ; de Mendona, Joo Nunes. 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 |
50 most relevant documents in this series (papers most cited in the last two years)
| # | Year | Title | Cited |
|---|
Citing documents used to
compute impact factor: 1
| Year | Title | |
|---|---|---|
| 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 |
Recent citations
10 most frequent citing series