Italian Stata Users' Group Meetings 2022 / Stata Users Group
Citation Profile [Updated: 2025-11-20 18:08:17]
5 Years H Index
1
Impact Factor (IF)
0.15
5 Years IF
0.15
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 | |
| 2022 | 0 | 0.66 | 0 | 0 | 13 | 13 | 1 | 0 | 0 | 0 | 0 | 0 | 0.21 |
| 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 | 2022 | Machine learning using Stata/Python. (2022). Cerulli, Giovanni. In: Italian Stata Users' Group Meetings 2022. RePEc:boc:isug22:02. Full description at Econpapers || Download paper | 2 |
50 most relevant documents in this series (papers most cited in the last two years)
| # | Year | Title | Cited |
|---|---|---|---|
| 1 | 2022 | Machine learning using Stata/Python. (2022). Cerulli, Giovanni. In: Italian Stata Users' Group Meetings 2022. RePEc:boc:isug22:02. Full description at Econpapers || Download paper | 2 |
Citing documents used to
compute impact factor: 2
| Year | Title | |
|---|---|---|
| 2024 | Who will sign a double tax treaty next? A prediction based on economic determinants and machine learning algorithms. (2024). Zagler, Martin ; Erokhin, Dmitry. In: Economic Modelling. RePEc:eee:ecmode:v:139:y:2024:i:c:s0264999324001767. Full description at Econpapers || Download paper | |
| 2024 | Unlocking machine learning for social sciences: The case for identifying Industry 4.0 adoption across business restructuring events. (2024). Lamperti, Fabio. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:207:y:2024:i:c:s0040162524004256. Full description at Econpapers || Download paper |
Recent citations
Recent citations received in 2022
| Year | Citing document |
|---|
10 most frequent citing series
| # | Series | H | Cites | |
|---|---|---|---|---|
| 1 | Technological Forecasting and Social Change / Elsevier | 79 | 1 | |
| 2 | Economic Modelling / Elsevier | 94 | 1 |