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Econometrics. Advances in Applied Data Analysis / Sciendo

Citation Profile [Updated: 2024-11-03 20:16:59]
5 Years H Index
1
Impact Factor (IF)
0
5 Years IF
0.01
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
2018 0 0.55 0 0 22 22 3 0 0 0 0 0 0.24
2019 0 0.57 0 0 33 55 1 0 22 22 0 0 0.23
2020 0.02 0.68 0.01 0.02 21 76 0 1 1 55 1 55 1 0 0 0.32
2021 0 0.81 0.01 0.01 18 94 0 1 2 54 76 1 0 0 0.3
2022 0 0.86 0.02 0.02 10 104 0 2 4 39 94 2 0 0 0.26
2023 0 0.92 0.01 0.01 13 117 0 1 5 28 104 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
50 most cited documents in this series
#YearTitleCited
12018Predicting the Default Risk of Companies. Comparison of Credit Scoring Models: Logit Vs Support Vector Machines. (2018). nehrebecka, natalia ; Natalia, Nehrebecka. In: Econometrics. Advances in Applied Data Analysis. RePEc:vrs:eaiada:v:22:y:2018:i:2:p:54-73:n:5.

Full description at Econpapers || Download paper

3
22019Competing Risk Models of Default in the Presence of Early Repayments. (2019). Ewa, Wycinka. In: Econometrics. Advances in Applied Data Analysis. RePEc:vrs:eaiada:v:23:y:2019:i:2:p:99-120:n:7.

Full description at Econpapers || Download paper

1
32019Clustering Companies Listed on the Warsaw Stock Exchange According to Time-Varying Beta. (2019). Piotr, Szczepocki. In: Econometrics. Advances in Applied Data Analysis. RePEc:vrs:eaiada:v:23:y:2019:i:2:p:63-79:n:5.

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1
42018Analysis of Innovations in the European Union Via Ensemble Symbolic Density Clustering. (2018). Marcin, Peka. In: Econometrics. Advances in Applied Data Analysis. RePEc:vrs:eaiada:v:22:y:2018:i:3:p:84-98:n:6.

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1
50 most relevant documents in this series (papers most cited in the last two years)
#YearTitleCited
12018Predicting the Default Risk of Companies. Comparison of Credit Scoring Models: Logit Vs Support Vector Machines. (2018). nehrebecka, natalia ; Natalia, Nehrebecka. In: Econometrics. Advances in Applied Data Analysis. RePEc:vrs:eaiada:v:22:y:2018:i:2:p:54-73:n:5.

Full description at Econpapers || Download paper

2
Citing documents used to compute impact factor:
YearTitle
Recent citations