Kengo Nagashima



個人的なリンク

国内研究教育機関・大学病院・ナショナルセンター等の疫学・生物統計関連部門

海外の疫学・生物統計関連機関・部門

学会

JournalとImpact Factorのリスト

Journal201920182017201620152014201320122011
生物統計学
JASA3.993.412.302.021.731.982.111.831.99
JRSS B3.973.282.894.614.223.525.724.813.65
Biostatistics3.102.051.501.802.112.652.242.432.15
SMMR2.292.392.283.954.634.472.962.362.44
StatMed1.781.851.931.861.531.832.042.041.88
J Causal Infer1.72--------
Biometrics1.711.761.521.331.361.571.521.411.83
Biometrika1.631.641.671.451.131.421.511.651.91
Biom J1.421.261.111.080.680.951.241.151.25
Pharm Stat1.371.550.951.281.240.831.100.992.07
Lifetime Data Anal0.790.951.000.820.810.650.540.850.92
Stat Biopharm Res0.710.920.830.440.670.620.700.510.54
Int J Biostat0.681.310.840.500.670.740.951.361.28
J Biopharm Stat0.600.760.640.990.880.590.720.731.34
Epidemiol Methods---------
Biostat Epidemiol---------
臨床試験・臨床研究
Res Synth Methods5.305.043.223.022.463.90---
Clinical Trials2.462.262.712.721.861.931.942.202.36
Contemp Clin Trials1.832.282.662.102.051.941.991.601.81
疫学
Int J Epidemiol7.717.348.367.747.529.189.206.986.41
Epidemiol5.074.724.995.996.086.206.185.745.57
J Clin Epidemiol4.954.654.254.984.703.425.485.334.27
Am J Epidemiol4.534.474.324.835.045.234.984.785.22
J Epidemiol3.693.082.522.452.553.022.862.111.86
Global Epidemiol---------
応用統計学
Stat Comput3.042.381.852.051.791.621.751.981.43
Bayesian Anal2.702.092.341.461.091.342.582.421.65
JCGS2.321.881.791.741.761.221.181.271.06
JRSS A2.211.792.471.851.701.641.571.362.11
Am Stat1.835.384.300.651.220.920.880.980.96
Ann Appl Stat1.681.661.551.581.431.461.692.241.58
JABES1.651.201.070.850.790.910.781.241.21
JRSS C1.591.341.751.761.351.491.421.250.83
Stat Model1.491.031.431.070.930.980.790.680.90
Stat Pap1.431.351.020.730.780.810.820.680.59
CSDA1.191.321.181.691.181.401.151.301.03
J Appl Stat1.030.770.700.660.420.420.450.450.41
AStA-Adv Stat Anal0.981.050.640.871.050.780.760.960.44
Stat Sin0.970.950.890.900.841.161.231.141.02
Scand J Stat0.921.520.900.910.910.871.061.171.12
J Stat Comput Simul0.920.770.870.760.750.640.710.630.50
SAGMB0.780.540.810.651.271.131.061.721.52
Stat0.770.47-------
Can J Stat0.660.590.510.660.410.650.700.590.67
Commun Stat-Simul Comput0.650.490.500.460.400.330.290.390.48
Stat Method Appl0.610.590.930.570.380.660.570.350.41
Commun Stat-Theory Methods0.610.420.350.310.300.270.280.270.39
J Nonparametr Stat0.610.710.630.510.450.500.530.530.46
Aust N Z J Stat0.540.620.380.680.430.420.420.530.44
理論統計学
Ann Stat2.652.902.523.022.782.182.442.533.03
Bernoulli1.501.391.341.071.371.161.300.941.05
J Multivar Anal1.141.031.010.900.860.930.941.060.88
Electron J Stat0.860.990.810.870.740.961.020.791.15
Ann Inst Stat Math0.760.770.731.050.770.820.660.740.86
Stat Probab Lett0.680.620.530.540.510.600.530.530.50
JSPI0.680.760.810.860.730.680.600.710.72
統計学レビュー誌
Annu Rev Stat Appl5.103.863.293.113.05----
Stat Sci3.582.322.321.882.212.741.692.243.04
Int Stat Rev2.742.212.051.781.791.201.190.720.54
Statistics Surveys---------
統計ソフトウェア
J Stat Softw13.6411.6622.749.442.383.803.804.914.01
R Journal3.312.681.371.081.051.040.900.83-
Stata J1.991.802.161.081.291.001.651.312.22

個人的なコメント

引用パターン (2015/10/08)

Acceptance rateの予想 (2017/06/26)

出版数 (直近5年の最小値と最大値) を投稿数 (投稿時のID番号から適当に概算) で割って見積もっていますのでおそらく精度は低いです。

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