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

Journal2020201920182017201620152014201320122011
生物統計学
Biostatistics5.903.102.051.501.802.112.652.242.432.15
JASA5.033.993.412.302.021.731.982.111.831.99
JRSS B4.493.973.282.894.614.223.525.724.813.65
SMMR3.022.292.392.283.954.634.472.962.362.44
J Causal Infer3.001.72--------
Biometrics2.571.711.761.521.331.361.571.521.411.83
Biometrika2.451.631.641.671.451.131.421.511.651.91
StatMed2.371.781.851.931.861.531.832.042.041.88
Biom J2.211.421.261.111.080.680.951.241.151.25
Pharm Stat1.891.371.550.951.281.240.831.100.992.07
Lifetime Data Anal1.590.790.951.000.820.810.650.540.850.92
Stat Biopharm Res1.450.710.920.830.440.670.620.700.510.54
J Biopharm Stat1.050.600.760.640.990.880.590.720.731.34
Int J Biostat0.970.681.310.840.500.670.740.951.361.28
Epidemiol Methods----------
Biostat Epidemiol----------
臨床試験・臨床研究
Res Synth Methods5.275.305.043.223.022.463.90---
Clinical Trials2.492.462.262.712.721.861.931.942.202.36
Contemp Clin Trials2.231.832.282.662.102.051.941.991.601.81
疫学
Int J Epidemiol7.207.717.348.367.747.529.189.206.986.41
J Clin Epidemiol6.444.954.654.254.984.703.425.485.334.27
Am J Epidemiol4.904.534.474.324.835.045.234.984.785.22
Epidemiol4.825.074.724.995.996.086.206.185.745.57
J Epidemiol3.213.693.082.522.452.553.022.862.111.86
Global Epidemiol----------
応用統計学
Am Stat8.711.835.384.300.651.220.920.880.980.96
Bayesian Anal3.732.702.092.341.461.091.342.582.421.65
Stat Comput2.563.042.381.852.051.791.621.751.981.43
JRSS A2.482.211.792.471.851.701.641.571.362.11
TEST2.351.211.421.181.271.210.981.021.271.13
JCGS2.302.321.881.791.741.761.221.181.271.06
Stat Pap2.231.431.351.020.730.780.810.820.680.59
J Appl Stat2.081.030.770.700.660.420.420.450.450.41
Stat Model2.041.491.031.431.070.930.980.790.680.90
JRSS C1.861.591.341.751.761.351.491.421.250.83
CSDA1.681.191.321.181.691.181.401.151.301.03
J Stat Comput Simul1.420.920.770.870.760.750.640.710.630.50
Ann Appl Stat1.401.681.661.551.581.431.461.692.241.58
Scand J Stat1.400.921.520.900.910.910.871.061.171.12
Stat Method Appl1.310.610.590.930.570.380.660.570.350.41
Stat Sin1.260.970.950.890.900.841.161.231.141.02
J Nonparametr Stat1.230.610.710.630.510.450.500.530.530.46
AStA-Adv Stat Anal1.160.981.050.640.871.050.780.760.960.44
Commun Stat-Simul Comput1.120.650.490.500.460.400.330.290.390.48
Stat0.920.770.47-------
Commun Stat-Theory Methods0.890.610.420.350.310.300.270.280.270.39
Can J Stat0.880.660.590.510.660.410.650.700.590.67
Aust N Z J Stat0.640.540.620.380.680.430.420.420.530.44
SAGMB0.420.780.540.810.651.271.131.061.721.52
理論統計学
Ann Stat4.032.652.902.523.022.782.182.442.533.03
Bernoulli1.601.501.391.341.071.371.161.300.941.05
J Multivar Anal1.471.141.031.010.900.860.930.941.060.88
Ann Inst Stat Math1.270.760.770.731.050.770.820.660.740.86
Electron J Stat1.130.860.990.810.870.740.961.020.791.15
JSPI1.110.680.760.810.860.730.680.600.710.72
Stat Probab Lett0.870.680.620.530.540.510.600.530.530.50
統計学レビュー誌
Annu Rev Stat Appl5.815.103.863.293.113.05----
Stat Sci2.903.582.322.321.882.212.741.692.243.04
Int Stat Rev2.222.742.212.051.781.791.201.190.720.54
Statistics Surveys----------
統計ソフトウェア
J Stat Softw6.4413.6411.6622.749.442.383.803.804.914.01
R Journal3.983.312.681.371.081.051.040.900.83-
Stata J2.641.991.802.161.081.291.001.651.312.22

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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