Edoardo M Airoldi

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	总计	2020 年至今
引用	46861	23773
h 指数	54	42
i10 指数	109	82

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Stephen E Fienberg 1942-2016Maurice Falk University Professor of Statistics and Social Science在 cs.cmu.edu 的电子邮件经过验证
David BleiProfessor of Statistics and Computer Science, Columbia University在 columbia.edu 的电子邮件经过验证
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U在 cs.cmu.edu 的电子邮件经过验证
Gábor CsárdiPosit PBC在 posit.co 的电子邮件经过验证
Panos ToulisUniversity of Chicago, Booth School在 chicagobooth.edu 的电子邮件经过验证
Alexander FranksDepartment of Statistics and Applied Probability, University of California Santa Barbara在 pstat.ucsb.edu 的电子邮件经过验证
Margaret E. RobertsPolitical Science, University of California San Diego在 ucsd.edu 的电子邮件经过验证
Brandon M. StewartPrinceton University在 princeton.edu 的电子邮件经过验证
Olga TroyanskayaPrinceton University and Flatiron Institute, Simons Foundation在 princeton.edu 的电子邮件经过验证
Bradley MalinAccenture Professor of Biomedical Informatics, Biostatistics, and Computer Science, Vanderbilt在 vanderbilt.edu 的电子邮件经过验证
Tamás NepuszDepartment of Biological Physics, Eötvös Loránd University在 hal.elte.hu 的电子邮件经过验证
Eric WangUniversity of Florida在 ufl.edu 的电子邮件经过验证
Tuan Q. PhanAssociate Professor of Business在 hku.hk 的电子邮件经过验证
D. Allan DrummondAssociate Professor, Biochemistry and Molecular Biology, Genetic Medicine在 uchicago.edu 的电子邮件经过验证
Nikolai SlavovNortheastern University, Harvard University, MIT, Princeton University在 fas.harvard.edu 的电子邮件经过验证
Laura ForastiereAssociate Professor在 yale.edu 的电子邮件经过验证
David BotsteinPrinceton University在 princeton.edu 的电子邮件经过验证
Dave ChoiCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Jean Pouget-AbadieGoogle Research在 google.com 的电子邮件经过验证
Patrick J. WolfeProfessor of Statistics, University College London在 stat.harvard.edu 的电子邮件经过验证

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Edoardo M Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University

在 fas.harvard.edu 的电子邮件经过验证

Statistics Causal Inference Network Science Statistical Machine Learning Artificial Intelligence


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Statistical network analysis with the igraph software package G Csárdi, T Nepusz, EM Airoldi New York, NY: Springer, 2016	14542*	2016
Guidelines for the use and interpretation of assays for monitoring autophagy DJ Klionsky, K Abdelmohsen, A Abe, MJ Abedin, H Abeliovich, ... Autophagy 12 (1), 1-222, 2016	14117*	2016
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of Machine Learning Research 9 (3), 1981-2014, 2008	2734	2008
The structural topic model and applied social science ME Roberts, BM Stewart, D Tingley, EM Airoldi NIPS Workshop on Topic Models: Computation, Application, and Evaluation 4, 1-20, 2013	2432*	2013
Analysis and design of RNA sequencing experiments for identifying isoform regulation Y Katz, ET Wang, EM Airoldi, CB Burge Nature methods 7 (12), 1009-1015, 2010	1564	2010
A survey of statistical network models A Goldenberg, AX Zheng, SE Fienberg, EM Airoldi Foundations and Trends in Machine Learning 2 (2), 129-233, 2010	1182	2010
A model of text for experimentation in the social sciences ME Roberts, BM Stewart, EM Airoldi Journal of the American Statistical Association 111 (515), 988-1003, 2016	898	2016
Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast MJ Brauer, C Huttenhower, EM Airoldi, R Rosenstein, JC Matese, ... Molecular biology of the cell 19 (1), 352-367, 2008	676	2008
Reversible, specific, active aggregates of endogenous proteins assemble upon heat stress EWJ Wallace, JL Kear-Scott, EV Pilipenko, MH Schwartz, PR Laskowski, ... Cell 162 (6), 1286-1298, 2015	532	2015
Summarizing topical content with word frequency and exclusivity J Bischof, EM Airoldi Proceedings of the 29th international conference on machine learning (icml …, 2012	356	2012
Systems-level dynamic analyses of fate change in murine embryonic stem cells R Lu, F Markowetz, RD Unwin, JT Leek, EM Airoldi, BD MacArthur, ... Nature 462 (7271), 358-362, 2009	339	2009
Stochastic blockmodels with a growing number of classes DS Choi, PJ Wolfe, EM Airoldi Biometrika 99 (2), 273-284, 2012	298	2012
Identification and estimation of treatment and interference effects in observational studies on networks L Forastiere, EM Airoldi, F Mealli Journal of the American Statistical Association, 2021	249	2021
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation EM Airoldi, TB Costa, SH Chan Advances in Neural Information Processing Systems (NIPS), 2013	240	2013
Integrating utility into face de-identification R Gross, E Airoldi, B Malin, L Sweeney International Workshop on Privacy Enhancing Technologies (PET), 227-242, 2005	225	2005
Post-transcriptional regulation across human tissues A Franks, E Airoldi, N Slavov PLoS computational biology 13 (5), e1005535, 2017	215	2017
Differential stoichiometry among core ribosomal proteins N Slavov, S Semrau, EM Airoldi, B Budnik, A van Oudenaarden Cell Reports, 2015	215	2015
Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeast G Csárdi, A Franks, DS Choi, EM Airoldi, DA Drummond PLoS Genetics 11 (5), e1005206, 2015	213	2015
Defining the essential function of yeast Hsf1 reveals a compact transcriptional program for maintaining eukaryotic proteostasis EJ Solís, JP Pandey, X Zheng, DX Jin, PB Gupta, EM Airoldi, D Pincus, ... Molecular Cell, 2016	212	2016
Mixed membership stochastic block models for relational data with application to protein-protein interactions EM Airoldi, DM Blei, SE Fienberg, EP Xing ENAR International Biometrics Society Annual Meeting, 2006	210	2006

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