ProfessorsProfessors of Aalto-yliopistoSeppälä Tomi T

Seppälä Tomi T

Aalto-yliopisto

H-index: 16

Europe-Finland

About Seppälä Tomi T

Seppälä Tomi T, With an exceptional h-index of 16 and a recent h-index of 13 (since 2020), a distinguished researcher at Aalto-yliopisto, specializes in the field of Statistical Methods and Simulation, Accounting and Financial Econometrics, Biometrics, Quality, Strategic Management and Interna.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fear of childbirth after induced abortion in primiparous women: Population‐based register study from Finland

Miscarriage treatment-related adverse events in Finland: results of a nationwide registry study 1998-2016

Portfolio Models for Optimizing Drawdown Duration

Generating Research Questions from Digital Trace Data: A Machine Learning Method for Discovering Patterns in a Dynamic Environment

Optimal Portfolio Choice Based on Drawdown Stochastic Dominance

Portfolio Optimization Model for Supporting Venture Capital Decision-Making

Seppälä Tomi T Information

University	Aalto-yliopisto
Position	Senior Fellow of Quantitative Methods School of Business
Citations(all)	1771
Citations(since 2020)	689
Cited By	1365
hIndex(all)	16
hIndex(since 2020)	13
i10Index(all)	19
i10Index(since 2020)	14
Email	Access Email
University Profile Page	Aalto-yliopisto
Google Scholar	View Google Scholar Profile

Seppälä Tomi T Skills & Research Interests

Statistical Methods and Simulation

Accounting and Financial Econometrics

Biometrics

Quality

Strategic Management and Interna

Top articles of Seppälä Tomi T

Title	Journal	Author(s)	Publication Date
Fear of childbirth after induced abortion in primiparous women: Population‐based register study from Finland	Acta Obstetricia et Gynecologica Scandinavica	Venla Kemppainen Maarit Mentula Tomi Seppälä Mika Gissler Hanna Rouhe ...	2024/2
Miscarriage treatment-related adverse events in Finland: results of a nationwide registry study 1998-2016	Acta Obstetricia et Gynecologica Scandinavica	Nea Helle Maarit Niinimäki Tomi Seppälä Anna But Mika Gissler ...	2023/12
Portfolio Models for Optimizing Drawdown Duration	Available at SSRN 4564199	Andrei Vedernikov Juuso Liesiö Tomi Seppälä	2022/4/1
Generating Research Questions from Digital Trace Data: A Machine Learning Method for Discovering Patterns in a Dynamic Environment	Communications of the Association for Information Systems	Henrik Kallio Pekka Malo Timo Lainema Johanna Bragge Tomi Seppälä ...	2022
Optimal Portfolio Choice Based on Drawdown Stochastic Dominance	Available at SSRN 4659985	Andrei Vedernikov Juuso Liesiö Tomi Seppälä	2022/4/1
Portfolio Optimization Model for Supporting Venture Capital Decision-Making	Available at SSRN	Andrei Vedernikov Juuso Liesiö Tomi Seppälä	2022/4/1