Mark Verhagen

Mark Verhagen

University of Oxford

H-index: 8

Europe-United Kingdom

About Mark Verhagen

Mark Verhagen, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Sociology, Statistical Methods, Computational Social Sciences.

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

Inequalities in healthcare use during the COVID-19 pandemic

The SHAPE of research impact

Incorporating Machine Learning into Sociological Model-building

Socio‐economic factors associated with loss to follow‐up among individuals with HCV: A Dutch nationwide cross‐sectional study

Nowcasting daily population displacement in Ukraine through social media advertising data

Using machine learning to study effect heterogeneity in large-scale policy interventions: The Dutch decentralisation of the Social Domain

Using machine learning to monitor the equity of large-scale policy interventions: The Dutch decentralisation of the Social Domain

SOCIO-ECONOMIC FACTORS ASSOCIATED WITH BECOMING LOST TO FOLLOW-UP AND UNSUCCESSFUL RETRIEVAL FOR INDIVIDUALS WITH HEPATITIS C: RESULTS FROM A DUTCH NATIONWIDE CASE-CONTROL STUDY

Mark Verhagen Information

University

Position

___

Citations(all)

2256

Citations(since 2020)

2231

Cited By

134

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Mark Verhagen Skills & Research Interests

Sociology

Statistical Methods

Computational Social Sciences

Top articles of Mark Verhagen

Inequalities in healthcare use during the COVID-19 pandemic

Nature Communications

2024/2/29

Incorporating Machine Learning into Sociological Model-building

Sociological Methodology

2024/1/13

Socio‐economic factors associated with loss to follow‐up among individuals with HCV: A Dutch nationwide cross‐sectional study

Liver International

2024/1

Nowcasting daily population displacement in Ukraine through social media advertising data

Population and Development Review

2023/6

Using machine learning to study effect heterogeneity in large-scale policy interventions: The Dutch decentralisation of the Social Domain

2023/4/22

Using machine learning to monitor the equity of large-scale policy interventions: The Dutch decentralisation of the Social Domain

SocArXiv. March

2023/3/16

SOCIO-ECONOMIC FACTORS ASSOCIATED WITH BECOMING LOST TO FOLLOW-UP AND UNSUCCESSFUL RETRIEVAL FOR INDIVIDUALS WITH HEPATITIS C: RESULTS FROM A DUTCH NATIONWIDE CASE-CONTROL STUDY

MICRO-ELIMINATION OF CHRONIC HEPATITIS C IN LOST TO FOLLOW-UP PATIENTS

2023

The rise of machine learning in the academic social sciences

AI & Society

2022/8/23

A pragmatist’s guide to using prediction in the social sciences

Socius

2022/2/28

Mark Verhagen
Mark Verhagen

H-Index: 5

Computer age sociology

2022

Mark Verhagen
Mark Verhagen

H-Index: 5

Knowledge similarity among founders and joiners: impact on venture scaleup in Fintech and Lawtech

Academy of Management Proceedings

2022

Mari Sako
Mari Sako

H-Index: 24

Mark Verhagen
Mark Verhagen

H-Index: 5

Identifying and Improving Functional Form Complexity: A Machine Learning Framework

2021/11/30

Learning loss due to school closures during the COVID-19 pandemic

Proceedings of the National Academy of Sciences

2021/4/27

To predict and explain. How prediction improves our understanding of models: an application to the study of teacher bias.

2021/4/18

The law of attraction: How similarity between judges and lawyers helps win cases in the Hong Kong Court of Final Appeal

International Review of Law and Economics

2021/3/1

Forecasting spatial, socioeconomic and demographic variation in COVID-19 health care demand in England and Wales

BMC Medicine

2020/12

Scaling Up Firms in Entrepreneurial Ecosystems: Fintech and Lawtech Ecosystems Compared

Available at SSRN 3520533

2020

Mari Sako
Mari Sako

H-Index: 24

Mark Verhagen
Mark Verhagen

H-Index: 5

See List of Professors in Mark Verhagen University(University of Oxford)