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Social Sciences and Humanities

D-Index
57
Citations
11894
World Ranking
1798
National Ranking
69

Overview

Marco Helbich is affiliated with Utrecht University in the Netherlands and has a research focus spanning environmental science and social sciences. Their scholarship notably intersects with the fields of health, toxicology and mutagenesis, transportation, speech and hearing, and global and planetary change. The main thematic areas addressed in their work include urban green space and health, urban transport and accessibility, noise effects and management, air quality and health impacts, health disparities and outcomes, urban heat island mitigation, and climate change and health impacts.

Helbich's research contributions have appeared extensively in several academic journals. The most frequent publication venues include:

  • Environmental Research
  • The Science of The Total Environment
  • Health & Place
  • Landscape and Urban Planning
  • Environment International

Among their most cited recent papers are:

  • "Psychological impacts from COVID-19 among university students: Risk factors across seven states in the United States" (2021, PLoS ONE)
  • "Nature's contributions in coping with a pandemic in the 21st century: A narrative review of evidence during COVID-19" (2022, The Science of The Total Environment)
  • "Greenspace and park use associated with less emotional distress among college students in the United States during the COVID-19 pandemic" (2021, Environmental Research)
  • "Transportation noise exposure and anxiety: A systematic review and meta-analysis" (2020, Environmental Research)
  • "Can't see the wood for the trees? An assessment of street view- and satellite-derived greenness measures in relation to mental health" (2021, Landscape and Urban Planning)

Helbich frequently collaborates with several researchers, including:

  • Dick Ettema
  • Matthew H. E. M. Browning
  • S.M. Labib
  • Angel M. Dzhambov
  • Mark Nieuwenhuijsen

The body of work produced by Marco Helbich demonstrates a multidisciplinary approach, integrating environmental and social science perspectives to explore issues concerning health outcomes, urban environments, and the impact of transport and noise on populations. Their investigations into pandemic-related psychological impacts, urban greenspaces, and environmental noise effects contribute to ongoing dialogues regarding public health and environmental management in urban settings.

Best Publications

  • Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion

    Jamal Jokar Arsanjani;Marco Helbich;Wolfgang Kainz;Ali Darvishi Boloorani

  • Psychological impacts from COVID-19 among university students: Risk factors across seven states in the United States.

    Matthew H. E. M. Browning;Lincoln R. Larson;Iryna Sharaievska;Alessandro Rigolon

  • Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China.

    Marco Helbich;Yao Yao;Ye Liu;Jinbao Zhang

  • Spatiotemporal urbanization processes in the megacity of Mumbai, India: A Markov chains-cellular automata urban growth model

    Hossein Shafizadeh Moghadam;Hossein Shafizadeh Moghadam;Marco Helbich

  • A comparative study of machine learning classifiers for modeling travel mode choice

    Julian Hagenauer;Marco Helbich

  • Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures.

    Ruoyu Wang;Marco Helbich;Yao Yao;Jinbao Zhang

  • Spatiotemporal simulation of urban growth patterns using agent-based modeling: The case of Tehran

    Jamal Jokar Arsanjani;Marco Helbich;Eric de Noronha Vaz

  • Toward dynamic urban environmental exposure assessments in mental health research

    Marco Helbich

  • Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria

    Marco Helbich;Wolfgang Brunauer;Eric Vaz;Peter Nijkamp

  • Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands

    Lars Böcker;Patrick van Amen;Marco Helbich

  • Exploring urban metabolism—Towards an interdisciplinary perspective

    Martin Dijst;Ernst Worrell;Lars Böcker;Paul Brunner

  • Toward mapping land-use patterns from volunteered geographic information

    Jamal Jokar Arsanjani;Marco Helbich;Mohamed Bakillah;Julian Hagenauer

  • Mining urban land-use patterns from volunteered geographic information by means of genetic algorithms and artificial neural networks

    Julian Hagenauer;Marco Helbich

  • The impact of social capital, land use, air pollution and noise on individual morbidity in Dutch neighbourhoods

    Jan Paul Zock;Robert Verheij;Marco Helbich;Beate Volker

  • Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study.

    Marco Helbich;Maarten J. Zeylmans van Emmichoven;Martin J. Dijst;Mei-Po Kwan

  • Adult active transport in the Netherlands: an analysis of its contribution to physical activity requirements.

    Elliot Fishman;Lars Böcker;Marco Helbich

  • The effect of short-term exposure to the natural environment on depressive mood: A systematic review and meta-analysis

    Hannah Roberts;Caspar van Lissa;Paulien Hagedoorn;Ian Kellar

  • Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai

    Hossein Shafizadeh-Moghadam;Hossein Shafizadeh-Moghadam;Marco Helbich;Marco Helbich

  • Geographic heterogeneity in cycling under various weather conditions: evidence from Greater Rotterdam

    Marco Helbich;Lars Böcker;Martin Dijst

  • OpenStreetMap in GIScience: Experiences, Research, and Applications

    Jamal Jokar Arsanjani;Alexander Zipf;Peter Mooney;Marco Helbich

  • An Introduction to OpenStreetMap in Geographic Information Science: Experiences, Research, and Applications

    Jamal Jokar Arsanjani;Alexander Zipf;Peter Mooney;Marco Helbich

  • Geospatial examination of lithium in drinking water and suicide mortality

    Marco Helbich;Michael Leitner;Nestor D Kapusta

  • More green space is related to less antidepressant prescription rates in the Netherlands: A Bayesian geoadditive quantile regression approach

    Marco Helbich;Nadja Klein;Hannah Roberts;Paulien Hagedoorn

Frequent Co-Authors

Martin Dijst
Martin Dijst Luxembourg Institute of Socio-Economic Research (LISER)
Mei-Po Kwan
Mei-Po Kwan Chinese University of Hong Kong
Peter P. Groenewegen
Peter P. Groenewegen Netherlands Institute for Health Services Research
Gerard Hoek
Gerard Hoek Utrecht University
Nestor D. Kapusta
Nestor D. Kapusta Medical University of Vienna
Bryan C. Pijanowski
Bryan C. Pijanowski Purdue University West Lafayette
Derek de Beurs
Derek de Beurs University of Amsterdam
Paul L. Plener
Paul L. Plener Medical University of Vienna
Rory C. O'Connor
Rory C. O'Connor University of Glasgow
Jörg M. Fegert
Jörg M. Fegert University of Ulm

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