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Sourabh Bikas Paul

Biographic Data

ID4813019
NAMESourabh Bikas Paul
GIVEN NAMESSourabh Bikas
FAMILY NAMEPaul
SIGNATUREPAUL S B
AFFILIATIONSIndian Institute of Technology Delhi
VERIFIEDNo
TOTAL WORKS5
TOTAL CITATIONS1
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Correlates of hysterectomy in low- and middle-income countries

    Open Access•Jesty Saira Varghese, Sapna Desai et al.•ARTICLE•Journal of Global Health•2026

    Background: Hysterectomies for benign conditions have declined in recent decades in most high-income countries (HICs); however, it remains a common surgical procedure among women of reproductive age in low- and middle-income countries (LMICs). Although an expanding body of evidence has examined the factors associated with hysterectomy in HICs, evidence remains limited in LMICs. Therefore, we systematically reviewed and synthesised the existing ev…

  • Does population composition of a village influence public school quality? Evidence from rural India

    Neha Bailwal, Sourabh Paul et al.•ARTICLE•Oxford Development Studies•2025

    In this paper, we investigate whether the population composition of villages is associated with the quality of public schools in rural India. We use two parameters to assess the quality of public schools – school infrastructure and teachers’ presence. Using a recent round of Census and District Information System for Education data, we find that the caste composition of a village is associated with the quality of public schools. Villages inhabite…

  • Using Satellite Images and Deep Learning to Measure Health and Living Standards in India

    Open Access•Adel Daoud, Felipe Jordán et al.•ARTICLE•Social Indicators Research•2023•Cited by: 1•References: 51

    Using deep learning with satellite images enhances our understanding of human development at a granular spatial and temporal level. Most studies have focused on Africa and on a narrow set of asset-based indicators. This article leverages georeferenced village-level census data from across 40% of the population of India to train deep models that predicts 16 indicators of human well-being from Landsat 7 imagery. Based on the principles of transfer …

  • Political Trust, Democratic Satisfaction, and Partisanship

    Taberez Ahmed Neyazi, Burhanuddin Muhtadi et al.•ARTICLE•Asian Survey•2022•References: 35

    How does economic hardship during a crisis affect people’s evaluation of the political leadership? In this paper, we investigate how the negative impact of an exogenous event like COVID-19 interacts with other important phenomena which influence leadership approval, such as partisanship, political trust, and satisfaction with democracy. Using a nationally representative survey in Indonesia (N = 1,200), we show that economic hardship does not unif…

  • India’s calorie consumption puzzle

    Open Access•Gautam Hazarika, Sourabh Paul et al.•ARTICLE•Empirical Economics•2021

  • Using Satellite Images and Deep Learning to Measure Health and Living Standards in India

    Open Access•Adel Daoud, Felipe Jordán et al.•ARTICLE•Social Indicators Research•2023•Cited by: 1•References: 51

    Using deep learning with satellite images enhances our understanding of human development at a granular spatial and temporal level. Most studies have focused on Africa and on a narrow set of asset-based indicators. This article leverages georeferenced village-level census data from across 40% of the population of India to train deep models that predicts 16 indicators of human well-being from Landsat 7 imagery. Based on the principles of transfer …

  • India’s calorie consumption puzzle

    Open Access•Gautam Hazarika, Sourabh Paul et al.•ARTICLE•Empirical Economics•2021

  • Political Trust, Democratic Satisfaction, and Partisanship

    Taberez Ahmed Neyazi, Burhanuddin Muhtadi et al.•ARTICLE•Asian Survey•2022•References: 35

    How does economic hardship during a crisis affect people’s evaluation of the political leadership? In this paper, we investigate how the negative impact of an exogenous event like COVID-19 interacts with other important phenomena which influence leadership approval, such as partisanship, political trust, and satisfaction with democracy. Using a nationally representative survey in Indonesia (N = 1,200), we show that economic hardship does not unif…

  • Using Satellite Images and Deep Learning to Measure Health and Living Standards in India

    Open Access•Adel Daoud, Felipe Jordán et al.•ARTICLE•Social Indicators Research•2023•Cited by: 1•References: 51

    Using deep learning with satellite images enhances our understanding of human development at a granular spatial and temporal level. Most studies have focused on Africa and on a narrow set of asset-based indicators. This article leverages georeferenced village-level census data from across 40% of the population of India to train deep models that predicts 16 indicators of human well-being from Landsat 7 imagery. Based on the principles of transfer …

  • Does population composition of a village influence public school quality? Evidence from rural India

    Neha Bailwal, Sourabh Paul et al.•ARTICLE•Oxford Development Studies•2025

    In this paper, we investigate whether the population composition of villages is associated with the quality of public schools in rural India. We use two parameters to assess the quality of public schools – school infrastructure and teachers’ presence. Using a recent round of Census and District Information System for Education data, we find that the caste composition of a village is associated with the quality of public schools. Villages inhabite…

  • Correlates of hysterectomy in low- and middle-income countries

    Open Access•Jesty Saira Varghese, Sapna Desai et al.•ARTICLE•Journal of Global Health•2026

    Background: Hysterectomies for benign conditions have declined in recent decades in most high-income countries (HICs); however, it remains a common surgical procedure among women of reproductive age in low- and middle-income countries (LMICs). Although an expanding body of evidence has examined the factors associated with hysterectomy in HICs, evidence remains limited in LMICs. Therefore, we systematically reviewed and synthesised the existing ev…

Economics (3 works) · Geography (3 works) · Agricultural risk and resilience (2 works) · Development economics (2 works) · Medicine (2 works) · Political science (2 works) · Population (2 works) · Affect (linguistics (1 works) · Agricultural Economics and Practices (1 works) · Artificial Intelligence (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae