Living Standards Measurement Study (LSMS)
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Household, health and living-standards surveys of low- and middle-income countries.
Key findings#
- From Nov 2023 to Oct 2026, 121 archived papers mentioned Living Standards Measurement Study (LSMS) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2026 (9).
- Living Standards Measurement Study (LSMS) was mentioned in 7 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #43 of the 246 datasets mentioned.
- By journal category: Operations Research (2), Economics (2), Statistics (1), AI (1) and Health Economics and Policy (1).
- Most of them appeared in Operations Management Research (1), Journal of Statistical Theory and Practice (1) and Pattern Recognition (1).
- From 2017 to 2026 (so far), Living Standards Measurement Study (LSMS) was mentioned in 137 papers in the tracked journals, most of them in economics (66), AI (30) and operations research (14).
- 38 of them were published in 2025, against 1 in 2017.
- Since 2023, the institutions with the most of these papers were World Bank (7), Technical University of Munich (4) and Centre National de la Recherche Scientifique (3).
- The journals publishing most of them were World Development (9), Food Policy (9) and IEEE Transactions on Pattern Analysis and Machine Intelligence (5).
- The most-cited of them is “A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification” (Artificial Intelligence Review, 2024), with 133 citations.
- Papers use Living Standards Measurement Study (LSMS) most often with Facebook (12), Twitter / X (7) and World Development Indicators (World Bank) (7); it has 15 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.
Mentions over 36 months#
| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---|---|---|---|
| 45 | 38 | 38 | 121 |
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| Economics | 1 | 0 | 2 | 2 | 1 | 3 | 7 | 15 | 22 | 13 |
| AI | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 15 | 7 | 7 |
| Operations Research | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 5 |
| Health Economics and Policy | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 5 | 1 | 2 |
| Statistics | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 |
| Management | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 1 |
| Finance | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
| Higher Education and Research | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
| Information Systems | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| Tourism and Hospitality | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 1 | 0 | 2 | 3 | 1 | 4 | 11 | 45 | 38 | 32 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | World Development | 9 |
| 2 | Food Policy | 9 |
| 3 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 5 |
| 4 | Artificial Intelligence Review | 5 |
| 5 | Resources Policy | 5 |
| 6 | Journal Of Big Data | 5 |
| 7 | Land Use Policy | 4 |
| 8 | Journal of Development Economics | 4 |
| 9 | Transportation | 3 |
| 10 | Annals of Operations Research | 3 |
| # | Institution | Papers |
|---|---|---|
| 1 | World Bank | 7 |
| 2 | Technical University of Munich | 4 |
| 3 | Centre National de la Recherche Scientifique | 3 |
| 4 | Chinese Academy of Sciences | 3 |
| 5 | Institute of Automation | 3 |
| 6 | International Food Policy Research Institute | 3 |
| 7 | North-West University | 3 |
| 8 | Pontificia Universidad Católica de Chile | 3 |
| 9 | Sapienza University of Rome | 3 |
| 10 | Tsinghua University | 3 |
| # | Country | Papers |
|---|---|---|
| 1 | United States | 31 |
| 2 | United Kingdom | 22 |
| 3 | China | 18 |
| 4 | Germany | 15 |
| 5 | Italy | 13 |
| 6 | Spain | 10 |
| 7 | South Africa | 8 |
| 8 | Australia | 7 |
| 9 | France | 7 |
| 10 | Canada | 5 |
| # | Keyword | Papers |
|---|---|---|
| 1 | Nigeria | 10 |
| 2 | smallholder farmers | 10 |
| 3 | sub-Saharan Africa | 9 |
| 4 | Ethiopia | 7 |
| 5 | Malawi | 7 |
| 6 | food security | 7 |
| 7 | COVID-19 pandemic | 5 |
| 8 | agricultural productivity | 5 |
| 9 | climate shocks | 5 |
| 10 | Tanzania | 4 |
Most-cited papers#
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 133 | 5.4 | A comprehensive investigation of multimodal deep learning fusion strategies for breast cancer classification | Artificial Intelligence Review | 2024-10-12 | Fatima-Zahrae Nakach, Ali Idri, Evgin Göçeri |
| 2 | 129 | 2.1 | Viewpoint: High-frequency phone surveys on COVID-19: Good practices, open questions | Food Policy | 2021-08-31 | Sydney Gourlay, Talip Kilic, Antonio Martuscelli et al. |
| 3 | 104 | 0.9 | Agriculture in Africa – Telling myths from facts: A synthesis | Food Policy | 2017-02-01 | Luc Christiaensen |
| 4 | 85 | 0.9 | Female labor outcomes and large-scale agricultural land investments: Macro-micro evidencefrom Tanzania | Land Use Policy | 2019-01-23 | Evans S. C. Osabuohien, Uchenna Efobi, Raoul T. Herrmann et al. |
| 5 | 71 | 1.0 | Recall length and measurement error in agricultural surveys | Food Policy | 2020-12-01 | Philip Randolph Wollburg, Marco Tiberti, Alberto Zezza |
Used together with#
| Used with | Type | Papers using both | Lift |
|---|---|---|---|
| Dataset | 12 | 1.4 | |
| Twitter / X | Dataset | 7 | 0.6 |
| World Development Indicators (World Bank) | Dataset | 7 | 2.6 |
| YouTube / TikTok | Dataset | 5 | 0.9 |
| Demographic and Health Surveys (DHS) | Dataset | 4 | 3.5 |
| International Energy Agency (IEA) | Dataset | 4 | 1.5 |
| MODIS | Dataset | 4 | 3.4 |
| Afrobarometer / Latinobarometro | Dataset | 3 | 12.3 |
| CRU climate data | Dataset | 3 | 33.3 |
| ERA5 reanalysis | Dataset | 3 | 9.7 |
| Global Findex | Dataset | 3 | 7.3 |
| ImageNet | Dataset | 3 | 0.4 |
| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-29 | Learning from sustainability pioneers: Drivers and barriers of sustainable manufacturing adoption in German industry | Operations Management Research | Sebastian Beiner, Steffen Kinkel | Karlsruhe University of Applied Sciences |
| 2026-10-28 | Distributional Properties of Gold and Bitcoin Returns Across Crisis Regimes: A Comparative Analysis | Journal of Statistical Theory and Practice | Priyanka Nagar, Luca A. Gabin, Keotshepile Mandona | Stellenbosch University |
| 2026-10-26 | Nonlocal low-rank tensor network decomposition for seismic data noise suppression | Pattern Recognition | Sirui Pan, Zhiyuan Zha, Shigang Wang et al. | Jilin University; Xinjiang University; Tsinghua University; … |
| 2026-10-21 | Responsible AI-driven decision-making for fair and efficient continuity of care among older adults | Omega | Somayeh Ghazalbash, Manaf Zargoush, Vedat Verter et al. | McMaster University; Queen's University; Northeastern University |
| 2026-10-21 | The impact of regional growth on internal migration: a district-level analysis for Malawi | World Development | Mauro Lanati, Rainer Thiele | University of Florence; Kiel Institute for the World Economy; Christian-Albrechts-Universität zu Kiel |
| 2026-10-15 | Gas flaring, agricultural productivity and labor reallocation: Evidence from Nigeria | Journal of Development Economics | Arinze Nwokolo | Pan-Atlantic University |
| 2026-10-07 | Building climate-resilient health systems for the displaced: health information systems and the statistical invisibility of climate-related mobility in sub-Saharan Africa | Health Policy OPEN | R. Leone, Y. Ouattara, Livia Tognaccini et al. | Università Cattolica del Sacro Cuore; Sapienza University of Rome; Saint Camillus International University of Health and Medical Sciences |
Cite this page
Scholar4AI. (2026). Living Standards Measurement Study (LSMS). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/living-standards-measurement-study-lsms
@misc{scholar4ai-datasets-living-standards-measurement-study-lsms,
author = {{Scholar4AI}},
title = {Living Standards Measurement Study (LSMS)},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/living-standards-measurement-study-lsms}},
urldate = {2026-11-05},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}