Publications

2026

  1. Juhász, L., Garba, N. A., Moise, I. K., Bhoite, P. B., Clark, C., Clarke, R. D., Kikuchi-Stuver, N., & Brown, D. R. (2026). The detection paradox: How COVID-19 surveillance patterns shifted from lower-income to more affluent neighborhoods in Miami-Dade County. PLOS ONE. DOI: 10.1371/journal.pone.0361211
  2. Gwanzura, T. N. R., Trepka, M. J., Li, T., Juhász, L., Barreto, G. A., Burchfield, S., & Sheehan, D. M. (2026). COVID-19 mortality risk among people with HIV in florida before and after the introduction of COVID-19 vaccines: A population-based study. PLOS ONE, 21(9), 1–15. Public Library of Science. DOI: 10.1371/journal.pone.0358543. [pdf]
  3. Juhász, L., Hochmair, H. H., & Li, H. (2026). Continued advances in AI-driven geospatial analysis and data generation (editorial). ISPRS International Journal of Geo-Information, 15(9), 389. DOI: 10.3390/ijgi15090389
  4. Juhász, L. (2026a). Accelerating point-in-polygon predicates via algebraic hash-joins and discrete global grids at scale: An interactive benchmark. In Proceedings of the 34th ACM SIGSPATIAL international conference on advances in geographic information systems. Riverside, CA. DOI: 10.48550/arXiv.2607.08956
  5. Guan, B., Cui, W., & Juhász, L. (2026). A dual-helix governance approach towards reliable agentic artificial intelligence for WebGIS development. Transactions in GIS, 30(6), e70402. DOI: 10.1111/tgis.70402. [pdf]
  6. Mooney, P., Gorry, P., & Juhász, L. (2026). Integrating LLM-based workflows into GIS classroom learning activities. In H. Huang & N. Van de Weghe (Eds.), Proceedings of the 1st international conference on geospatial artificial intelligence (GeoAI 2026). Ghent, Belgium. DOI: 10.5281/zenodo.20287050. [pdf]
  7. Juhász, L. (2026b). Discrete global grid systems as a framework for geometrically rigorous and spatially explicit GeoAI: A research agenda. In Workshop on critical challenges of GeoAI, arizona state university. Tempe, AZ. DOI: 10.5281/zenodo.18471033. [pdf]

2024

  1. Juhász, L. (2024). Assessing publication trends in selected GIScience journals. International Journal of Geographical Information Science. DOI: 10.1080/13658816.2024.2347306. [pdf]