Publications

I try to keep this list up-to-date but sometimes I forget about it. Machines seem to do a better job in organizing my contributions so you are welcome to consult my Google Scholar profile. You can find copies of my papers on my ResearchGate page (when license restrictions allow). Feel free to email me to obtain a legal copy if for some reason you can’t find what you are looking for.

List of peer-reviewed publications (in a chronological order):

  • Hassan, M.M., Juhász, L., Southworth, J., (2019). Mapping Time-Space Brickfield Development Dynamics in Peri-Urban Area of Dhaka, Bangladesh. ISPRS International Journal of Geo-information. 8(10:): 447. [doi: 10.3390/ijgi8100447]
  • Juhász, L., Hochmair, H.H., Qiao, S., Novack, T. (2019). Exploring the Effects of Pokémon Go Vandalism on OpenStreetMap. In: Minghini, M., Grinberger, A.Y., Juhász, L., Yeboah, G., Mooney, P. (Eds.). Proceedings of the Academic Track at the State of the Map 2019. Heidelberg, Germany, 21-23 September, 2019. [doi: 10.5281/zenodo.3386533, RG]
  • Grinberger, A.Y., Minghini, M., Juhász, L., Mooney, P., Yeboah, G. (2019). Bridging the Map? Exploring Interactions between the Academic and Mapping Communities in OpenStreetMap. In: Minghini, M., Grinberger, A.Y., Juhász, L., Yeboah, G., Mooney, P. (Eds.). Proceedings of the Academic Track at the State of the Map 2019. Heidelberg, Germany, 21-23 September, 2019. [doi: 10.5281/zenodo.3408639, RG]
  • Juhász, L., Hochmair, H.H. (2019). Comparing the Spatial and Temporal Activity Patterns between Snapchat, Twitter, and Flickr in
    Florida. GI_Forum. 2019 (1): pp. 134-147. [doi: 10.1553/giscience2019_01_s134RG]
  • Hochmair, H.H., Juhász, L. (2019). Analysis of Flickr, Snapchat, and Twitter use for the modeling of visitor activity in Florida State Parks. Geospatial Technologies for Local and Regional Development – AGILE 2019. Limassol, Cyprus [RG]
  • Matthews, A., Hochmair, H.H., Strelnikova, D., Juhász, L. (2019). Comparing the Characteristics of Bicycle Trips between Endomondo, Google Maps, and MapQuest. Transportation Research Board – 98th Annual Meeting, Washington, D.C. [RG]
  • Juhász, L. and Hochmair, H. H. (2018). Cross-checking user activities in multiple geo-social media networks. 21st AGILE Conference on Geo-information Science. Lund, Sweden [RG]
  • Juhász, L. and Hochmair H. H. (2018). Analyzing the spatial and temporal dynamics of Snapchat. VGI-ALIVE pre-conference workshop. AGILE 2018. June 12, 2018. Lund, Sweden [RG]
  • Juhász, L. and Hochmair, H. H. (2018). OSM Data Import as an Outreach Tool to Trigger Community Growth? A Case Study in Miami. ISPRS International Journal of Geo-Information. 7 (3): 113. [doi: 10.3390/ijgi7030113RG]
  • Hochmair, H.H., Juhász, L., and Cvetojevic, S. (2018). Data Quality of Points of Interest in Selected Mapping and Social Media Platforms. In Kiefer P., Huang H., Van de Weghe N., Raubal M. (Eds.) Progress in Location Based Services 2018. LBS 2018. Lecture Notes in Geoinformation and Cartography (pp. 293-313) Berlin: Springer. [doi: 10.1007/978-3-319-71470-7_15RG]
  • Juhász, L. and Hochmair, H. H. (2017). Where to catch ‘em all? – a geographic analysis of Pokémon Go locations. Geo-spatial Information Science. 20 (3): pp. 241-251 [doi: 10.1080/10095020.2017.1368200RG]
  • Juhász, L. and Hochmair, H. H. (2017). How do volunteer mappers use crowdsourced Mapillary street level images to enrich OpenStreetMap? 20th AGILE Conference on Geographic Information Science. Wageningen, The Netherlands [RG]
  • Juhász, L., Rousell, A., Jokar Arsanjani, J. (2016). Technical Guidelines to Extract and Analyze VGI from Different Platforms. Data. 1(3):15. [doi: 10.3390/data1030015RG]
  • Juhász, L. and Hochmair, H.H. (2016). User Contribution Patterns and Completeness Evaluation of Mapillary, a Crowdsourced Street Level Photo Service. Transactions in GIS. 20 (6): pp. 925–947  [doi: 10.1111/tgis.12190RG]
  • Cvetojevic, S., Juhász, L. and Hochmair H. H. (2016). Positional Accuracy of Twitter and Instagram Images in Urban Environments. GI_Forum, 2016 (1), pp. 191-203 [doi: 10.1553/giscience2016_01_s191RG]
  • Juhász, L. and Hochmair, H. H. (2016). Cross-linkage between Mapillary Street Level Photos and OSM Edits. In T. Sarjakoski, M. Y. Santos, L. T. Sarjakoski (Eds.), Geospatial Data in a Changing World – Lecture Notes in Geoinformation and Cartography (pp. 141-156). Berlin: Springer. [doi: 10.1007/978-3-319-33783-8_9RG]
  • Juhász, L., Podolcsák, Á., Dolleschall, J. (2016). Open Source Web GIS Solutions in Disaster Management – with Special Emphasis on Inland Excess Water Modeling. Journal of Environmental Geography, 9 (1–2), pp. 15–21 [doi: 10.1515/jengeo-2016-0003RG]
  • Juhász, L. and Hochmair, H. H. (2015). Exploratory Completeness Analysis of Mapillary for Selected Cities in Germany and Austria. In A. Car, T. Jekel, J. Strobl and G. Griesebner (Eds.), GI_Forum 2015 – Geospatial Minds for Society (pp. 535-545). Berlin/Offenbach: Wichmann [doi: 10.1553/giscience2015s535RG]
  • Szatmári J., Kovács F, van Leeuwen B, Tobak Z, Mezősi G, Mucsi L, Juhász L, Huszár T, Kitka G 2014: Térinformatika a katasztrófa-védelem szolgálatában (GIS for disaster management). In. MÁRKUS B (Ed): Térinformatika 2014: 20 éves a Térinformatika Tanszék. Székesfehérvár, Hungary, 2014.12.15. pp. 375-390 (In Hungarian) [link(ISBN:  978-615-5460-27-2)
  • Juhász, L. (2013) Management of Inland Excess Water: prevention, protection and remediation. In Szatmári József, Boudewijn van Leeuwen (Eds.), Inland Excess Water – Belvíz – Suvišne Unutrašnje Vode. Szeged, Hungary, Novi Sad, Serbia. University of Szeged; University of Novi Sad(ISBN: 978-963-306-263-0; 978-86-7031-338-5) [doi: 10.13140/2.1.5143.3920RG]