• Jiang B. and Miao Y. (2014, accepted), The evolution of natural cities from the perspective of location-based social media, The Professional Geographer, xx(xx), xx-xx. Preprint: http://arxiv.org/abs/1401.6756
  • Jiang B. (2014, accepted), Geospatial analysis requires a different way of thinking: The problem of spatial heterogeneity, GeoJournal, xx(x), xx-xx, DOI: 10.1007/s10708-014-9537-y. Preprint: http://arxiv.org/abs/1401.5889
  • Contribution at the Crisis Management Days – 7th International Scientific Symposium, 22-23 May 2014, Zagreb, hotel Aristos, Croatia, organized by University of Applied Sciences Velika Gorica, Velika Gorica, Croatia: VOLUNTEERED GEOGRAPHIC INFORMATION FOR CRISIS MANAGEMENT Authors: HRVOJE BELANI, IGOR LJUBI a href=”http://www.dku.hr/program-konferencije-3/?lang=en” target=”_blank”>http://www.dku.hr/program-konferencije-3/?lang=en
  • Jokar Arsanjani J., and Mooney, P., (2014: under review): Comparative assessment of the collaboratively collected land-use features in OpenStreetMap versus authoritative datasets
  • Jokar Arsanjani, J., Mooney, P., Helbich, M., Zipf, A., (2014): An exploration of future patterns of the contributions to OpenStreetMap: The development of a Contribution Index and a case study
  • Szabó R., Farkas K., Lendak I., et al.: “Framework for Smart City Applications Based on Participatory Sensing”; In Proceedings of the 4th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2013); Budapest, Hungary; December, 2013.; pp. 295-300; ISBN: 978-1-4799-1544-6
  • Lendák I., Major T., Pelle V. & Farkas K. (2014), Szimulációs környezet közösségi érzékelésen alapuló okos város alkalmazások vizsgálatára“, (Title in English: Simulation environment for Smart City crowdsensing application analysis), Vajdasági Magyar Tudóstalálkozó, Subotica, Serbia.
  • Lendák I. & Farkas K. (2013), „Közösségi érzékelés az okos városokban“, (Title in English: Crowdsensing in Smart Cities), Vajdasági Magyar Tudományos Társaság „A Magyar Tudomány Napja a Délvidéken – 2013“, Novi Sad, Serbia.
  • Working paper Action 1203 and TD1206 on “a Glossary on Volunteered Geographic information” (L.See and C.Capineri)
  • Proceedings: Eighth International Space Syntax Symposium Edited by M. Greene, J. Reyes and A. Castro. Santiago de Chile: PUC, 2012. TIME USE AND MOVEMENT BEHAVIOUR OF YOUNG PEOPLE IN CITIES. The application of GPS tracking in tracing movement pattern of young people for a week in Aalborg  (H.Harder and C.Reinau)
  • The shoemaker’s son always goes barefoot: Implementations of GPS and other tracking technologies for geographic research, Geoforum, 51, 2014 (Kristian H. Reinau Henrik Harder)
  • Teobaldi M., Capineri C., Experiential tourism and city attractivness in Tuscany, Rivista Geografica Italiana, 121 (2014), pp. 259-274.
  • K. Farkas, I. Lendák: “Simulation Environment for Investigating Crowd-sensing Based Urban Parking”, in Proceedings of the 4th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS 2015); Budapest, Hungary; June, 2015.; pp. 1-8; DOI: dx.doi.org/10.1109/MTITS.2015.7223274 ISBN 978-963-313-142-8
  • I. Lendák, K. Farkas: “Evaluation of simulation engines for crowdsensing activities”, in Proceedings of the 3rd International Conference & Workshop Mechatronics in Practice and Education (MECHEDU 2015); Subotica, Serbia; May, 2015.; pp. 82-87; <; ISBN 978-86-918815-0-4
  • Ballatore, A., & Mooney, P. (2015). Conceptualising the geographic world: the dimensions of negotiation in crowdsourced cartography. International Journal of Geographical Information Science, (in press), 1-18. http://eprints.cdlib.org/uc/item/4hr9t5zp
  • Graham, Mark, and Stefano De Sabbata. “Mapping Information Wealth and Poverty: The Geography of Gazetteers.” Graham, M. and De Sabbata, S 2016 (2015).
  • Capineri, C., Haklay, M., Huang, H., Antoniou, V., Kettunen, J., Ostermann, F., & Purves, R. (2016). European Handbook of Crowdsourced Geographic Information.
  • Minghini, M., Prestifilippo, G., Brovelli, M. A., & Mooney, P. An open source procedure to assess the quality of the OpenStreetMap road network. http://www.citizensensor-cost.eu/wp-content/uploads/2016/10/OSMRoadPoster.pdf
  • Fonte, C., Minghini, M., Antoniou, V., See, L., Patriarca, J., Brovelli, M., & Milcinski, G. (2016). Automated methodology for converting OSM data into a land use/cover map. http://pure.iiasa.ac.at/13152/1/An%20automated%20methodology%20for%20converting%20OSM%20data%20into%20a%20landuse%20cover%20map.pdf
  • Brovelli, M. A., Minghini, M., Molinari, M., & Mooney, P. (2016). Towards an automated comparison of OpenStreetMap with authoritative road datasets. Transactions in GIShttps://www.researchgate.net/profile/Marco_Minghini/publication/298296464_Towards_an_Automated_Comparison_of_OpenStreetMap_with_Authoritative_Road_Datasets/links/56e7c9e108ae4c354b1d001a.pdf
  • Lendák, Imre, and Károly Farkas. “Evaluation of simulation engines for crowdsensing activities.” (2015): 82-87. http://real.mtak.hu/26255/1/MECHEDU_2015-paper_published.pdf
  • Šumrada, R. (2013). Prostovoljno množično zajemanje prostorskih podatkov. Geodetski vestnik57(4), 691-701. http://drugg.fgg.uni-lj.si/4591/1/gv57-4_sumrada_kd.pdf
  • Lemmens, R., Falquet, G., & Métral, C. Towards Linked Data and ontology development for the semantic enrichment of volunteered geo-information.
  • Mifsud, Janet, and Claire Bellia. “COST: Matchmaking for Researchers.” Xjenza-Online 2013 (2013): 75.
  • Attard, Maria, Muki Haklay, and Cristina Capineri. “The potential of volunteered geographic information (VGI) in future transport systems.”Urban Planning 1.4 (2016). https://scholar.google.it/scholar?q=IC1203+COST+ENERGIC&btnG=&hl=it&as_sdt=0%2C5
  • Fonte, Cidália, et al. “Automated methodology for converting OSM data into a land use/cover map.” (2016).
  • Minghini, Marco, et al. “An open source procedure to assess the quality of the OpenStreetMap road network.”
  • Berre, Arne J., Sven Schade, and Dumitru Roman. “Environmental Infrastructures and Platforms with Citizens Observatories and Linked Open Data.” International Symposium on Environmental Software Systems. Springer Berlin Heidelberg, 2013.
  • Farkas, K., & Lendák, I. (2015, June). Simulation environment for investigating crowd-sensing based urban parking. In Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015 International Conference on (pp. 320-327). IEEE.
  • Lauriault, T. P., & Mooney, P. (2014). Crowdsourcing: A geographic approach to public engagement.
  • Craglia, M., & Granell, C. (2014). Citizen Science and Smart Cities. European Commission: Luxembourg, 54.
  • Distefano, Salvatore, Giovanni Merlino, and Antonio Puliafito. “Mobiles for sensing clouds: the SAaaS4Mobile experience.” Scalable Computing: Practice and Experience 14.4 (2014): 215-233.
  • Antoniou, V., Skopeliti, A., Fonte, C., See, L., & Alvanides, S. (2016). Using OSM, Geo-tagged Flickr photos and authoritative data: A quality perspective.
  • Jokar Arsanjani, Jamal, Linda See, and Amin Tayyebi. “Assessing the suitability of GlobeLand30 for mapping land cover in Germany.” International Journal of Digital Earth 9.9 (2016): 873-891.
  • Ali, A. L., Sirilertworakul, N., Zipf, A., & Mobasheri, A. (2016). Guided Classification System for Conceptual Overlapping Classes in OpenStreetMap. ISPRS International Journal of Geo-Information, 5(6), 87.
  • Gómez-Barrón, J. P., Manso-Callejo, M. Á., Alcarria, R., & Iturrioz, T. (2016). Volunteered Geographic Information System Design: Project and Participation Guidelines. ISPRS International Journal of Geo-Information,5(7), 108.
  • Lemmens, R., Falquet, G., Metral, C. (2016) Towards Linked Data and ontology development for the semantic enrichment of volunteered geo-information. In proc. Link-VGI Workshop at the AGILE 2016 Conf., Helsinki, Finland, June 14th 2016.
  • Capineri, Cristina. “Kilburn High Road Revisited.” Urban Planning 1.2 (2016).
  • Capineri, C., Haklay, M., Huang, H., Antoniou, V., Kettunen, J., Ostermann, F., & Purves, R. (2016). European Handbook of Crowdsourced Geographic Information.