| A review of urban air pollution monitoring and exposure assessment methods X Xie, I Semanjski, S Gautama, E Tsiligianni, N Deligiannis, RT Rajan, ... ISPRS International Journal of Geo-Information 6 (12), 389, 2017 | 208 | 2017 |
| How to Monitor Sustainable Mobility in Cities? Literature Review in the Frame of Creating a Set of Sustainable Mobility Indicators D Gillis, I Semanjski, D Lauwers Sustainability 8 (1), 29, 2015 | 140 | 2015 |
| Use of Supervised Machine Learning for GNSS Signal Spoofing Detection with Validation on Real-World Meaconing and Spoofing Data—Part I—Part II S Semanjski, I Semanjski, W De Wilde, S Gautama Sensors 20 (7), 1806, 2020 | 83 | 2020 |
| Smart City Mobility Application—Gradient Boosting Trees for Mobility Prediction and Analysis Based on Crowdsourced Data I Semanjski, S Gautama Sensors 15 (7), 15974-15987, 2015 | 72 | 2015 |
| The future of intelligent transport systems GJ Dimitrakopoulos, L Uden, I Varlamis Elsevier, 2020 | 70 | 2020 |
| Spatial context mining approach for transport mode recognition from mobile sensed big data I Semanjski, S Gautama, R Ahas, F Witlox Computers, Environment and Urban Systems 66, 38-52, 2017 | 70 | 2017 |
| Use and Validation of Supervised Machine Learning Approach for Detection of GNSS Signal Spoofing S Semanjski, I Semanjski, W De Wilde, A Muls 2019 INTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS (ICL-GNSS), 2019 | 68 | 2019 |
| Use and Validation of Supervised Machine Learning Approach for Detection of GNSS Signal Spoofing S Semanjski, A Muls, I Semanjski, WD Wilde 2019 International Conference on Localization and GNSS (ICL-GNSS), 2019 | 68 | 2019 |
| Policy 2.0 Platform for Mobile Sensing and Incentivized Targeted Shifts in Mobility Behavior I Semanjski, AJ Lopez Aguirre, J De Mol, S Gautama Sensors 16 (7), 1035, 2016 | 61 | 2016 |
| Integrating big data into a sustainable mobility policy 2.0 planning support system I Semanjski, R Bellens, S Gautama, F Witlox Sustainability 8 (11), 1142, 2016 | 48 | 2016 |
| Crowdsourcing mobility insights – Reflection of attitude based segments on high resolution mobility behaviour data I Semanjski, S Gautama Transportation Research Part C: Emerging Technologies 71, 434–446, 2016 | 38 | 2016 |
| Unsupervised hierarchical clustering approach for tourism market segmentation based on crowdsourced mobile phone data J Rodríguez, I Semanjski, S Gautama, N Van de Weghe, D Ochoa Sensors 18 (9), 2972, 2018 | 32 | 2018 |
| A collaborative stakeholder decision-making approach for sustainable urban logistics I Semanjski, S Gautama Sustainability 11 (1), 234, 2019 | 29 | 2019 |
| Forecasting the state of health of electric vehicle batteries to evaluate the viability of car sharing practices I Semanjski, S Gautama Energies 9 (12), 1025, 2016 | 28 | 2016 |
| Location planning approach for intermodal terminals in urban and suburban rail transport M Petrović, T Josip Mlinarić, I Šemanjski Promet-Traffic&Transportation 31 (1), 101-111, 2019 | 27 | 2019 |
| Smart mobility I Šemanjski, S Mandžuka, S Gautama 2018 International Symposium ELMAR, 63-66, 2018 | 26 | 2018 |
| Urban mobility and city logistics–Trends and case study R Rezende Amaral, I Šemanjski, S Gautama, EH Aghezzaf Promet-Traffic&Transportation 30 (5), 613-622, 2018 | 24 | 2018 |
| Hybrid approach for urban roads classification based on GPS tracks and road subsegments data I Ćavar, Z Kavran, M Petrović Promet-Traffic&Transportation 23 (4), 289-296, 2011 | 24 | 2011 |
| Urban air mobility: A state of art analysis D Gillis, M Petri, A Pratelli, I Semanjski, S Semanjski Computational Science and Its Applications–ICCSA 2021: 21st International …, 2021 | 20 | 2021 |
| Assessment of smartphone positioning data quality in the scope of citizen science contributions AJ Lopez, I Semanjski, S Gautama, D Ochoa Mobile Information Systems 2017 (1), 4043237, 2017 | 19 | 2017 |
Sidharta GautamaUniversiteit GentPotvrđena adresa e-pošte na ugent.be
