| Cybersickness provoked by head-mounted display affects cutaneous vascular tone, heart rate and reaction time E Nalivaiko, SL Davis, KL Blackmore, A Vakulin, KV Nesbitt Physiology & behavior 151, 583-590, 2015 | 267 | 2015 |
| Profiling subjective symptoms and autonomic changes associated with cybersickness AM Gavgani, KV Nesbitt, KL Blackmore, E Nalivaiko Autonomic Neuroscience 203, 41-50, 2017 | 234 | 2017 |
| Correlating reaction time and nausea measures with traditional measures of cybersickness K Nesbitt, S Davis, K Blackmore, E Nalivaiko Displays 48, 1-8, 2017 | 150 | 2017 |
| Recent trends in academic journal growth X Gu, KL Blackmore Scientometrics 108, 693-716, 2016 | 106 | 2016 |
| Verifying the Miles and Snow strategy types in Australian small-and medium-size enterprises K Blackmore, K Nesbitt Australian Journal of Management 38 (1), 171-190, 2013 | 94 | 2013 |
| An insight into headland sand bypassing and wave climate variability from shoreface bathymetric change at Byron Bay, New South Wales, Australia ID Goodwin, R Freeman, K Blackmore Marine Geology 341, 29-45, 2013 | 86 | 2013 |
| STEM initiatives matter: Results from a systematic review of secondary school interventions for girls E Prieto-Rodriguez, K Sincock, K Blackmore International Journal of Science Education 42 (7), 1144-1161, 2020 | 83 | 2020 |
| Models of coke quality prediction and the relationships to input variables: A review L North, K Blackmore, K Nesbitt, MR Mahoney Fuel 219, 446-466, 2018 | 69 | 2018 |
| Artificial intelligence and emerging technologies (virtual, augmented and mixed reality) in schools: A research report E Southgate, K Blackmore, S Pieschl, S Grimes, J McGuire, K Smithers University of Newcastle, Australia, 2018 | 65 | 2018 |
| Methods of coke quality prediction: A review L North, K Blackmore, K Nesbitt, MR Mahoney Fuel 219, 426-445, 2018 | 57 | 2018 |
| A meta-analysis of data collection in serious games research SP Smith, K Blackmore, K Nesbitt Serious games analytics: Methodologies for performance measurement …, 2015 | 57 | 2015 |
| Artificial intelligence and emerging technologies in schools E Southgate, K Blackmore, S Pieschl, S Grimes, J McGuire, K Smithers University of Newcastle, 2019 | 55 | 2019 |
| A systematic review of agent-based modelling and simulation applications in the higher education domain X Gu, KL Blackmore Higher Education Research & Development 34 (5), 883-898, 2015 | 42 | 2015 |
| A study of factors affecting women’s lived experiences in STEM E Prieto-Rodriguez, K Sincock, R Berretta, J Todd, S Johnson, ... Humanities and Social Sciences Communications 9 (1), 1-11, 2022 | 38 | 2022 |
| Using the startle eye-blink to measure affect in players K Nesbitt, K Blackmore, G Hookham, F Kay-Lambkin, P Walla Serious games analytics: Methodologies for performance measurement …, 2015 | 34 | 2015 |
| Supportive or inhibitive?—Analysis of dynamic interactions between the inter-organisational collaborations of vehicle powertrains AM Phirouzabadi, J Juniper, D Savage, K Blackmore Journal of Cleaner Production 244, 118790, 2020 | 32 | 2020 |
| Characterisation of academic journals in the digital age X Gu, K Blackmore Scientometrics 110 (3), 1333-1350, 2017 | 32 | 2017 |
| Gender and the perception of emotions in avatars JD Bailey, KL Blackmore Proceedings of the Australasian Computer Science Week Multiconference, 1-8, 2017 | 30 | 2017 |
| Identifying risks for cross-disciplinary higher degree research students KL Blackmore, KV Nesbitt Proceedings of the tenth conference on Australasian computing education …, 2008 | 28 | 2008 |
| Data mining of missing persons data K Blackmore, T Bossomaier, S Foy, D Thomson Classification and clustering for knowledge discovery, 305-314, 2005 | 28 | 2005 |
Keith NesbittSenior Lecturer, University of NewcastleEmail verificata su newcastle.edu.au
