| Conceptual foundations of crowdsourcing: A review of IS research J Pedersen, D Kocsis, A Tripathi, A Tarrell, A Weerakoon, N Tahmasbi, ... 2013 46th Hawaii International Conference on System Sciences, 579-588, 2013 | 309 | 2013 |
| Crowdsourcing: A snapshot of published research A Tarrell, N Tahmasbi, D Kocsis, A Tripathi, J Pedersen, J Xiong, O Oh, ... AMCIS, 2013 | 58 | 2013 |
| Crowdsourcing typology: a review of is research and organizations A Tripathi, N Tahmasbi, D Khazanchi, L Najjar MWAIS, 2014 | 25 | 2014 |
| A socio-contextual approach in automated detection of public cyberbullying on Twitter N Tahmasbi, E Rastegari ACM Transactions on Social Computing 1 (4), 1-22, 2018 | 22 | 2018 |
| Participant engagement in community crowdsourcing C Nguyen, N Tahmasbi, T De Vreede, GJ De Vreede, O Oh, ... | 22 | 2015 |
| Decision-making process underlying bystanders’ helping cyberbullying victims: A behavioral economic analysis of role of social discounting Y Hayashi, N Tahmasbi Computers in human behavior 104, 106157, 2020 | 20 | 2020 |
| A socio-contextual approach in automated detection of cyberbullying N Tahmasbi, E Rastegari | 19 | 2018 |
| A sociotechnical view of information diffusion and social changes: From reprint to retweet O Oh, N Tahmasbi, HR Rao, GJ Vreede ICIS, 2012 | 15 | 2012 |
| Psychological predictors of bystanders’ intention to help cyberbullying victims among college students: An application of theory of planned behavior Y Hayashi, N Tahmasbi Journal of interpersonal violence 37 (13-14), NP11333-NP11357, 2022 | 14 | 2022 |
| Challenges and future directions of automated cyberbullying detection N Tahmasbi, A Fuchsberger | 11 | 2018 |
| Regression imputation optimizing sample size and emulation: Demonstrations and comparisons to prominent methods GF Templeton, M Kang, N Tahmasbi Decision Support Systems 151, 113624, 2021 | 10 | 2021 |
| A definition of community crowdsourcing engagement and application C Nguyen, N Tahmasbi, T de Vreede, GJ de Vreede, O Oh, ... Blurring the Boundaries Through Digital Innovation: Individual …, 2016 | 10 | 2016 |
| & De Vreede, GJ 2013:“Conceptual foundations of crowdsourcing: A review of IS research” J Pedersen, D Kocsis, A Tripathi, A Tarrell, A Weerakoon, N Tahmasbi, ... System Sciences (HICSS), 2013 46th Hawaii International Conference on, 579-588, 0 | 10 | |
| Theoretical fashions in crowdsourcing: A snapshot of IS research A Tripathi, N Tahmasbi, GJ de Vreede | 6 | 2017 |
| Conceptual foundations of crowdsourcing: A review of IS research (pp. 579–588) J Pedersen, D Kocsis, A Tripathi, A Tarrell, A Weerakoon, N Tahmasbi, ... IEEE. doi 10, 2013 | 6 | 2013 |
| Non-fungible tokens-Exploring suspicious washtrader communities in NFT networks N Tahmasbi, A Fuchsberger | 5 | 2022 |
| A framework for achieving realism in agent-based pedestrian crowd simulations A Fuchsberger, N Tahmasbi, B Ricks | 4 | 2017 |
| Identifying Washtrading Cases in NFT Sales Networks N Tahmasbi, G Shan, AM French IEEE Transactions on Computational Social Systems, 12, 2023 | 2 | 2023 |
| Get the Crowd Going–An Empirical Analysis toward a Crowdsourcing Engagement Model N Tahmasbi, H Sternberg | 2 | 2019 |
| Social and delay discounting in a behavioral economic analysis of bystanders’ helping cyberbullying victims: The moderating role of gender Y Hayashi, N Tahmasbi, P Romanowich, DA Hantula Computers in Human Behavior 145, 107783, 2023 | 1 | 2023 |
Gert-Jan de VreedeInterim Dean & Professor, University of South FloridaVerified email at usf.edu
