| 2022 | CHIIR | SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search. | Christian Otto, Markus Rokicki, Georg Pardi, Wolfgang Gritz, Daniel Hienert, Ran Yu, Johannes von Hoyer, Anett Hoppe, Stefan Dietze, Peter Holtz, Yvonne Kammerer, Ralph Ewerth |
| 2022 | SIGIR | Learning to Rank for Knowledge Gain. | Markus Rokicki, Ran Yu, Daniel Hienert |
| 2021 | AIED | Predicting Knowledge Gain During Web Search Based on Multimedia Resource Consumption. | Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze, Ralph Ewerth |
| 2021 | CIKM | Domain-Specific Modeling of User Knowledge in Informational Search Sessions. | Rui Tang, Ran Yu, Markus Rokicki, Ralph Ewerth, Stefan Dietze |
| 2018 | CIKM | On the Predictability of Non-CGM Diabetes Data for Personalized Recommendation. | Tu Nguyen, Markus Rokicki |
| 2018 | ICWSM | The Impact of Recipe Features, Social Cues and Demographics on Estimating the Healthiness of Online Recipes. | Markus Rokicki, Christoph Trattner, Eelco Herder |
| 2018 | SIGIR | Predicting User Knowledge Gain in Informational Search Sessions. | Ran Yu, Ujwal Gadiraju, Peter Holtz, Markus Rokicki, Philipp Kemkes, Stefan Dietze |
| 2017 | ICWSM | How Editorial, Temporal and Social Biases Affect Online Food Popularity and Appreciation. | Markus Rokicki, Eelco Herder, Christoph Trattner |
| 2016 | WWW | Just in Time: Controlling Temporal Performance in Crowdsourcing Competitions. | Markus Rokicki, Sergej Zerr, Stefan Siersdorfer |
| 2015 | WWW | Groupsourcing: Team Competition Designs for Crowdsourcing. | Markus Rokicki, Sergej Zerr, Stefan Siersdorfer |
| 2014 | CIKM | Competitive Game Designs for Improving the Cost Effectiveness of Crowdsourcing. | Markus Rokicki, Sergiu Chelaru, Sergej Zerr, Stefan Siersdorfer |