Competitive Game Designs for Improving the Cost Effectiveness of Crowdsourcing. - Markus Rokicki; Sergiu Chelaru; Sergej Zerr; Stefan Siersdorfer (CIKM, 2014)

Personalized Advice and Feedback for Diabetes Patients. - Stephan Weibelzahl; Eelco Herder; Markus Rokicki; Dominikus Heckmann; Karsten Müssig; Janko Schildt (MuC (Workshopband), 2015)

What's On My Plate: Towards Recommending Recipe Variations for Diabetes Patients. - Markus Rokicki; Eelco Herder; Elena Demidova (UMAP Workshops, 2015)

Groupsourcing: Team Competition Designs for Crowdsourcing. - Markus Rokicki; Sergej Zerr; Stefan Siersdorfer (WWW, 2015)

Plate and Prejudice: Gender Differences in Online Cooking. - Markus Rokicki; Eelco Herder; Tomasz Kusmierczyk; Christoph Trattner (UMAP, 2016)

Just in Time: Controlling Temporal Performance in Crowdsourcing Competitions. - Markus Rokicki; Sergej Zerr; Stefan Siersdorfer (WWW, 2016)

How Editorial, Temporal and Social Biases Affect Online Food Popularity and Appreciation. - Markus Rokicki; Eelco Herder; Christoph Trattner (ICWSM, 2017)

The Influence of City Size on Dietary Choices and Food Recommendation. - Hao Cheng 008; Markus Rokicki; Eelco Herder (UMAP, 2017)

The Influence of City Size on Dietary Choices. - Hao Cheng 008; Markus Rokicki; Eelco Herder (UMAP (Adjunct Publication), 2017)

On the Relations Between Cooking Interests, Hobbies and Nutritional Values of Online Recipes: Implications for Health-Aware Recipe Recommender Systems. - Christoph Trattner; Markus Rokicki; Eelco Herder (UMAP (Adjunct Publication), 2017)

Evaluating trade-offs in energy-efficient error detection. - Markus Rokicki; Martin Drozda (Int. J. Commun. Syst., 2017)

On the Predictability of Non-CGM Diabetes Data for Personalized Recommendation. - Tu Nguyen; Markus Rokicki (CIKM Workshops, 2018)

The Impact of Recipe Features, Social Cues and Demographics on Estimating the Healthiness of Online Recipes. - Markus Rokicki; Christoph Trattner; Eelco Herder (ICWSM, 2018)

Predicting User Knowledge Gain in Informational Search Sessions. - Ran Yu 001; Ujwal Gadiraju; Peter Holtz; Markus Rokicki; Philipp Kemkes; Stefan Dietze (SIGIR, 2018)

Predicting Knowledge Gain During Web Search Based on Multimedia Resource Consumption. - Christian Otto; Ran Yu 001; Georg Pardi; Johannes von Hoyer; Markus Rokicki; Anett Hoppe; Peter Holtz; Yvonne Kammerer; Stefan Dietze; Ralph Ewerth (AIED (1), 2021)

Domain-Specific Modeling of User Knowledge in Informational Search Sessions. - Rui Tang; Ran Yu 001; Markus Rokicki; Ralph Ewerth; Stefan Dietze (CIKM Workshops, 2021)

Topic-independent modeling of user knowledge in informational search sessions. - Ran Yu 001; Rui Tang; Markus Rokicki; Ujwal Gadiraju; Stefan Dietze (Inf. Retr. J., 2021)

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 001; Johannes von Hoyer; Anett Hoppe; Stefan Dietze; Peter Holtz; Yvonne Kammerer; Ralph Ewerth (CHIIR, 2022)

Learning to Rank for Knowledge Gain. - Markus Rokicki; Ran Yu 001; Daniel Hienert (INRA/IWILDS@SIGIR, 2022)