| Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in Germany C Fritz, E Dorigatti, D Rügamer Scientific Reports 12 (1), 3930, 2022 | 115 | 2022 |
| Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time C Fritz, M Lebacher, G Kauermann Statistica Neerlandica 74 (3), 275-299, 2020 | 41 | 2020 |
| On the interplay of regional mobility, social connectedness, and the spread of covid-19 in germany C Fritz, G Kauermann Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2022 | 40 | 2022 |
| Deepregression: a flexible neural network framework for semi-structured deep distributional regression D Rügamer, C Kolb, C Fritz, F Pfisterer, B Bischl, R Shen, C Bukas, ... Journal of Statistical Software 105 (2), 2023 | 23 | 2023 |
| The role of governmental weapons procurements in forecasting monthly fatalities in intrastate conflicts: A semiparametric hierarchical hurdle model C Fritz, M Mehrl, PW Thurner, G Kauermann International Interactions 48 (4), 778-799, 2022 | 17 | 2022 |
| Separable and semiparametric network-based counting processes applied to the international combat aircraft trades C Fritz, PW Thurner, G Kauermann Network Science 9 (3), 291-311, 2021 | 17 | 2021 |
| The 2023/24 VIEWS Prediction challenge: Predicting the number of fatalities in armed conflict, with uncertainty H Hegre, P Vesco, M Colaresi, J Vestby, A Timlick, NS Kazmi, ... Journal of Peace Research 62 (6), 2070-2087, 2025 | 15 | 2025 |
| Reihentestungen an Schulen können die Dunkelziffer von COVID-19 Infektionen unter Schülern signifikant senken U Berger, C Fritz, G Kauermann Das Gesundheitswesen 84 (06), 495-502, 2022 | 14* | 2022 |
| Statistical modelling of covid-19 data: Putting generalised additive models to work C Fritz, G De Nicola, M Rave, M Weigert, Y Khazaei, U Berger, ... Statistical Modelling, 2022 | 11 | 2022 |
| Exponential random graph models for dynamic signed networks: An application to international relations C Fritz, M Mehrl, PW Thurner, G Kauermann Political Analysis (in print), 2025 | 10 | 2025 |
| Dependence matters: Statistical models to identify the drivers of tie formation in economic networks G De Nicola, C Fritz, M Mehrl, G Kauermann Journal of Economic Behavior & Organization, 2023 | 10 | 2023 |
| Modelling the large and dynamically growing bipartite network of German patents and inventors C Fritz, G De Nicola, S Kevork, D Harhoff, G Kauermann Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2023 | 9 | 2023 |
| Food antigen-specific IgE in dogs with suspected food hypersensitivity SA Baumann, C Fritz, RS Mueller Tierärztliche Praxis Ausgabe K: Kleintiere/Heimtiere 48 (06), 395-402, 2020 | 8 | 2020 |
| A regression framework for studying relationships among attributes under network interference C Fritz, M Schweinberger, S Bhadra, DR Hunter Journal of the American Statistical Association (in print), 2025 | 6 | 2025 |
| On the Interplay of Regional Mobility, Social Connectedness, and the Spread of COVID-19 in Germany; 2020 C Fritz, G Kauermann Avilable online at: https://arxiv. org/abs, 2008 | 5 | 2008 |
| How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression L Kook, C Kolb, P Schiele, D Dold, M Arpogaus, C Fritz, PF Baumann, ... UAI, 2024 | 4 | 2024 |
| All that glitters is not gold: Relational events models with spurious events C Fritz, M Mehrl, PW Thurner, G Kauermann Network Science 11 (2), 184-204, 2023 | 4 | 2023 |
| Socio-cognitive Networks between Researchers: Investigating Scientific Dualities with the Group-Oriented Relational Hyperevent Model A Espinosa-Rada, J Lerner, C Fritz Social Networks, 2025 | 3 | 2025 |
| A strategic model of software dependency networks C Fritz, CP Georg, A Mele, M Schweinberger Proceedings of the 25th ACM Conference on Economics and Computation, 863-892, 2024 | 3* | 2024 |
| Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks” by Pavel N. Krivitsky, Pietro Coletti, and Niel Hens M Schweinberger, C Fritz Journal of the American Statistical Association 118 (544), 2225-2227, 2023 | 3 | 2023 |