👩‍🔬Scientific publications

Compilation of scientific studies and publications with webAI data.

The following scientific publications have used data by ISTARI.AI:

2023:

• Abbasiharofteh, M., Krüger, M., Kinne, J., Lenz, D., & Resch, B. (2023). The digital layer: alternative data for regional and innovation studies. Spatial Economic Analysis, 18(4), 507–529. https://doi.org/10.1080/17421772.2023.2193222

• Arifi, D., Resch, B., Kinne, J., & Lenz, D. (2023). Innovation in hyperlink and social media networks: Comparing connection strategies of innovative companies in hyperlink and social media networks. PLOS ONE, 18(3), e0283372. https://doi.org/10.1371/journal.pone.0283372

• Liu, C., Peng, Z., Liu, L., & Li, S. (2023). Innovation Networks of Science and Technology Firms: Evidence from China. Land, 12(7), 1283. https://doi.org/10.3390/land12071283

2022:

• Schmidt, S., Kinne, J., Lautenbach, S., Blaschke, T., Lenz, D., & Resch, B. (2022). Greenwashing in the US metal industry? A novel approach combining SO2 concentrations from satellite data, a plant-level firm database and web text mining. Science of the Total Environment, 835, 155512. https://doi.org/10.1016/j.scitotenv.2022.155512

• Schwierzy, J., Dehghan, R., Schmidt, S., Rodepeter, E., Stömmer, A., Uctum, K., Kinne, J., Lenz, D. & Hottenrott, H. (2022). Technology mapping using WebAI: the case of 3D printing. arXiv.org. https://arxiv.org/abs/2201.01125

2021:

• Kinne, J., & Lenz, D. (2021). Predicting innovative firms using web mining and deep learning. PLOS ONE, 16(4), e0249071. https://doi.org/10.1371/journal.pone.0249071