Vautz, W., Hariharan, C., Weigend, M. (2018), Smell the change: On the potential of gas-chromatographic ion mobility spectrometry in ecosystem monitoring, Ecology and Evolution, 8(9), 4370-4373
Howe, E. J., Buckland, S. T., Despres-Einspenner, M., and Kuhl, H. S. (2017), Distance Sampling with Camera Traps,  Methods in Ecology and Evolution, 8(11), 1558-1565.
Kühl, H. S., Bowler, D. E., Bösch, L., Bruelheide, H., Dauber, J., Eichenberg, D., … & Herbinger, I. (2020).
Effective biodiversity monitoring needs a culture of integration. One Earth, 3(4), 462-474.
Keller, A., Hohlfeld, S., Kolter, A., Schultz, J., Gemeinholzer, B., & Ankenbrand, M. J. (2020). BCdatabaser: on-the-fly reference database creation for (meta-) barcoding. Bioinformatics, 36(8), 2630-2631.
Hornick, T., Richter, A., Harpole, W. S., Bastl, M., Bohlmann, S., Bonn, A., Bumberger, J., Dietrich, P., Gemeinholzer, B.,  … Dunker, S. (2021). An integrative environmental pollen diversity assessment and its importance for the Sustainable Development Goals. Plants, People, Planet, 1– 12. 
Kolter, A., & Gemeinholzer, B. (2021). Internal transcribed spacer primer evaluation for vascular plant metabarcoding. Metabarcoding and Metagenomics, 5, e68155.
Kolter, A., & Gemeinholzer, B. (2021). Plant DNA barcoding necessitates marker-specific efforts to establish more comprehensive reference databases. Genome, 64(3), 265-298.
Swenson, S. J., & Gemeinholzer, B. (2021). Testing the effect of pollen exine rupture on metabarcoding with Illumina sequencing. Plos one, 16(2), e0245611.
Korsch, D., Bodesheim, P., & Denzler, J. (2020). End-to-end learning of a fisher vector encoding for part features in fine-grained recognition. arXiv preprint arXiv:2007.02080.
Korsch, D., Bodesheim, P., & Denzler, J. (2021) Deep Learning 
Pipeline for Automated Visual Moth Monitoring: Insect Localization and 
Species Classification. Computer Science for Biodiversity Workshop 
(CS4Biodiversity) at INFORMATIK 2021
Sixdenier, P., Wildermann, S., Teich, J. (2021), Towards an Autonomous, Power-efficient Base Station for Sensor Data Collection. IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), 313-315
Wägele, J. W., Bodesheim, P., Bourlat, S. J., Denzler, J., Diepenbroek, M., Fonseca, V.G., Frommolt, K., Geiger, M. F., Gemeinholzer, B., Glöckner, F. O., Haucke, T., Kirse, A., Kölpin, A., Kostadinov, I., Kühl, H. S., Kurth, F., Lasseck, M., Liedke, S., Losch, F., Müller, S., Petrovskaya, N., Piotrowski, K., Radig, B., Scherber, C., Schoppmann, L., Schulz, J., Steinhage, V., Tschan, G.F., Vautz, W., Velotto, D., Weigend, M., Wildermann, S., (2022), Towards a multisensor station for automated biodiversity monitoring, Basic and Applied Ecology (59), 105-138

Radig, B., Bodesheim, P., Korsch, D., Denzler, J., Haucke, T., Klasen, M., & Steinhage, V. (2021). Automated Visual Large Scale Monitoring of Faunal Biodiversity. Pattern Recognition and Image Analysis, 31(3), 477-488.

Böhlke, J., Korsch, D., Bodesheim, P., Denzler, J., (2021) Exploiting Web Images for Moth Species Classification. 
Computer Science for Biodiversity Workshop (CS4Biodiversity) at INFORMATIK 2021

Auer, D., Bodesheim, P., Fiderer, C., Heurich, M., Denzler, J. (2021). Minimizing the Annotation Effort for Detecting 
Wildlife in Camera Trap Images with Active Learning. Computer Science for Biodiversity Workshop (CS4Biodiversity) at INFORMATIK 2021