David Reichert

2.1k total citations
24 papers, 370 citations indexed

About

David Reichert is a scholar working on Biomedical Engineering, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Reichert has authored 24 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 9 papers in Genetics and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David Reichert's work include Glioma Diagnosis and Treatment (9 papers), Nanoplatforms for cancer theranostics (9 papers) and Photodynamic Therapy Research Studies (7 papers). David Reichert is often cited by papers focused on Glioma Diagnosis and Treatment (9 papers), Nanoplatforms for cancer theranostics (9 papers) and Photodynamic Therapy Research Studies (7 papers). David Reichert collaborates with scholars based in Austria, United States and United Kingdom. David Reichert's co-authors include Peggy Seriès, Amos Storkey, Georg Widhalm, Barbara Kiesel, Adelheid Wöehrer, Lisa I. Wadiura, Rainer A. Leitgeb, Angelika Unterhuber, David Silver and Razvan Pascanu and has published in prestigious journals such as Scientific Reports, Journal of neurosurgery and PLoS Computational Biology.

In The Last Decade

David Reichert

21 papers receiving 350 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Reichert Austria 12 109 104 67 55 54 24 370
Yuan Zhao China 14 66 0.6× 225 2.2× 19 0.3× 17 0.3× 32 0.6× 60 557
Boqiang Liu China 13 183 1.7× 88 0.8× 20 0.3× 62 1.1× 21 0.4× 39 561
Yulin Wang China 17 74 0.7× 58 0.6× 77 1.1× 50 0.9× 118 2.2× 70 814
Richard G. Absher United States 10 36 0.3× 22 0.2× 22 0.3× 25 0.5× 46 0.9× 19 424
Zengmin Tian China 13 102 0.9× 127 1.2× 60 0.9× 58 1.1× 27 0.5× 29 569
Fazly Salleh Abas Malaysia 12 88 0.8× 22 0.2× 13 0.2× 12 0.2× 17 0.3× 50 403
Mostafa Fatehi Canada 11 86 0.8× 63 0.6× 28 0.4× 57 1.0× 18 0.3× 27 364
Martina Marinelli Italy 10 18 0.2× 62 0.6× 13 0.2× 13 0.2× 66 1.2× 30 355
Jeffrey Glaister United States 13 176 1.6× 104 1.0× 3 0.0× 71 1.3× 21 0.4× 22 476
Yair Hanani Israel 5 131 1.2× 29 0.3× 6 0.1× 14 0.3× 31 0.6× 7 514

Countries citing papers authored by David Reichert

Since Specialization
Citations

This map shows the geographic impact of David Reichert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Reichert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Reichert more than expected).

Fields of papers citing papers by David Reichert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Reichert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Reichert. The network helps show where David Reichert may publish in the future.

Co-authorship network of co-authors of David Reichert

This figure shows the co-authorship network connecting the top 25 collaborators of David Reichert. A scholar is included among the top collaborators of David Reichert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Reichert. David Reichert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Xinning, Lifang Zhang, David Reichert, et al.. (2025). PSMA-1-DOTA Potentially for Effective Targeted Radioligand Therapy of Prostate Cancer. Molecular Imaging and Biology. 27(5). 785–796.
2.
Mischkulnig, Mario, David Reichert, Lionel Wightman, et al.. (2024). Detection of a Water-Soluble Hypericin Formulation in Glioblastoma Tissue with Fluorescence Lifetime and Intensity Using a Dual-Tap CMOS Camera System. Diagnostics. 14(21). 2423–2423. 1 indexed citations
3.
Reichert, David, Marco Andreana, Angelika Unterhuber, et al.. (2024). Analysis of the Porphyrin Peak Shift and Fluorescence Lifetime in Gliomas with Different Tumor Grades, Intratumoral Regions, and Visible Fluorescence Status. Diagnostics. 14(23). 2651–2651.
4.
Reichert, David, Lisa I. Wadiura, Johanna Gesperger, et al.. (2023). Flavin fluorescence lifetime and autofluorescence optical redox ratio for improved visualization and classification of brain tumors. Frontiers in Oncology. 13. 1105648–1105648. 11 indexed citations
5.
Reichert, David, Johanna Gesperger, Lisa I. Wadiura, et al.. (2022). Improved Protoporphyrin IX-Guided Neurosurgical Tumor Detection with Frequency-Domain Fluorescence Lifetime Imaging. Applied Sciences. 12(3). 1002–1002. 3 indexed citations
6.
Reichert, David, et al.. (2022). A Computationally Efficient Musculoskeletal Model of the Lower Limb for the Control of Rehabilitation Robots: Assumptions and Validation. Applied Sciences. 12(5). 2654–2654. 4 indexed citations
7.
8.
Kiesel, Barbara, Julia Freund, David Reichert, et al.. (2021). 5-ALA in Suspected Low-Grade Gliomas: Current Role, Limitations, and New Approaches. Frontiers in Oncology. 11. 699301–699301. 44 indexed citations
9.
Reichert, David, Johanna Gesperger, Lisa I. Wadiura, et al.. (2021). Fluorescence Lifetime Imaging and Spectroscopic Co-Validation for Protoporphyrin IX-Guided Tumor Visualization in Neurosurgery. Frontiers in Oncology. 11. 741303–741303. 17 indexed citations
10.
Lampinen, Andrew K., Sébastien Racanière, Adam Santoro, et al.. (2020). Automated curriculum generation through setter-solver interactions. International Conference on Learning Representations. 7 indexed citations
11.
Reichert, David, Gerhard Holst, Wolfgang Drexler, et al.. (2020). Towards real-time wide-field fluorescence lifetime imaging of 5-ALA labeled brain tumors with multi-tap CMOS cameras. Biomedical Optics Express. 11(3). 1598–1598. 13 indexed citations
12.
Reichert, David, Johanna Gesperger, Barbara Kiesel, et al.. (2020). Macroscopic fluorescence-lifetime imaging of NADH and protoporphyrin IX improves the detection and grading of 5-aminolevulinic acid-stained brain tumors. Scientific Reports. 10(1). 20492–20492. 29 indexed citations
13.
Zambaldi, Vinícius, David Raposo, Adam Santoro, et al.. (2018). Deep reinforcement learning with relational inductive biases. International Conference on Learning Representations. 47 indexed citations
14.
Buesing, Lars, Théophane Weber, Sébastien Racanière, et al.. (2018). Learning Dynamic State Abstractions for Model-Based Reinforcement Learning. 1 indexed citations
15.
Silver, David, Hado van Hasselt, Matteo Hessel, et al.. (2017). The predictron: end-to-end learning and planning. International Conference on Machine Learning. 3191–3199. 25 indexed citations
16.
Racanière, Sébastien, Théophane Weber, David Reichert, et al.. (2017). Imagination-Augmented Agents for Deep Reinforcement Learning. arXiv (Cornell University). 30. 5690–5701. 49 indexed citations
17.
Reichert, David, Peggy Seriès, & Amos Storkey. (2013). Charles Bonnet Syndrome: Evidence for a Generative Model in the Cortex?. PLoS Computational Biology. 9(7). e1003134–e1003134. 38 indexed citations
18.
Reichert, David, Peggy Seriès, & Amos Storkey. (2011). Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability. Neural Information Processing Systems. 24. 2357–2365. 5 indexed citations
19.
Seriès, Peggy, David Reichert, & Amos Storkey. (2010). Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model. Neural Information Processing Systems. 23. 2020–2028. 13 indexed citations
20.
Reichert, David. (1998). Evaluation of the Long-Pulse Dye Laser for the Treatment of Leg Telangiectasias. Dermatologic Surgery. 24(7). 737–740. 35 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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