Tim Scherr

599 total citations
17 papers, 156 citations indexed

About

Tim Scherr is a scholar working on Biophysics, Media Technology and Artificial Intelligence. According to data from OpenAlex, Tim Scherr has authored 17 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biophysics, 8 papers in Media Technology and 6 papers in Artificial Intelligence. Recurrent topics in Tim Scherr's work include Cell Image Analysis Techniques (9 papers), Image Processing Techniques and Applications (8 papers) and AI in cancer detection (5 papers). Tim Scherr is often cited by papers focused on Cell Image Analysis Techniques (9 papers), Image Processing Techniques and Applications (8 papers) and AI in cancer detection (5 papers). Tim Scherr collaborates with scholars based in Germany, United Kingdom and United States. Tim Scherr's co-authors include Ralf Mikut, Katharina Löffler, Markus Reischl, Lester D.�R. Thompson, Veit Hagenmeyer, Andreas Bartschat, Lars Tharun, Sven Perner, Johannes Stegmaier and Katharina Nöh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Tim Scherr

16 papers receiving 151 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Scherr Germany	7	70	57	57	36	34	17	156
Aman Rana United States	6	38 0.5×	35 0.6×	75 1.3×	34 0.9×	22 0.6×	16	185
Håkan Wieslander Sweden	6	98 1.4×	41 0.7×	74 1.3×	39 1.1×	65 1.9×	9	247
Marcin Kociołek Poland	9	94 1.3×	62 1.1×	82 1.4×	75 2.1×	41 1.2×	17	315
Katharina Löffler Germany	5	64 0.9×	51 0.9×	25 0.4×	13 0.4×	30 0.9×	8	106
Christoffer Edlund Sweden	4	102 1.5×	59 1.0×	60 1.1×	13 0.4×	35 1.0×	9	171
Nabeel Khalid Germany	4	113 1.6×	53 0.9×	55 1.0×	12 0.3×	56 1.6×	8	196
Gus Ferguson United Kingdom	5	130 1.9×	17 0.3×	44 0.8×	14 0.4×	116 3.4×	8	230
Mira Valkonen Finland	9	36 0.5×	53 0.9×	101 1.8×	60 1.7×	22 0.6×	9	141
Hady Ahmady Phoulady United States	7	52 0.7×	88 1.5×	142 2.5×	57 1.6×	33 1.0×	11	210
Kaisa Liimatainen Finland	6	33 0.5×	38 0.7×	61 1.1×	26 0.7×	15 0.4×	8	105

Countries citing papers authored by Tim Scherr

Since Specialization

Citations

This map shows the geographic impact of Tim Scherr'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 Tim Scherr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Scherr more than expected).

Fields of papers citing papers by Tim Scherr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Scherr. 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 Tim Scherr. The network helps show where Tim Scherr may publish in the future.

Co-authorship network of co-authors of Tim Scherr

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Scherr. A scholar is included among the top collaborators of Tim Scherr 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 Tim Scherr. Tim Scherr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Scherr, Tim, et al.. (2024). ObiWan-Microbi: OMERO-based integrated workflow for annotating microbes in the cloud. SoftwareX. 26. 101638–101638. 4 indexed citations

Scherr, Tim, et al.. (2022). microbeSEG: A deep learning software tool with OMERO data management for efficient and accurate cell segmentation. PLoS ONE. 17(11). e0277601–e0277601. 8 indexed citations

Scherr, Tim, et al.. (2022). Automated Annotator Variability Inspection for Biomedical Image Segmentation. IEEE Access. 10. 2753–2765. 12 indexed citations

Reischl, Markus, et al.. (2022). Ciscnet - a Single-Branch Cell Nucleus Instance Segmentation and Classification Network. Zenodo (CERN European Organization for Nuclear Research). 1–5. 4 indexed citations

Scherr, Tim, et al.. (2022). Impact of Annotation Noise on Histopathology Nucleus Segmentation. SHILAP Revista de lepidopterología. 8(2). 197–200. 4 indexed citations

Löffler, Katharina, Tim Scherr, & Ralf Mikut. (2021). A graph-based cell tracking algorithm with few manually tunable parameters and automated segmentation error correction. PLoS ONE. 16(9). e0249257–e0249257. 14 indexed citations

Tharun, Lars, Tim Scherr, Ralf Mikut, et al.. (2021). Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis. PLoS ONE. 16(9). e0257635–e0257635. 29 indexed citations

Scherr, Tim, Haijun Cui, Anna A. Popova, et al.. (2021). A Computational Workflow for Interdisciplinary Deep Learning Projects utilizing bwHPC Infrastructure. Repository KITopen (Karlsruhe Institute of Technology). 1 indexed citations

Scherr, Tim, Yong Hu, Pengchao Sun, et al.. (2020). Segregation of Dispersed Silica Nanoparticles in Microfluidic Water‐in‐Oil Droplets: A Kinetic Study. ChemPhysChem. 21(10). 1070–1078. 5 indexed citations

10.

Scherr, Tim, et al.. (2020). Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy. PLoS ONE. 15(12). e0243219–e0243219. 51 indexed citations

11.

Scherr, Tim, et al.. (2020). Cell Segmentation and Tracking using Distance Transform Predictions and Movement Estimation with Graph-Based Matching. 1 indexed citations

12.

Scherr, Tim, Andreas Bartschat, Johannes Stegmaier, et al.. (2020). BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images. Bioinformatics. 36(17). 4668–4670. 3 indexed citations

13.

Bartschat, Andreas, Stephan Allgeier, Tim Scherr, et al.. (2019). Fuzzy tissue detection for real-time focal control in corneal confocal microscopy. at - Automatisierungstechnik. 67(10). 879–888. 2 indexed citations

14.

Bartschat, Andreas, Stephan Allgeier, Tim Scherr, et al.. (2019). Digitale Bildverarbeitung und Tiefe Neuronale Netze in der Augenheilkunde – aktuelle Trends. Klinische Monatsblätter für Augenheilkunde. 236(12). 1399–1406. 3 indexed citations

15.

Scherr, Tim, et al.. (2018). Influence of Synthetic Label Image Object Properties on GAN Supported Segmentation Pipelines. Repository KITopen (Karlsruhe Institute of Technology). 289–309. 8 indexed citations

16.

Bartschat, Andreas, et al.. (2018). Robustness of Deep Learning Architectures with Respect to Training Data Variation. Repository KITopen (Karlsruhe Institute of Technology). 1 indexed citations

17.

Scherr, Tim, Andreas Bartschat, Markus Reischl, Johannes Stegmaier, & Ralf Mikut. (2018). Best Practices in Deep Learning-Based Segmentation of Microscopy Images. Repository KITopen (Karlsruhe Institute of Technology). 6 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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