Oliver Grimm

460 total citations
6 papers, 51 citations indexed

About

Oliver Grimm is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Oliver Grimm has authored 6 papers receiving a total of 51 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Oncology. Recurrent topics in Oliver Grimm's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer Genomics and Diagnostics (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Oliver Grimm is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer Genomics and Diagnostics (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Oliver Grimm collaborates with scholars based in Germany, United States and Switzerland. Oliver Grimm's co-authors include Lucy Hutchinson, Emilia Andersson, Konstanty Korski, Horst K. Hahn, Fabien Gaire, Lars Ole Schwen, André Homeyer, Nick Weiss, Hadassah Sade and Joerg Bredno and has published in prestigious journals such as Frontiers in Oncology, Molecular Cancer Research and npj Digital Medicine.

In The Last Decade

Oliver Grimm

5 papers receiving 50 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver Grimm Germany	4	17	17	15	12	11	6	51
Aliakbar Dariush United Kingdom	2	15 0.9×	24 1.4×	11 0.7×	32 2.7×	13 1.2×	2	80
B. Young United States	4	16 0.9×	16 0.9×	5 0.3×	10 0.8×	7 0.6×	4	56
Rafael Fluxá Spain	3	27 1.6×	8 0.5×	14 0.9×	7 0.6×	8 0.7×	6	59
Akisha Glasgow United States	3	7 0.4×	18 1.1×	4 0.3×	17 1.4×	12 1.1×	5	53
Erik A. Burlingame United States	5	37 2.2×	18 1.1×	8 0.5×	25 2.1×	8 0.7×	6	76
Anna Yeaton United States	3	36 2.1×	14 0.8×	5 0.3×	11 0.9×	14 1.3×	6	68
Pamela Whalen United States	5	38 2.2×	13 0.8×	17 1.1×	3 0.3×	6 0.5×	7	64
Rie Kawashima Japan	6	39 2.3×	31 1.8×	27 1.8×	3 0.3×	13 1.2×	9	78
Uday Kurkure United States	4	7 0.4×	16 0.9×	7 0.5×	24 2.0×	8 0.7×	6	67
Iga Kołodziejczak Poland	3	47 2.8×	12 0.7×	5 0.3×	31 2.6×	28 2.5×	3	123

Countries citing papers authored by Oliver Grimm

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Grimm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Grimm

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Hutchinson, Lucy & Oliver Grimm. (2022). Integrating digital pathology and mathematical modelling to predict spatial biomarker dynamics in cancer immunotherapy. npj Digital Medicine. 5(1). 92–92. 8 indexed citations

2.

Grimm, Oliver, et al.. (2018). Enabling Histopathological Annotations on Immunofluorescent Images through Virtualization of Hematoxylin and Eosin. Journal of Pathology Informatics. 9(1). 1–1. 17 indexed citations

3.

Schwen, Lars Ole, Emilia Andersson, Konstanty Korski, et al.. (2018). Data-Driven Discovery of Immune Contexture Biomarkers. Frontiers in Oncology. 8. 627–627. 20 indexed citations

4.

Andersson, Emilia, Yao Nie, Christian G. Roessler, & Oliver Grimm. (2018). Color deconvolution method with DAB scatter correction for bright field image analysis. 23. 19–19. 1 indexed citations

5.

Andersson, Emilia, et al.. (2017). Automated wholeslide analysis of multiplex-brightfield IHC images for cancer cells and carcinoma-associated fibroblasts. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10140. 1014007–1014007. 4 indexed citations

6.

Cañamero, Marta, Konstanty Korski, Oliver Grimm, et al.. (2016). Abstract B47: Unraveling tumor metabolism with in silico IHC multiplexing supported by automated imaging analysis. Molecular Cancer Research. 14(1_Supplement). B47–B47. 1 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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