Philipp Kainz

1.9k total citations · 1 hit paper
17 papers, 1.1k citations indexed

About

Philipp Kainz is a scholar working on Artificial Intelligence, Molecular Biology and Oncology. According to data from OpenAlex, Philipp Kainz has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Philipp Kainz's work include Cell Image Analysis Techniques (4 papers), AI in cancer detection (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Philipp Kainz is often cited by papers focused on Cell Image Analysis Techniques (4 papers), AI in cancer detection (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Philipp Kainz collaborates with scholars based in Austria, United Kingdom and Germany. Philipp Kainz's co-authors include Michael Pfeiffer, Martin Urschler, Daniel Racoceanu, David Snead, Nasir Rajpoot, Hao Chen, Elia Bruni, Bogdan J. Matuszewski, Anton Böhm and Xiaojuan Qi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Philipp Kainz

17 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gland segmentation in colon histology images: The glas challenge contest

2016 570 citations Korsuk Sirinukunwattana, Josien P. W. Pluim et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philipp Kainz Austria	10	605	404	402	150	148	17	1.1k
Fujun Liu United States	10	439 0.7×	301 0.7×	246 0.6×	149 1.0×	38 0.3×	21	870
Yunbo Guo China	9	461 0.8×	394 1.0×	322 0.8×	65 0.4×	17 0.1×	28	872
André Homeyer Germany	13	376 0.6×	229 0.6×	294 0.7×	117 0.8×	26 0.2×	37	835
Dimitris Glotsos Greece	16	424 0.7×	219 0.5×	321 0.8×	86 0.6×	10 0.1×	73	868
Hongming Xu China	15	266 0.4×	138 0.3×	182 0.5×	74 0.5×	40 0.3×	46	575
Guilherme Aresta Portugal	11	662 1.1×	336 0.8×	681 1.7×	67 0.4×	16 0.1×	23	979
Xiaojun Guan China	4	601 1.0×	343 0.8×	346 0.9×	171 1.1×	40 0.3×	10	924
Spiros Kostopoulos Greece	14	249 0.4×	128 0.3×	306 0.8×	52 0.3×	8 0.1×	67	617
Heung‐Kook Choi South Korea	16	259 0.4×	334 0.8×	210 0.5×	57 0.4×	21 0.1×	89	814
Dimitris Samaras United States	12	684 1.1×	422 1.0×	427 1.1×	141 0.9×	5 0.0×	28	1.0k

Countries citing papers authored by Philipp Kainz

Since Specialization

Citations

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

Fields of papers citing papers by Philipp Kainz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Kainz

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Kainz. A scholar is included among the top collaborators of Philipp Kainz 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 Philipp Kainz. Philipp Kainz 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

Dorn, A, Ulrich Lenze, Carolin Knebel, et al.. (2024). Analysis of Osteosarcoma Cell Lines and Patient Tissue Using a 3D In Vivo Tumor Model—Possible Effects of Punicalagin. SHILAP Revista de lepidopterología. 3(1). 35–53. 2 indexed citations

Kainz, Philipp, et al.. (2024). AI-Enhanced Blood Cell Recognition and Analysis: Advancing Traditional Microscopy with the Web-Based Platform IKOSA. SHILAP Revista de lepidopterología. 5(1). 28–44. 5 indexed citations

Förster, Sarah, Yeeting E. Chong, David Siefker, et al.. (2023). Development and Characterization of a Novel Neuropilin-2 Antibody for Immunohistochemical Staining of Cancer and Sarcoidosis Tissue Samples. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 42(5). 157–165. 4 indexed citations

Kainz, Philipp, et al.. (2022). Deep Learning-Based Image Analysis for the Quantification of Tumor-Induced Angiogenesis in the 3D In Vivo Tumor Model—Establishment and Addition to Laser Speckle Contrast Imaging (LSCI). Cells. 11(15). 2321–2321. 20 indexed citations

Ebner, Thomas, et al.. (2022). Validation of AI-based Information Systems for Sensitive Use Cases: Using an XAI Approach in Pharmaceutical Engineering. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 6 indexed citations

Cai, Feng, Zheng Zhao, Siqi Jiang, et al.. (2020). Evolutionary compromises in fungal fitness: hydrophobins can hinder the adverse dispersal of conidiospores and challenge their survival. The ISME Journal. 14(10). 2610–2624. 42 indexed citations

Kainz, Philipp, Michael Pfeiffer, & Martin Urschler. (2017). Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization. PeerJ. 5. e3874–e3874. 99 indexed citations

Kainz, Philipp, Harald Burgsteiner, Martin Asslaber, & Helmut Ahammer. (2016). Training echo state networks for rotation-invariant bone marrow cell classification. Neural Computing and Applications. 28(6). 1277–1292. 15 indexed citations

Sirinukunwattana, Korsuk, Josien P. W. Pluim, Hao Chen, et al.. (2016). Gland segmentation in colon histology images: The glas challenge contest. Medical Image Analysis. 35. 489–502. 570 indexed citations breakdown →

10.

Marée, Raphaël, Benjamin H. Stevens, Gilles Louppe, et al.. (2016). Cytomine: An Open-Source Software For Collaborative Analysis Of Whole-Slide Images. SHILAP Revista de lepidopterología. 8 indexed citations

11.

Kainz, Philipp, et al.. (2016). Learning discriminative classification models for grading anal intraepithelial neoplasia. Current Directions in Biomedical Engineering. 2(1). 419–422. 1 indexed citations

12.

Marée, Raphaël, Benjamin H. Stevens, Gilles Louppe, et al.. (2016). Collaborative analysis of multi-gigapixel imaging data using Cytomine. Bioinformatics. 32(9). 1395–1401. 126 indexed citations

13.

Kainz, Philipp, et al.. (2015). IQM: An Extensible and Portable Open Source Application for Image and Signal Analysis in Java. PLoS ONE. 10(1). e0116329–e0116329. 24 indexed citations

14.

Müller, Wolfram, Timothy G. Lohman, Arthur D. Stewart, et al.. (2015). Subcutaneous fat patterning in athletes: selection of appropriate sites and standardisation of a novel ultrasound measurement technique: ad hoc working group on body composition, health and performance, under the auspices of the IOC Medical Commission. British Journal of Sports Medicine. 50(1). 45–54. 67 indexed citations

15.

Müller, Wolfram, Alfred Fürhapter-Rieger, Philipp Kainz, et al.. (2013). Body composition in sport: interobserver reliability of a novel ultrasound measure of subcutaneous fat tissue. British Journal of Sports Medicine. 47(16). 1036–1043. 37 indexed citations

16.

Kainz, Philipp, et al.. (2013). Image Pyramids as a New Approach for the Determination of Fractal Dimensions. 239–243. 1 indexed citations

17.

Müller, Wolfram, Alfred Fürhapter-Rieger, Philipp Kainz, et al.. (2013). Body composition in sport: a comparison of a novel ultrasound imaging technique to measure subcutaneous fat tissue compared with skinfold measurement. British Journal of Sports Medicine. 47(16). 1028–1035. 64 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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