Karsten Wendt

519 total citations
16 papers, 267 citations indexed

About

Karsten Wendt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hematology. According to data from OpenAlex, Karsten Wendt has authored 16 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Hematology. Recurrent topics in Karsten Wendt's work include Digital Imaging for Blood Diseases (5 papers), AI in cancer detection (4 papers) and Acute Myeloid Leukemia Research (3 papers). Karsten Wendt is often cited by papers focused on Digital Imaging for Blood Diseases (5 papers), AI in cancer detection (4 papers) and Acute Myeloid Leukemia Research (3 papers). Karsten Wendt collaborates with scholars based in Germany, Switzerland and United States. Karsten Wendt's co-authors include Martin Bornhäuser, Jan Moritz Middeke, Jan‐Niklas Eckardt, Ulrich S. Schuler, Christoph Röllig, Johannes Schetelig, Michael Krämer, Katja Sockel, Christian Thiede and Frank Kroschinsky and has published in prestigious journals such as Blood, Leukemia and BMC Cancer.

In The Last Decade

Karsten Wendt

15 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karsten Wendt Germany	8	99	96	65	40	36	16	267
Safiye Çelik United States	8	22 0.2×	53 0.6×	35 0.5×	146 3.6×	34 0.9×	11	316
Laura Boldú Spain	9	359 3.6×	251 2.6×	141 2.2×	28 0.7×	17 0.5×	13	455
Young‐Gon Kim South Korea	10	17 0.2×	40 0.4×	68 1.0×	78 1.9×	24 0.7×	65	360
Andrea Acevedo Spain	11	500 5.1×	341 3.6×	212 3.3×	35 0.9×	22 0.6×	12	624
Yaling Tao China	9	42 0.4×	78 0.8×	101 1.6×	34 0.8×	4 0.1×	22	359
Ke Zuo China	9	15 0.2×	52 0.5×	21 0.3×	84 2.1×	7 0.2×	24	256
Alexandros Sigaras United States	8	31 0.3×	97 1.0×	69 1.1×	76 1.9×	2 0.1×	16	523
Daniel Smutek Czechia	8	116 1.2×	101 1.1×	162 2.5×	10 0.3×	6 0.2×	25	384
Kokeb Dese Ethiopia	11	100 1.0×	208 2.2×	163 2.5×	26 0.7×	5 0.1×	16	379
Khushboo Munir Italy	5	73 0.7×	190 2.0×	171 2.6×	34 0.8×	2 0.1×	6	396

Countries citing papers authored by Karsten Wendt

Since Specialization

Citations

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

Fields of papers citing papers by Karsten Wendt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karsten Wendt

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

All Works

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16 of 16 papers shown

Eckardt, Jan‐Niklas, Susann Winter, Katja Sockel, et al.. (2025). Image-based explainable artificial intelligence accurately identifies myelodysplastic neoplasms beyond conventional signs of dysplasia. npj Precision Oncology. 10(1). 26–26.

Eckardt, Jan‐Niklas, Susann Winter, Christian Thiede, et al.. (2025). Synthetic bone marrow images augment real samples in developing acute myeloid leukemia microscopy classification models. npj Digital Medicine. 8(1). 173–173. 3 indexed citations

Eckardt, Jan‐Niklas, Zenggang Pan, Karsten Wendt, et al.. (2024). Deep Learning Predicts Response to Venetoclax and Azacitidine in Patients with Newly Diagnosed Acute Myeloid Leukemia Solely Based on Bone Marrow Smear Image Data. Blood. 144(Supplement 1). 2917–2917. 1 indexed citations

Wendt, Karsten, Stefani Parmentier, Katja Sockel, et al.. (2024). Autonomous Region-of-Interest Detection, Cell Segmentation and Cell Classification in Bone Marrow Cytomorphology Using Deep Learning. Blood. 144(Supplement 1). 4975–4975. 1 indexed citations

Eckardt, Jan‐Niklas, Martin Bornhäuser, Karsten Wendt, & Jan Moritz Middeke. (2022). Semi-supervised learning in cancer diagnostics. Frontiers in Oncology. 12. 960984–960984. 26 indexed citations

Eckardt, Jan‐Niklas, Michael Krämer, Katja Sockel, et al.. (2022). Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears. BMC Cancer. 22(1). 201–201. 41 indexed citations

Wendt, Karsten, et al.. (2022). Data-Driven Digital Twins in Surgery utilizing Augmented Reality and Machine Learning. 2022 IEEE International Conference on Communications Workshops (ICC Workshops). 8 indexed citations

Wendt, Karsten, et al.. (2022). Transparent Quality Optimization for Machine Learning-Based Regression in Neurology. Journal of Personalized Medicine. 12(6). 908–908. 2 indexed citations

Eckardt, Jan‐Niklas, Jan Moritz Middeke, Michael Krämer, et al.. (2021). Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears. Leukemia. 36(1). 111–118. 60 indexed citations

10.

Eckardt, Jan‐Niklas, Karsten Wendt, Martin Bornhäuser, & Jan Moritz Middeke. (2021). Reinforcement Learning for Precision Oncology. Cancers. 13(18). 4624–4624. 48 indexed citations

11.

Eckardt, Jan‐Niklas, Martin Bornhäuser, Karsten Wendt, & Jan Moritz Middeke. (2020). Application of machine learning in the management of acute myeloid leukemia: current practice and future prospects. Blood Advances. 4(23). 6077–6085. 53 indexed citations

12.

Wendt, Karsten, et al.. (2010). GMPath - A Path Language for Navigation, Information Query and Modification of Data Graphs. 33–40. 1 indexed citations

13.

Wendt, Karsten, et al.. (2010). A Software Framework for Mapping Neural Networks to a Wafer-scale Neuromorphic Hardware System. 43–52. 7 indexed citations

14.

Wendt, Karsten, et al.. (2008). A graph theoretical approach for a multistep mapping software for the FACETS project. 189–194. 7 indexed citations

15.

Mayr, Christian, et al.. (2007). Mapping Complex, Large – Scale Spiking Networks On Neural Vlsi. Zenodo (CERN European Organization for Nuclear Research). 1(1). 7–12. 7 indexed citations

16.

Wendt, Karsten, et al.. (2007). Abbildung komplexer, pulsierender, neuronaler Netzwerke auf spezielle Neuronale VLSI Hardware. Qucosa - Monarch (Chemnitz University of Technology). 2 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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