Philipp Seegerer

902 total citations
7 papers, 355 citations indexed

About

Philipp Seegerer is a scholar working on Artificial Intelligence, Molecular Biology and Otorhinolaryngology. According to data from OpenAlex, Philipp Seegerer has authored 7 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Otorhinolaryngology. Recurrent topics in Philipp Seegerer's work include AI in cancer detection (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Head and Neck Cancer Studies (2 papers). Philipp Seegerer is often cited by papers focused on AI in cancer detection (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Head and Neck Cancer Studies (2 papers). Philipp Seegerer collaborates with scholars based in Germany, South Korea and United States. Philipp Seegerer's co-authors include Klaus‐Robert Müller, Simon Wiedemann, Sebastian Lapuschkin, Seul-Ki Yeom, Alexander Binder, Wojciech Samek, Philipp Jurmeister, Frederick Klauschen, Ulrich Schüller and Michael Bockmayr and has published in prestigious journals such as PLoS ONE, Scientific Reports and Science Translational Medicine.

In The Last Decade

Philipp Seegerer

7 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philipp Seegerer Germany	6	107	78	72	63	54	7	355
Mohammad Hossein Zangooei Iran	10	163 1.5×	47 0.6×	42 0.6×	44 0.7×	67 1.2×	12	412
Jun Shi China	14	53 0.5×	28 0.4×	139 1.9×	87 1.4×	117 2.2×	53	517
Min Su Lee South Korea	14	80 0.7×	75 1.0×	31 0.4×	102 1.6×	62 1.1×	35	486
Murtada K. Elbashir Saudi Arabia	9	124 1.2×	15 0.2×	43 0.6×	59 0.9×	121 2.2×	45	371
Meiyu Duan China	11	137 1.3×	22 0.3×	37 0.5×	144 2.3×	164 3.0×	42	482
Christoph Schuhmann Germany	7	90 0.8×	82 1.1×	136 1.9×	36 0.6×	35 0.6×	15	412
Gurpreet Singh India	11	64 0.6×	86 1.1×	26 0.4×	118 1.9×	39 0.7×	53	441
Tao Tan China	12	161 1.5×	18 0.2×	87 1.2×	170 2.7×	21 0.4×	55	403
Weifu Chen China	11	118 1.1×	19 0.2×	89 1.2×	22 0.3×	88 1.6×	38	434

Countries citing papers authored by Philipp Seegerer

Since Specialization

Citations

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

Fields of papers citing papers by Philipp Seegerer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Seegerer

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

All Works

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7 of 7 papers shown

1.

Schweizer, Leonille, Philipp Seegerer, Anja Osterloh, et al.. (2022). Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights. Neuropathology and Applied Neurobiology. 49(1). e12866–e12866. 4 indexed citations

2.

Wagner, Patrick, Nils Strodthoff, Philipp Seegerer, et al.. (2022). New definitions of human lymphoid and follicular cell entities in lymphatic tissue by machine learning. Scientific Reports. 12(1). 18991–18991. 5 indexed citations

3.

Capper, David, Philipp Seegerer, Annika Lehmann, et al.. (2021). Machine learning models predict the primary sites of head and neck squamous cell carcinoma metastases based on DNA methylation. The Journal of Pathology. 256(4). 378–387. 24 indexed citations

4.

Yeom, Seul-Ki, Philipp Seegerer, Sebastian Lapuschkin, et al.. (2021). Pruning by explaining: A novel criterion for deep neural network pruning. Pattern Recognition. 115. 107899–107899. 144 indexed citations

5.

Jurmeister, Philipp, Michael Bockmayr, Philipp Seegerer, et al.. (2019). Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases. Science Translational Medicine. 11(509). 78 indexed citations

6.

Kayvanpour, Elham, Tommaso Mansi, Farbod Sedaghat‐Hamedani, et al.. (2015). Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart. PLoS ONE. 10(7). e0134869–e0134869. 64 indexed citations

7.

Zettinig, Oliver, Tommaso Mansi, Dominik Neumann, et al.. (2014). Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals. Medical Image Analysis. 18(8). 1361–1376. 36 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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