Paul Eichinger

476 total citations
12 papers, 314 citations indexed

About

Paul Eichinger is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Paul Eichinger has authored 12 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pathology and Forensic Medicine and 3 papers in Genetics. Recurrent topics in Paul Eichinger's work include Multiple Sclerosis Research Studies (8 papers), Ultrasound Imaging and Elastography (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Paul Eichinger is often cited by papers focused on Multiple Sclerosis Research Studies (8 papers), Ultrasound Imaging and Elastography (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Paul Eichinger collaborates with scholars based in Germany, Belgium and India. Paul Eichinger's co-authors include Benedikt Wiestler, Claus Zimmer, Mark Mühlau, Jan S. Kirschke, Bjoern Menze, Haike Zhang, Viola Pongratz, Esther Alberts, Jens Gempt and Matthias Bussas and has published in prestigious journals such as Scientific Reports, Radiology and American Journal of Neuroradiology.

In The Last Decade

Paul Eichinger

12 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Eichinger Germany	9	201	109	97	48	32	12	314
Béatrice Carsin France	8	142 0.7×	43 0.4×	59 0.6×	29 0.6×	70 2.2×	9	305
J.-N. Vallée France	12	144 0.7×	145 1.3×	70 0.7×	19 0.4×	18 0.6×	19	499
Fariborz Faeghi Iran	12	238 1.2×	40 0.4×	31 0.3×	59 1.2×	14 0.4×	50	380
Fernando Aparici Spain	13	123 0.6×	75 0.7×	103 1.1×	20 0.4×	52 1.6×	40	522
Joshua Loya United States	9	191 1.0×	36 0.3×	153 1.6×	49 1.0×	12 0.4×	21	446
Adrian Ion‐Mărgineanu United States	7	131 0.7×	40 0.4×	25 0.3×	47 1.0×	26 0.8×	16	314
Kiran Talekar United States	7	97 0.5×	23 0.2×	76 0.8×	48 1.0×	13 0.4×	30	238
Evanthia Kousi Greece	11	388 1.9×	19 0.2×	186 1.9×	19 0.4×	14 0.4×	23	491
Raphael Jakubovic Canada	13	116 0.6×	115 1.1×	52 0.5×	82 1.7×	6 0.2×	28	359
Xiaocheng Wei China	12	324 1.6×	17 0.2×	39 0.4×	21 0.4×	8 0.3×	36	432

Countries citing papers authored by Paul Eichinger

Since Specialization

Citations

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

Fields of papers citing papers by Paul Eichinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Eichinger

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

All Works

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12 of 12 papers shown

Schlaeger, Sarah, Suprosanna Shit, Paul Eichinger, et al.. (2023). AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosis. Insights into Imaging. 14(1). 123–123. 7 indexed citations

Bussas, Matthias, Benedikt Wiestler, Paul Eichinger, et al.. (2021). Differential Effects of Fingolimod and Natalizumab on Magnetic Resonance Imaging Measures in Relapsing–Remitting Multiple Sclerosis. Neurotherapeutics. 18(4). 2589–2597. 1 indexed citations

Cabello, Jorge, Friederike Liesche‐Starnecker, Paul Eichinger, et al.. (2020). Imaging glioma biology: spatial comparison of amino acid PET, amide proton transfer, and perfusion-weighted MRI in newly diagnosed gliomas. European Journal of Nuclear Medicine and Molecular Imaging. 47(6). 1468–1475. 38 indexed citations

Finck, Tom, Hongwei Li, Paul Eichinger, et al.. (2020). Deep-Learning Generated Synthetic Double Inversion Recovery Images Improve Multiple Sclerosis Lesion Detection. Investigative Radiology. 55(5). 318–323. 40 indexed citations

Eichinger, Paul, Claus Zimmer, & Benedikt Wiestler. (2020). AI in Radiology: Where are we today in Multiple Sclerosis Imaging?. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 192(9). 847–853. 4 indexed citations

Lipková, Jana, Jens Gempt, Friederike Liesche‐Starnecker, et al.. (2020). Predicting Glioblastoma Recurrence from Preoperative MR Scans Using Fractional-Anisotropy Maps with Free-Water Suppression. Cancers. 12(3). 728–728. 29 indexed citations

Eichinger, Paul, Andreas Hock, Christine Preibisch, et al.. (2019). Acceleration of Double Inversion Recovery Sequences in Multiple Sclerosis With Compressed Sensing. Investigative Radiology. 54(6). 319–324. 27 indexed citations

Eichinger, Paul, Viola Pongratz, Haike Zhang, et al.. (2019). Accuracy of Unenhanced MRI in the Detection of New Brain Lesions in Multiple Sclerosis. Radiology. 291(2). 429–435. 43 indexed citations

Zhang, Haike, Esther Alberts, Viola Pongratz, et al.. (2018). Predicting conversion from clinically isolated syndrome to multiple sclerosis–An imaging-based machine learning approach. NeuroImage Clinical. 21. 101593–101593. 44 indexed citations

10.

Eichinger, Paul, Esther Alberts, Claire Delbridge, et al.. (2017). Diffusion tensor image features predict IDH genotype in newly diagnosed WHO grade II/III gliomas. Scientific Reports. 7(1). 13396–13396. 58 indexed citations

11.

Eichinger, Paul, Jan S. Kirschke, Muna‐Miriam Hoshi, et al.. (2017). Pre- and Postcontrast 3D Double Inversion Recovery Sequence in Multiple Sclerosis: A Simple and Effective MR Imaging Protocol. American Journal of Neuroradiology. 38(10). 1941–1945. 8 indexed citations

12.

Eichinger, Paul, Haike Zhang, Viola Biberacher, et al.. (2017). A novel imaging technique for better detecting new lesions in multiple sclerosis. Journal of Neurology. 264(9). 1909–1918. 15 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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