Ingrid Ullmann

522 total citations
54 papers, 296 citations indexed

About

Ingrid Ullmann is a scholar working on Biomedical Engineering, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ingrid Ullmann has authored 54 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 27 papers in Aerospace Engineering and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Ingrid Ullmann's work include Advanced SAR Imaging Techniques (17 papers), Microwave Imaging and Scattering Analysis (16 papers) and Geophysical Methods and Applications (8 papers). Ingrid Ullmann is often cited by papers focused on Advanced SAR Imaging Techniques (17 papers), Microwave Imaging and Scattering Analysis (16 papers) and Geophysical Methods and Applications (8 papers). Ingrid Ullmann collaborates with scholars based in Germany, Netherlands and Brazil. Ingrid Ullmann's co-authors include Martin Vossiek, Alexander Yarovoy, Francesco Fioranelli, Marcel Hoffmann, Randolf Ebelt, K. Lomakin, Gerald Gold, K. Helmreich, Andreas Halm and Christina Knill and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Ingrid Ullmann

44 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingrid Ullmann Germany 9 132 110 105 37 25 54 296
Simon Kueppers Germany 13 229 1.7× 279 2.5× 170 1.6× 15 0.4× 17 0.7× 26 455
Maximilian Lübke Germany 12 173 1.3× 161 1.5× 108 1.0× 28 0.8× 15 0.6× 49 374
Yongpeng Dai China 13 267 2.0× 88 0.8× 293 2.8× 63 1.7× 44 1.8× 36 451
Bong-Seok Kim South Korea 10 126 1.0× 137 1.2× 101 1.0× 21 0.6× 7 0.3× 71 342
R. Ricci Italy 8 67 0.5× 48 0.4× 96 0.9× 46 1.2× 17 0.7× 22 359
Lingling Wang China 10 104 0.8× 105 1.0× 28 0.3× 79 2.1× 15 0.6× 20 310
Florian Ries Germany 14 67 0.5× 46 0.4× 79 0.8× 20 0.5× 18 0.7× 38 438
Łukasz Zwirełło Germany 12 291 2.2× 358 3.3× 198 1.9× 20 0.5× 100 4.0× 39 500
Shelly Vishwakarma United Kingdom 13 150 1.1× 126 1.1× 141 1.3× 62 1.7× 26 1.0× 28 318
Rui Cao China 11 138 1.0× 31 0.3× 94 0.9× 24 0.6× 20 0.8× 31 311

Countries citing papers authored by Ingrid Ullmann

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Ullmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingrid Ullmann

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

All Works

20 of 20 papers shown
1.
2.
Mueller, Jonas, Eréndira Rendón, Eva Dorschky, et al.. (2025). Advanced Millimeter Wave Radar-Based Human Pose Estimation Enabled by a Deep Learning Neural Network Trained With Optical Motion Capture Ground Truth Data. IEEE Journal of Microwaves. 5(2). 373–387.
3.
Ullmann, Ingrid, et al.. (2025). Inverse Rendering of Near-Field mmWave MIMO Radar for Material Reconstruction. IEEE Journal of Microwaves. 5(2). 356–372.
4.
Heim, Christian, Jiaqi Li, H. Ermert, et al.. (2024). Magnetomotive Displacement of Magnetic Nanoparticles in Different Tissue Phantoms. SHILAP Revista de lepidopterología. 10(4). 324–327.
5.
Pavan, Theo Z., Ingrid Ullmann, Christian Heim, et al.. (2024). A Review on Ultrasound-based Methods to Image the Distribution of Magnetic Nanoparticles in Biomedical Applications. Ultrasound in Medicine & Biology. 51(2). 210–234. 4 indexed citations
6.
Heim, Christian, Taimur Saleem, Stefan J. Rupitsch, et al.. (2024). D1.4 - Modelling and Construction of Complex Shaped Polyvinyl Alcohol based Ultrasound Phantoms for Inverse Magnetomotive Ultrasound Imaging. FreiDok plus (Universitätsbibliothek Freiburg). 313–318.
7.
Richer, Robert, Ingrid Ullmann, Matthias Braun, et al.. (2024). A Review and Tutorial on Machine Learning-Enabled Radar-Based Biomedical Monitoring. IEEE Open Journal of Engineering in Medicine and Biology. 5. 680–699. 9 indexed citations
8.
Ullmann, Ingrid, Michelangelo Villano, Robert Schober, et al.. (2024). Towards Detecting Climate Change Effects With UAV-Borne Imaging Radars. SHILAP Revista de lepidopterología. 4(4). 881–893. 5 indexed citations
9.
Ullmann, Ingrid, et al.. (2023). Motion Parameter Estimation of Free-Floating Space Debris Objects Based on MIMO Radar. IEEE Transactions on Radar Systems. 1. 681–697.
10.
Ullmann, Ingrid & Martin Vossiek. (2023). A Novel, Efficient Algorithm for Subsurface Radar Imaging below a Non-Planar Surface. Sensors. 23(22). 9021–9021. 1 indexed citations
11.
Ullmann, Ingrid, et al.. (2023). An Ultra-Efficient Approach for High-Resolution MIMO Radar Imaging of Human Hand Poses. IEEE Transactions on Radar Systems. 1. 468–480. 8 indexed citations
12.
Ullmann, Ingrid, et al.. (2022). Chipless RFID Polarimetric Radar Barcodes Encoded by Dipole Scattering Domains. SHILAP Revista de lepidopterología. 2(3). 470–479. 3 indexed citations
13.
Knill, Christina, Ingrid Ullmann, Irena Hajnsek, et al.. (2022). Taking a Look Beneath the Surface: Multicopter UAV-Based Ground-Penetrating Imaging Radars. IEEE Microwave Magazine. 23(10). 32–46. 24 indexed citations
14.
Hoffmann, Marcel, et al.. (2022). Deep Learning Based Image Enhancement for Automotive Radar Trained With an Advanced Virtual Sensor. IEEE Access. 10. 40419–40431. 12 indexed citations
15.
Gumbmann, Frank, et al.. (2022). Improved Threat Detection in Walk-Through Security Scanning Using an Optimized Polarimetric Target Decomposition Method. SHILAP Revista de lepidopterología. 3(1). 16–28. 6 indexed citations
16.
Hoffmann, Marcel, et al.. (2021). A Realistic Radar Ray Tracing Simulator for Large MIMO-Arrays in Automotive Environments. SHILAP Revista de lepidopterología. 1(4). 962–974. 35 indexed citations
17.
Ullmann, Ingrid & Martin Vossiek. (2021). A Computationally Efficient Reconstruction Approach for Imaging Layered Dielectrics With Sparse MIMO Arrays. SHILAP Revista de lepidopterología. 1(2). 659–665. 1 indexed citations
18.
Ullmann, Ingrid, et al.. (2020). Automated Defect Detection for Non-Destructive Evaluation by Radar Imaging and Machine Learning. German Microwave Conference. 25–28. 7 indexed citations
19.
Ullmann, Ingrid, et al.. (2019). SAR Based Non-Destructive Evaluation of Irregularly Shaped Objects with Simultaneous Estimation of Geometry and Permittivity. European Radar Conference. 6 indexed citations
20.
Ullmann, Ingrid, et al.. (2018). Non-destructive testing of arbitrarily shaped refractive objects with millimetre-wave synthetic aperture radar imaging. Journal of sensors and sensor systems. 7(1). 309–317. 17 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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