Julia Neumann

713 total citations
14 papers, 417 citations indexed

About

Julia Neumann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Julia Neumann has authored 14 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Julia Neumann's work include Semantic Web and Ontologies (4 papers), Image and Signal Denoising Methods (3 papers) and Advanced Database Systems and Queries (2 papers). Julia Neumann is often cited by papers focused on Semantic Web and Ontologies (4 papers), Image and Signal Denoising Methods (3 papers) and Advanced Database Systems and Queries (2 papers). Julia Neumann collaborates with scholars based in Germany, France and Switzerland. Julia Neumann's co-authors include Gabriele Steidl, Christoph Schnörr, Gabriele Steidl, Till Westmann, Sven Helmer, Carl-Christian Kanne, Guido Moerkotte, Stephan Didas, Sascha Eichstädt and Adrian Paschke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Pattern Recognition.

In The Last Decade

Julia Neumann

13 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Neumann Germany 7 212 148 110 95 65 14 417
Xujun Zhao China 13 237 1.1× 99 0.7× 60 0.5× 106 1.1× 30 0.5× 33 479
Ilya Razenshteyn United States 11 216 1.0× 253 1.7× 100 0.9× 101 1.1× 32 0.5× 25 469
Mary Inaba Japan 10 193 0.9× 133 0.9× 215 2.0× 101 1.1× 18 0.3× 28 530
Ghufran Ahmad Khan China 12 284 1.3× 250 1.7× 78 0.7× 45 0.5× 19 0.3× 25 581
Julien Ugon Australia 14 205 1.0× 158 1.1× 83 0.8× 47 0.5× 62 1.0× 59 567
Mihai Bâdoiu United States 10 255 1.2× 200 1.4× 83 0.8× 101 1.1× 88 1.4× 15 565
Janine Camille Bennett United States 13 60 0.3× 184 1.2× 217 2.0× 54 0.6× 99 1.5× 41 578
Xiaoyao Xie China 10 116 0.5× 47 0.3× 162 1.5× 51 0.5× 20 0.3× 84 406
Laiwan Chan Hong Kong 15 364 1.7× 130 0.9× 45 0.4× 128 1.3× 26 0.4× 59 652
René Cumplido Mexico 14 322 1.5× 242 1.6× 135 1.2× 111 1.2× 13 0.2× 86 710

Countries citing papers authored by Julia Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Julia Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Neumann

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

All Works

14 of 14 papers shown
1.
Hippolyte, Jean-Laurent, et al.. (2023). Using Ontologies to Create Machine-Actionable Datasets: Two Case Studies. SHILAP Revista de lepidopterología. 3(1). 65–80. 5 indexed citations
2.
Neumann, Julia, et al.. (2021). Semantic Description of Quality of Data in Sensor Networks. Sensors. 21(19). 6462–6462. 14 indexed citations
3.
Eichstädt, Sascha, et al.. (2020). Semantic Information in Sensor Networks: How to Combine Existing Ontologies, Vocabularies and Data Schemes to Fit a Metrology Use Case. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 469–473. 12 indexed citations
4.
Hofmann, Annette, et al.. (2018). Plea for Uniform Regulation and Challenges of Implementing the New Insurance Distribution Directive. The Geneva Papers on Risk and Insurance Issues and Practice. 43(4). 740–769. 1 indexed citations
5.
Neumann, Julia, et al.. (2016). Geologically constrained 2D and 3D airborne EM inversion through cross-gradient regularization and multi-grid efficiency. ASEG Extended Abstracts. 2016(1). 1–6. 6 indexed citations
6.
Neumann, Julia, et al.. (2015). Geo-steered 3D Inversion of Airborne Electromagnetic Data in Rugged Terrain. Proceedings. 1 indexed citations
7.
Steidl, Gabriele, Stephan Didas, & Julia Neumann. (2006). Splines in Higher Order TV Regularization. International Journal of Computer Vision. 70(3). 241–255. 38 indexed citations
8.
Hobe, Stephan & Julia Neumann. (2005). Global and European challenges for space law at the edge of the 21st century. Space Policy. 21(4). 313–315.
9.
Neumann, Julia, Christoph Schnörr, & Gabriele Steidl. (2005). Combined SVM-Based Feature Selection and Classification. Machine Learning. 61(1-3). 129–150. 190 indexed citations
10.
Neumann, Julia, Christoph Schnörr, & Gabriele Steidl. (2005). Efficient wavelet adaptation for hybrid wavelet–large margin classifiers. Pattern Recognition. 38(11). 1815–1830. 10 indexed citations
11.
Neumann, Julia & Gabriele Steidl. (2005). DUAL-TREE COMPLEX WAVELET TRANSFORM IN THE FREQUENCY DOMAIN AND AN APPLICATION TO SIGNAL CLASSIFICATION. International Journal of Wavelets Multiresolution and Information Processing. 3(1). 43–65. 33 indexed citations
12.
Neumann, Julia, Christoph Schnörr, & Gabriele Steidl. (2003). Effectively Finding the Optimal Wavelet for Hybrid Wavelet - Large Margin Signal Classification. MADOC (University of Mannheim). 2 indexed citations
13.
Helmer, Sven, et al.. (2002). Natix: A Technology Overview. 3 indexed citations
14.
Helmer, Sven, et al.. (2002). Anatomy of a native XML base management system. The VLDB Journal. 11(4). 292–314. 102 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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