Andreas Nürnberger

5.8k total citations · 2 hit papers
176 papers, 2.5k citations indexed

About

Andreas Nürnberger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Andreas Nürnberger has authored 176 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Artificial Intelligence, 51 papers in Computer Vision and Pattern Recognition and 38 papers in Information Systems. Recurrent topics in Andreas Nürnberger's work include Image Retrieval and Classification Techniques (24 papers), Neural Networks and Applications (23 papers) and Topic Modeling (21 papers). Andreas Nürnberger is often cited by papers focused on Image Retrieval and Classification Techniques (24 papers), Neural Networks and Applications (23 papers) and Topic Modeling (21 papers). Andreas Nürnberger collaborates with scholars based in Germany, United States and Spain. Andreas Nürnberger's co-authors include Andreas Hotho, Gerhard Paaß, Rudolf Kruse, Jan M. Köhler, Tim Genewein, William Beluch, Stefan Langer, Joeran Beel, Marcel Genzmehr and Sebastian Stober and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Cerebral Cortex.

In The Last Decade

Andreas Nürnberger

159 papers receiving 2.3k citations

Hit Papers

A Brief Survey of Text Mining 2005 2026 2012 2019 2005 2018 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Brief Survey of Text Mining
    2005 562 citations Andreas Nürnberger et al. profile →
  2. The Power of Ensembles for Active Learning in Image Classification
    2018 336 citations Andreas Nürnberger et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Nürnberger Germany 23 1.3k 674 531 200 161 176 2.5k
Ruimin Shen China 24 698 0.5× 804 1.2× 572 1.1× 95 0.5× 94 0.6× 115 2.5k
Pilsung Kang South Korea 31 1.1k 0.8× 462 0.7× 326 0.6× 351 1.8× 219 1.4× 112 3.0k
Jaegul Choo South Korea 27 1.3k 1.0× 311 0.5× 1.2k 2.2× 280 1.4× 90 0.6× 159 2.7k
Fu Lee Wang Hong Kong 32 1.4k 1.1× 762 1.1× 654 1.2× 85 0.4× 47 0.3× 243 3.4k
Sungzoon Cho South Korea 31 1.0k 0.8× 479 0.7× 465 0.9× 376 1.9× 306 1.9× 129 2.6k
George D. Magoulas United Kingdom 28 1.1k 0.9× 452 0.7× 366 0.7× 98 0.5× 169 1.0× 145 2.8k
Raheel Nawaz United Kingdom 29 1.1k 0.8× 453 0.7× 363 0.7× 105 0.5× 203 1.3× 161 2.9k
Sriparna Saha India 34 3.1k 2.4× 373 0.6× 1.0k 2.0× 246 1.2× 273 1.7× 339 5.1k
Abeer Alsadoon Australia 26 1.1k 0.8× 427 0.6× 688 1.3× 156 0.8× 57 0.4× 196 2.9k
Giovanni Acampora Italy 27 1.3k 1.0× 448 0.7× 557 1.0× 198 1.0× 190 1.2× 177 2.5k

Countries citing papers authored by Andreas Nürnberger

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Nürnberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Nürnberger

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Nürnberger. A scholar is included among the top collaborators of Andreas Nürnberger 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 Andreas Nürnberger. Andreas Nürnberger 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.
Chatterjee, Soumick, et al.. (2024). DDoS-UNet: Incorporating Temporal Information Using Dynamic Dual-Channel UNet for Enhancing Super-Resolution of Dynamic MRI. IEEE Access. 12. 99122–99136. 3 indexed citations
2.
Chatterjee, Soumick, et al.. (2023). MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent. Computerized Medical Imaging and Graphics. 108. 102267–102267. 2 indexed citations
3.
Nürnberger, Andreas, et al.. (2023). Morpheme-Based Neural Machine Translation Models for Low-Resource Fusion Languages. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(9). 1–19. 3 indexed citations
4.
Xu, Jiahua, Mircea Ariel Schoenfeld, Paolo Maria Rossini, et al.. (2022). Adaptive and Maladaptive Brain Functional Network Reorganization After Stroke in Hemianopia Patients: An Electroencephalogram-Tracking Study. Brain Connectivity. 12(8). 725–739. 5 indexed citations
5.
Wu, Zheng, Jiahua Xu, Andreas Nürnberger, & Bernhard A. Sabel. (2022). Global brain network modularity dynamics after local optic nerve damage following noninvasive brain stimulation: an EEG-tracking study. Cerebral Cortex. 33(8). 4729–4739. 5 indexed citations
6.
Chatterjee, Soumick, et al.. (2022). TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models. Preprints.org. 2 indexed citations
7.
Chatterjee, Soumick, et al.. (2022). ReconResNet: Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data. Computers in Biology and Medicine. 143. 105321–105321. 22 indexed citations
8.
Nürnberger, Andreas, et al.. (2021). Leakage Localization in District Heating Networks Based on Real Network and Measurement Data. Energy Reports. 7. 508–516. 4 indexed citations
9.
Garcı́a-Serrano, Ana, et al.. (2021). Computational Reproducibility of Named Entity Recognition methods in the biomedical domain. Procesamiento del lenguaje natural. 66(66). 141–152.
10.
11.
Nürnberger, Andreas, et al.. (2018). Portable Spelling Corrector for a Less-Resourced Language: Amharic. Language Resources and Evaluation. 4 indexed citations
12.
Low, Thomas, et al.. (2015). Ontology-supported Exploratory Search for Physical Training Exercises.. International Semantic Web Conference. 1 indexed citations
13.
Nürnberger, Andreas, et al.. (2012). Literature Review of Interactive Cross Language Information Retrieval Tools. The International Arab Journal of Information Technology. 9. 479–486. 10 indexed citations
14.
Nürnberger, Andreas, et al.. (2011). A web statistics based conflation approach to improve Arabic text retrieval. Federated Conference on Computer Science and Information Systems. 3–9. 5 indexed citations
15.
Catarci, Tiziana, et al.. (2011). A Survey of Context-Aware Cross-Digital Library Personalization. Lecture notes in computer science. 16–30. 2 indexed citations
16.
Nürnberger, Andreas, et al.. (2009). SUPPORTING FOLK-SONG RESEARCH BY AUTOMATIC METRIC LEARNING AND RANKING. Data Archiving and Networked Services (DANS). 741–746. 8 indexed citations
17.
Nürnberger, Andreas, et al.. (2007). Network analysis in natural sciences and engineering. AI Communications. 20(4). 229–230. 13 indexed citations
18.
Luca, Ernesto William De & Andreas Nürnberger. (2006). Rebuilding Lexical Resources for Information Retrieval using Sense Folder Detection and Merging Methods. Language Resources and Evaluation. 99–102. 7 indexed citations
19.
Luca, Ernesto William De, et al.. (2004). Multimedia Retrieval: Fundamental Techniques and Principles of Adaptivity.. Künstliche Intell.. 18. 5–10. 3 indexed citations
20.
Nürnberger, Andreas, et al.. (2001). Interactive retrieval of multimedia objects based on self-organising maps.. European Society for Fuzzy Logic and Technology Conference. 377–380. 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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