Anna Kruspe

1.7k total citations · 1 hit paper
27 papers, 694 citations indexed

About

Anna Kruspe is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anna Kruspe has authored 27 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anna Kruspe's work include Music and Audio Processing (13 papers), Speech Recognition and Synthesis (10 papers) and Speech and Audio Processing (9 papers). Anna Kruspe is often cited by papers focused on Music and Audio Processing (13 papers), Speech Recognition and Synthesis (10 papers) and Speech and Audio Processing (9 papers). Anna Kruspe collaborates with scholars based in Germany, Switzerland and Netherlands. Anna Kruspe's co-authors include Xiao Xiang Zhu, Jakob Gawlikowski, Wen Yang, Matthias Humt, Jianxiang Feng, Rudolph Triebel, Mohsin Ali, Jong‐Seok Lee, Richard Bamler and Muhammad Shahzad and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Anna Kruspe

26 papers receiving 675 citations

Hit Papers

A survey of uncertainty in deep neural networks 2023 2026 2024 2025 2023 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 survey of uncertainty in deep neural networks
    2023 509 citations Jakob Gawlikowski, Mohsin Ali et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Kruspe Germany 10 299 125 79 72 48 27 694
Jeff Heaton United States 9 290 1.0× 123 1.0× 93 1.2× 47 0.7× 37 0.8× 16 849
Jakob Gawlikowski Germany 7 243 0.8× 101 0.8× 30 0.4× 78 1.1× 52 1.1× 13 633
Cheng Tan China 12 325 1.1× 250 2.0× 53 0.7× 49 0.7× 52 1.1× 41 1.0k
Youngdoo Son South Korea 15 309 1.0× 127 1.0× 41 0.5× 51 0.7× 30 0.6× 47 842
Zhangyang Gao China 10 287 1.0× 218 1.7× 54 0.7× 29 0.4× 32 0.7× 32 769
Kun Zhao China 12 196 0.7× 153 1.2× 32 0.4× 35 0.5× 32 0.7× 47 711
Xingjian Li China 14 335 1.1× 175 1.4× 53 0.7× 42 0.6× 18 0.4× 57 782
Ian Nabney United Kingdom 7 285 1.0× 162 1.3× 97 1.2× 88 1.2× 48 1.0× 20 860

Countries citing papers authored by Anna Kruspe

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kruspe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Kruspe

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Kruspe. A scholar is included among the top collaborators of Anna Kruspe 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 Anna Kruspe. Anna Kruspe 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.
Gawlikowski, Jakob, Mohsin Ali, Jong‐Seok Lee, et al.. (2023). A survey of uncertainty in deep neural networks. Artificial Intelligence Review. 56(S1). 1513–1589. 509 indexed citations breakdown →
2.
Sun, Yao, Anna Kruspe, Liqiu Meng, et al.. (2023). TOWARDS LARGE-SCALE BUILDING ATTRIBUTE MAPPING USING CROWDSOURCED IMAGES: SCENE TEXT RECOGNITION ON FLICKR AND PROBLEMS TO BE SOLVED. SHILAP Revista de lepidopterología. XLVIII-1/W2-2023. 225–232. 1 indexed citations
3.
Gawlikowski, Jakob, Sudipan Saha, Anna Kruspe, & Xiao Xiang Zhu. (2022). An Advanced Dirichlet Prior Network for Out-of-Distribution Detection in Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–19. 36 indexed citations
4.
Kruspe, Anna, et al.. (2022). Impact of Training Set Size on the Ability of Deep Neural Networks to Deal with Omission Noise. SHILAP Revista de lepidopterología. 3. 9 indexed citations
5.
Kruspe, Anna, Jens Kersten, & Friederike Klan. (2021). Review article: Detection of actionable tweets in crisis events. Natural hazards and earth system sciences. 21(6). 1825–1845. 17 indexed citations
6.
Kruspe, Anna, et al.. (2021). An OpenStreetMap-Based Dataset of Building Footprints for Analysing Different Types of Label Noise. elib (German Aerospace Center). 2. 2321–2324. 1 indexed citations
7.
Kruspe, Anna, Jens Kersten, & Friederike Klan. (2020). Review article: Detection of informative tweets in crisis events. elib (German Aerospace Center). 4 indexed citations
8.
Gawlikowski, Jakob, Michael Schmitt, Anna Kruspe, & Xiao Xiang Zhu. (2020). On the Fusion Strategies of Sentinel-1 and Sentinel-2 Data for Local Climate Zone Classification. elib (German Aerospace Center). 10 indexed citations
9.
Kersten, Jens, Anna Kruspe, Matti Wiegmann, & Friederike Klan. (2019). Robust filtering of crisis-related tweets.. elib (German Aerospace Center). 10 indexed citations
10.
Kruspe, Anna, Jens Kersten, & Friederike Klan. (2019). Detecting event-related tweets by example using few-shot models.. elib (German Aerospace Center). 5 indexed citations
11.
Kruspe, Anna, et al.. (2017). Automatic speech/music discrimination for broadcast signals. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 151–162. 6 indexed citations
12.
Kruspe, Anna. (2016). Bootstrapping A System For Phoneme Recognition And Keyword Spotting In Unaccompanied Singing.. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 358–364. 12 indexed citations
13.
Kruspe, Anna. (2016). Retrieval of Textual Song Lyrics from Sung Inputs. 2140–2144. 4 indexed citations
14.
Kruspe, Anna. (2015). Keyword spotting in singing with duration-modeled HMMs. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 3658. 1291–1295. 2 indexed citations
15.
Kruspe, Anna. (2014). Keyword Spotting In A-Capella Singing.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 271–276. 10 indexed citations
16.
Kruspe, Anna, Jakob Abeßer, & Christian Dittmar. (2014). A GMM approach to singing language identification. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 3 indexed citations
17.
Kruspe, Anna. (2014). IMPROVING SINGING LANGUAGE IDENTIFICATION THROUGH I-VECTOR EXTRACTION. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 227–233. 2 indexed citations
18.
Kruspe, Anna, et al.. (2011). Towards cross-modal search and synchronization of music and video streams. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
19.
Kruspe, Anna, et al.. (2011). Automatic Classification of Musical Pieces Into Global Cultural Areas. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 8 indexed citations
20.
Kruspe, Anna, Hanna Lukashevich, & Jakob Abeßer. (2011). Artist filtering for non-western music classification. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 82–87. 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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