Christian Bergler

691 total citations
23 papers, 298 citations indexed

About

Christian Bergler is a scholar working on Ecology, Oceanography and Artificial Intelligence. According to data from OpenAlex, Christian Bergler has authored 23 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 7 papers in Oceanography and 7 papers in Artificial Intelligence. Recurrent topics in Christian Bergler's work include Marine animal studies overview (9 papers), Underwater Acoustics Research (7 papers) and Animal Vocal Communication and Behavior (6 papers). Christian Bergler is often cited by papers focused on Marine animal studies overview (9 papers), Underwater Acoustics Research (7 papers) and Animal Vocal Communication and Behavior (6 papers). Christian Bergler collaborates with scholars based in Germany, United Kingdom and United States. Christian Bergler's co-authors include Elmar Nöth, Andreas Maier, Volker Barth, Björn W. Schuller, Anton Batliner, Michael Weber, Shahin Amiriparian, Heribert Hofer, Simone Hantke and Maximilian Schmitt and has published in prestigious journals such as Scientific Reports, Pattern Recognition and Methods in Ecology and Evolution.

In The Last Decade

Christian Bergler

22 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Bergler Germany 10 101 99 94 78 56 23 298
Anurag Kumar United States 11 77 0.8× 62 0.6× 127 1.4× 46 0.6× 70 1.3× 36 333
Jean-François Motsch France 10 45 0.4× 62 0.6× 123 1.3× 17 0.2× 119 2.1× 29 295
Jidong Tao United States 10 60 0.6× 171 1.7× 33 0.4× 230 2.9× 12 0.2× 18 400
Tim Sainburg United States 7 156 1.5× 92 0.9× 62 0.7× 56 0.7× 9 0.2× 16 319
Vincent Lostanlen France 11 142 1.4× 250 2.5× 73 0.8× 51 0.7× 10 0.2× 35 401
Yannick Jadoul Italy 5 67 0.7× 101 1.0× 41 0.4× 114 1.5× 6 0.1× 17 338
Marvin Thielk United States 3 110 1.1× 60 0.6× 47 0.5× 29 0.4× 7 0.1× 6 237
Toby Gifford Australia 8 142 1.4× 58 0.6× 161 1.7× 38 0.5× 73 1.3× 33 358
Ivan Kiskin United Kingdom 6 42 0.4× 54 0.5× 16 0.2× 36 0.5× 3 0.1× 8 155
Jeppe Have Rasmussen United States 8 149 1.5× 52 0.5× 119 1.3× 19 0.2× 43 0.8× 11 271

Countries citing papers authored by Christian Bergler

Since Specialization
Citations

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

Fields of papers citing papers by Christian Bergler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Bergler

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Bergler. A scholar is included among the top collaborators of Christian Bergler 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 Christian Bergler. Christian Bergler 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.
Bergler, Christian, et al.. (2025). A scoping review of machine learning applications in power system protection and disturbance management. International Journal of Electrical Power & Energy Systems. 172. 111257–111257.
2.
Hsu, Magnus T. L., et al.. (2025). Deep machine learning allows classification of male and female songbird songs in a species with highly variable repertoires. Behaviour. 162(10-11). 709–743. 1 indexed citations
3.
Maier, Andreas, et al.. (2024). ANIMAL-CLEAN – A Deep Denoising Toolkit for Animal-Independent Signal Enhancement. 632–636. 2 indexed citations
4.
Gerczuk, Maurice, Anton Batliner, Christian Bergler, et al.. (2023). Classification of stuttering – The ComParE challenge and beyond. Computer Speech & Language. 81. 101519–101519. 6 indexed citations
5.
Gerczuk, Maurice, Anton Batliner, Christian Bergler, et al.. (2023). Classification of Stuttering – the Compare Challenge and Beyond. SSRN Electronic Journal. 2 indexed citations
6.
Brinkløv, Signe, Jamie Macaulay, Christian Bergler, et al.. (2023). Open‐source workflow approaches to passive acoustic monitoring of bats. Methods in Ecology and Evolution. 14(7). 1747–1763. 5 indexed citations
7.
Bergler, Christian, Maurice Gerczuk, Chloë Brown, et al.. (2023). A summary of the ComParE COVID-19 challenges. Frontiers in Digital Health. 5. 1058163–1058163. 7 indexed citations
8.
Hauer, Christoph, Elmar Nöth, Andreas Maier, et al.. (2023). ORCA-SPY enables killer whale sound source simulation, detection, classification and localization using an integrated deep learning-based segmentation. Scientific Reports. 13(1). 11106–11106. 3 indexed citations
9.
Bergler, Christian, Ammie K. Kalan, Signe Brinkløv, et al.. (2022). ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning. Scientific Reports. 12(1). 21966–21966. 17 indexed citations
10.
Bergler, Christian, et al.. (2022). ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning. Interspeech 2022. 2413–2417. 2 indexed citations
11.
Schuller, Björn W., Anton Batliner, Shahin Amiriparian, et al.. (2022). The ACM Multimedia 2022 Computational Paralinguistics Challenge. Proceedings of the 30th ACM International Conference on Multimedia. 7120–7124. 21 indexed citations
12.
Bergler, Christian, et al.. (2022). ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1046–1050. 1 indexed citations
13.
Bergler, Christian, Andreas Maier, Paul Spong, et al.. (2021). ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification. 2396–2400. 2 indexed citations
14.
Batliner, Anton, Christian Bergler, Simone Hantke, et al.. (2021). Face mask recognition from audio: The MASC database and an overview on the mask challenge. Pattern Recognition. 122. 108361–108361. 20 indexed citations
15.
Marzahl, Christian, Marc Aubreville, Christof Bertram, et al.. (2021). EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control. Scientific Reports. 11(1). 4343–4343. 17 indexed citations
16.
Bergler, Christian, et al.. (2021). FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales. Scientific Reports. 11(1). 23480–23480. 12 indexed citations
17.
Bergler, Christian, et al.. (2020). ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication. 1136–1140. 5 indexed citations
18.
Schuller, Björn W., Anton Batliner, Christian Bergler, et al.. (2020). The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks. 2042–2046. 28 indexed citations
19.
Bergler, Christian, et al.. (2019). Deep Learning for Orca Call Type Identification — A Fully Unsupervised Approach. 3357–3361. 5 indexed citations
20.
Bergler, Christian, Volker Barth, Michael Weber, et al.. (2019). ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning. Scientific Reports. 9(1). 10997–10997. 78 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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2026