Alexander Schindler

899 total citations
50 papers, 458 citations indexed

About

Alexander Schindler is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Alexander Schindler has authored 50 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Alexander Schindler's work include Music and Audio Processing (12 papers), Music Technology and Sound Studies (8 papers) and Photonic and Optical Devices (7 papers). Alexander Schindler is often cited by papers focused on Music and Audio Processing (12 papers), Music Technology and Sound Studies (8 papers) and Photonic and Optical Devices (7 papers). Alexander Schindler collaborates with scholars based in Austria, Germany and Vietnam. Alexander Schindler's co-authors include Andreas Rauber, Reinhard König, T. Herrmannsdörfer, Ulrich Winkler, B. Düsterberg, Jan Endrikat, Bernhard Haslhofer, Thomas Lidy, Rudolf Mayer and Wilfried Sihn and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

Alexander Schindler

42 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Schindler Austria	11	90	59	54	47	46	50	458
Wanli Chen China	14	13 0.1×	54 0.9×	109 2.0×	12 0.3×	10 0.2×	30	474
Yu Duan China	15	7 0.1×	15 0.3×	48 0.9×	7 0.1×	48 1.0×	85	596
Xueyao Li China	15	66 0.7×	58 1.0×	76 1.4×	2 0.0×	3 0.1×	79	648
Xianglong Kong China	14	30 0.3×	35 0.6×	126 2.3×	3 0.1×	11 0.2×	71	680
Maninder Singh India	10	34 0.4×	29 0.5×	204 3.8×	87 1.9×	11 0.2×	34	644
Xulei Qin United States	15	17 0.2×	28 0.5×	56 1.0×	2 0.0×	18 0.4×	43	679
Patrick Vogel Germany	19	17 0.2×	33 0.6×	14 0.3×	10 0.2×	122 2.7×	56	1.2k
Han Zhao China	9	53 0.6×	18 0.3×	20 0.4×	15 0.3×	4 0.1×	30	341
Zewei Chen China	10	8 0.1×	42 0.7×	36 0.7×	24 0.5×	30 0.7×	55	300
Chenlu Li China	11	21 0.2×	44 0.7×	43 0.8×	4 0.1×	37 0.8×	64	380

Countries citing papers authored by Alexander Schindler

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Schindler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Schindler

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

All Works

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20 of 20 papers shown

Pham, Lam, et al.. (2025). DIN-CTS: Low-Complexity Depthwise-Inception Neural Network with Contrastive Training Strategy for Deepfake Speech Detection. 556–560.

Pham, Lam, Dat Q. Tran, Tin Nguyen, et al.. (2025). A comprehensive survey with critical analysis for deepfake speech detection. Computer Science Review. 57. 100757–100757. 3 indexed citations

Pham, Lam, et al.. (2024). Neural Network with Optical Frequency-Coded ReLU. Zenodo (CERN European Organization for Nuclear Research). M4C.2–M4C.2. 2 indexed citations

Pham, Lam, et al.. (2024). Photonic Neuron With on Frequency-Domain ReLU Activation Function. Journal of Lightwave Technology. 42(22). 7919–7928. 1 indexed citations

Pham, Lam, et al.. (2024). Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Networks. 9582–9586. 2 indexed citations

Schindler, Alexander, Trung Thanh Tran, Robert Elschner, et al.. (2024). Experimental Characterization of a WR3-Coupled Photodiode Transmitter for High-Speed Terahertz Wireless Communication. 1–4.

Pham, Lam, et al.. (2023). Lightweight deep neural networks for acoustic scene classification and an effective visualization for presenting sound scene contexts. Applied Acoustics. 211. 109489–109489. 5 indexed citations

Pham, Lam, et al.. (2023). Robust, General, and Low Complexity Acoustic Scene Classification Systems and an Effective Visualization For Presenting a Sound Scene Context. SSRN Electronic Journal. 2 indexed citations

Pham, Lam, et al.. (2022). An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. 23–28. 5 indexed citations

10.

Schindler, Alexander, et al.. (2022). Low Crosstalk InP-Based Arrayed Waveguide Grating PIC. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–2. 4 indexed citations

11.

Schindler, Alexander, et al.. (2021). Inverse Design Strategies for Large Passive Waveguide Structures. IEEE Photonics Technology Letters. 33(5). 259–262. 6 indexed citations

12.

Slijepčević, Djordje, et al.. (2021). Automatic Sexism Detection with Multilingual Transformer Models AIT FHSTP@EXIST2021.. 346–355.

13.

Schindler, Alexander, et al.. (2020). Machine Learning Interpretability Techniques for Outage Prediction: A Comparative Study. PHM Society European Conference. 5(1). 10–10. 6 indexed citations

14.

Wiesmeyr, Christoph, Heinrich Garn, Bernhard Kohn, et al.. (2020). Comparison of PSG signals and Respiratory Movement Signal via 3D Camera in Detecting Sleep Respiratory Events by LSTM Models. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 919–923. 2 indexed citations

15.

Schindler, Alexander, et al.. (2019). Understandable Deep Neural Networks for Predictive Maintenance in the Manufacturing Industry.. ERCIM news/ERCIM news online edition. 2019. 2 indexed citations

16.

Fensel, Dieter, Victor de Boer, Elmar Kiesling, et al.. (2018). Proceedings of the 14th International Conference on Semantic Systems, SEMANTICS 2018, Vienna, Austria, September 10-13, 2018. Data Archiving and Networked Services (DANS). 137.

17.

Schindler, Alexander, et al.. (2017). A Multi-modal Deep Neural Network approach to Bird-song identification.. CLEF (Working Notes). 4 indexed citations

18.

Schindler, Alexander, et al.. (2013). A novel direct coupling of simultaneous thermal analysis (STA) and Fourier transform-infrared (FT-IR) spectroscopy. Journal of Thermal Analysis and Calorimetry. 113(3). 1091–1102. 38 indexed citations

19.

Huber-Mörk, Reinhold, et al.. (2012). Duplicate Detection for Quality Assurance of Document Image Collections.. iPRES.

20.

Winkler, Ulrich, Alexander Schindler, Jan Endrikat, & B. Düsterberg. (1996). A comparative study of the effects of the hemostatic system of two monophasic gestodene oral contraceptives containing 20 μg and 30 μg ethinylestradiol. Contraception. 53(2). 75–84. 61 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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