Hamid Eghbal-zadeh

784 total citations
20 papers, 323 citations indexed

About

Hamid Eghbal-zadeh is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Hamid Eghbal-zadeh has authored 20 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Hamid Eghbal-zadeh's work include Music and Audio Processing (12 papers), Speech and Audio Processing (6 papers) and Speech Recognition and Synthesis (5 papers). Hamid Eghbal-zadeh is often cited by papers focused on Music and Audio Processing (12 papers), Speech and Audio Processing (6 papers) and Speech Recognition and Synthesis (5 papers). Hamid Eghbal-zadeh collaborates with scholars based in Austria, Italy and United States. Hamid Eghbal-zadeh's co-authors include Gerhard Widmer, Jan Schlüter, Markus Schedl, Bogdan Ionescu, Yashar Deldjoo, Mihai Gabriel Constantin, Paolo Cremonesi, Matthias Dorfer, Andreu Vall and Maurizio Ferrari Dacrema and has published in prestigious journals such as Information Sciences, IEEE Transactions on Affective Computing and Journal of Computational Biology.

In The Last Decade

Hamid Eghbal-zadeh

18 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamid Eghbal-zadeh Austria 9 187 135 132 83 29 20 323
Mohamed Sordo Spain 11 289 1.5× 220 1.6× 113 0.9× 50 0.6× 90 3.1× 32 385
Andrés Ferraro Spain 5 127 0.7× 79 0.6× 79 0.6× 69 0.8× 24 0.8× 17 215
Ferdinand Fuhrmann Austria 8 164 0.9× 153 1.1× 78 0.6× 58 0.7× 43 1.5× 20 299
Dominik Roblek United States 6 239 1.3× 122 0.9× 221 1.7× 20 0.2× 33 1.1× 10 399
Laurent Besacier France 15 178 1.0× 148 1.1× 523 4.0× 34 0.4× 14 0.5× 73 665
Donghong Han China 10 52 0.3× 47 0.3× 181 1.4× 30 0.4× 29 1.0× 27 261
Alicja Wieczorkowska Poland 9 107 0.6× 71 0.5× 45 0.3× 27 0.3× 37 1.3× 26 208
Nicolas Wack Spain 10 477 2.6× 373 2.8× 65 0.5× 38 0.5× 116 4.0× 20 536
Márjory Da Costa‐Abreu Brazil 12 153 0.8× 127 0.9× 153 1.2× 136 1.6× 12 0.4× 47 366
Tristan Jehan United States 9 156 0.8× 147 1.1× 38 0.3× 23 0.3× 68 2.3× 19 244

Countries citing papers authored by Hamid Eghbal-zadeh

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Eghbal-zadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamid Eghbal-zadeh. 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 Hamid Eghbal-zadeh. The network helps show where Hamid Eghbal-zadeh may publish in the future.

Co-authorship network of co-authors of Hamid Eghbal-zadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Eghbal-zadeh. A scholar is included among the top collaborators of Hamid Eghbal-zadeh 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 Hamid Eghbal-zadeh. Hamid Eghbal-zadeh 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.
2.
Eghbal-zadeh, Hamid, Werner Zellinger, Maura Pintor, et al.. (2023). Rethinking data augmentation for adversarial robustness. Information Sciences. 654. 119838–119838. 4 indexed citations
3.
Patel, Dhruvesh, et al.. (2023). Pretrained Language Models as Visual Planners for Human Assistance. 15256–15268. 3 indexed citations
4.
Schlüter, Jan, et al.. (2022). Efficient Training of Audio Transformers with Patchout. Interspeech 2022. 2753–2757. 112 indexed citations
5.
Eghbal-zadeh, Hamid, et al.. (2021). Receptive Field Regularization Techniques for Audio Classification and Tagging With Deep Convolutional Neural Networks. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 1987–2000. 31 indexed citations
6.
Zellinger, Werner, et al.. (2021). The balancing principle for parameter choice in distance-regularized domain adaptation. Neural Information Processing Systems. 34.
7.
Eghbal-zadeh, Hamid, et al.. (2021). Learning to Infer Unseen Contexts in Causal Contextual Reinforcement Learning. International Conference on Learning Representations. 2 indexed citations
8.
Deldjoo, Yashar, Maurizio Ferrari Dacrema, Mihai Gabriel Constantin, et al.. (2019). Movie genome: alleviating new item cold start in movie recommendation. User Modeling and User-Adapted Interaction. 29(2). 291–343. 49 indexed citations
9.
Eghbal-zadeh, Hamid, et al.. (2019). Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs. MediaEval. 2 indexed citations
10.
Vogl, Richard, Hamid Eghbal-zadeh, & Peter Knees. (2019). An automatic drum machine with touch UI based on a generative neural network. 91–92. 1 indexed citations
11.
Vall, Andreu, et al.. (2019). Feature-combination hybrid recommender systems for automated music playlist continuation. User Modeling and User-Adapted Interaction. 29(2). 527–572. 38 indexed citations
12.
Deldjoo, Yashar, Mihai Gabriel Constantin, Hamid Eghbal-zadeh, et al.. (2018). Audio-visual encoding of multimedia content for enhancing movie recommendations. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 455–459. 24 indexed citations
13.
Eghbal-zadeh, Hamid, Lukas Fischer, Niko Popitsch, et al.. (2018). DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data. Journal of Computational Biology. 26(6). 572–596. 2 indexed citations
14.
Schedl, Markus, et al.. (2017). On the Interrelation Between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music. IEEE Transactions on Affective Computing. 9(4). 507–525. 21 indexed citations
15.
Eghbal-zadeh, Hamid & Gerhard Widmer. (2016). Noise Robust Music Artist Recognition Using I-Vector Features.. Zenodo (CERN European Organization for Nuclear Research). 709–715. 1 indexed citations
16.
Schedl, Markus, Hamid Eghbal-zadeh, Emília Gómez, & Marko Tkalčič. (2016). An Analysis Of Agreement In Classical Music Perception And Its Relationship To Listener Characteristics.. International Symposium/Conference on Music Information Retrieval. 578–583. 3 indexed citations
17.
Eghbal-zadeh, Hamid, Markus Schedl, & Gerhard Widmer. (2015). Timbral modeling for music artist recognition using i-vectors. 1286–1290. 12 indexed citations
18.
Eghbal-zadeh, Hamid, Bernhard Lehner, Markus Schedl, & Gerhard Widmer. (2015). I-VECTORS FOR TIMBRE-BASED MUSIC SIMILARITY AND MUSIC ARTIST CLASSIFICATION. Zenodo (CERN European Organization for Nuclear Research). 554–560. 9 indexed citations
19.
Eghbal-zadeh, Hamid, et al.. (2012). Persica: A Persian corpus for multi-purpose text mining and natural language processing. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 1207–1214. 8 indexed citations
20.
Sameti, Hossein, et al.. (2010). Niusha, the first Persian speech-enabled IVR platform. 43. 591–595. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mohamed Sordo Breakdown of academic impact, for papers by Andrés Ferraro Breakdown of academic impact, for papers by Ferdinand Fuhrmann Breakdown of academic impact, for papers by Dominik Roblek Breakdown of academic impact, for papers by Laurent Besacier Breakdown of academic impact, for papers by Donghong Han Breakdown of academic impact, for papers by Alicja Wieczorkowska Breakdown of academic impact, for papers by Nicolas Wack Breakdown of academic impact, for papers by Márjory Da Costa‐Abreu Breakdown of academic impact, for papers by Tristan Jehan
Rankless by CCL
2026