Hamid Eghbal-zadeh

818 citations
20 papers · 344 · h-index 9

Impact in

Papers in

Hamid Eghbal-zadeh

19 papers receiving 329 citations

Peers

Hamid Eghbal-zadeh
Comparison fields: 5 of 61
  • Signal Processing 198
  • Computer Vision and Pattern Recognition 141
  • Developmental Biology 10
  • Artificial Intelligence 136
  • Information Systems 84
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Hamid Eghbal-zadeh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hamid Eghbal-zadeh Line = papers co-authored together Hamid Eghbal-zadeh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2022124
2 201949
3 201940
4 202132
5 201824
6 201722
7 201512
8 20159
9 20128
10 20236
11 20235
12 20163
13
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs
20192
14
Learning to Infer Unseen Contexts in Causal Contextual Reinforcement Learning
20212
15 20182
16 20161
17 20191
18 20251
19 20101
20
The balancing principle for parameter choice in distance-regularized domain adaptation
20210

About Hamid Eghbal-zadeh

Hamid Eghbal-zadeh is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Cognitive Neuroscience, having authored 20 papers that have together received 344 indexed citations. Recurring topics across this work include Music and Audio Processing (12 papers), Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (5 papers), Music Technology and Sound Studies (4 papers), Context-Aware Activity Recognition Systems (2 papers), Neuroscience and Music Perception (2 papers), Recommender Systems and Techniques (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Signal Processing (198 citations), Computer Vision and Pattern Recognition (141 citations), Developmental Biology (10 citations), Artificial Intelligence (136 citations) and Information Systems (84 citations). Hamid Eghbal-zadeh has collaborated with scholars based in Austria, Italy and United States. Frequent co-authors include Gerhard Widmer, Khaled Koutini, Jan Schlüter, Markus Schedl, Mihai Gabriel Constantin, Paolo Cremonesi, Yashar Deldjoo, Bogdan Ionescu, Andreu Vall and Matthias Dorfer. Their work appears in journals such as User Modeling and User-Adapted Interaction, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Affective Computing, Journal of Computational Biology and Information Sciences.

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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