Amir Zadeh
- Artificial Intelligence top 0.5%
- Experimental and Cognitive Psychology top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 1%
- Social Psychology top 2%
- Co-authors
- Louis–Philippe MorencyTadas BaltrušaitisYao Chong LimSoujanya PoriaErik CambriaPaul Pu LiangDevamanyu HazarikaEli Pincus
- Topics
- Multimodal Machine Learning Applications (11 papers)Topic Modeling (8 papers)Sentiment Analysis and Opinion Mining (6 papers)
- Cited by
- Experimental and Cognitive PsychologyArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaACM Computing SurveysInformation Fusion
- Partner nations
- United StatesSingaporeMexico
In The Last Decade
Amir Zadeh
29 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 2.4k
- Experimental and Cognitive Psychology 1.6k
- Computer Vision and Pattern Recognition 1.2k
- Signal Processing 588
- Social Psychology 511
Countries citing papers authored by Amir Zadeh
This map shows the geographic impact of Amir 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 Amir Zadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Zadeh more than expected).
Fields of papers citing papers by Amir Zadeh
This network shows the impact of papers produced by Amir 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 Amir Zadeh. The network helps show where Amir Zadeh may publish in the future.
Co-authorship network of co-authors of Amir Zadeh
This figure shows the co-authorship network connecting the top 25 collaborators of Amir Zadeh. A scholar is included among the top collaborators of Amir 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 Amir Zadeh. Amir Zadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 63 | |
| 5 | 5 | |
| 6 | 45 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | M-BERT: Injecting Multimodal Information in the BERT Structure | 17 |
| 10 | Variational Auto-Decoder: Neural Generative Modeling from Partial Data | 1 |
| 11 | Learning Factorized Multimodal Representations | 28 |
| 12 | Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videosbreakdown → | 294 |
| 13 | OpenFace 2.0: Facial Behavior Analysis Toolkitbreakdown → | 1082 |
| 14 | 63 | |
| 15 | 142 | |
| 16 | Context-Dependent Sentiment Analysis in User-Generated Videosbreakdown → | 531 |
| 17 | 134 | |
| 18 | Deep Constrained Local Models for Facial Landmark Detection. | 7 |
| 19 | Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messagesbreakdown → | 441 |
| 20 | Parsing Morphologically Rich Languages with (Mostly) Off-The-Shelf Software and Word Vectors | 3 |
About Amir Zadeh
Amir Zadeh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 30 papers that have together received 3.9k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (11 papers), Topic Modeling (8 papers) and Sentiment Analysis and Opinion Mining (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.6k citations), Artificial Intelligence (2.4k citations) and Computer Vision and Pattern Recognition (1.2k citations). Amir Zadeh has collaborated with scholars based in United States, Singapore and Mexico. Frequent co-authors include Louis–Philippe Morency, Tadas Baltrušaitis, Yao Chong Lim, Soujanya Poria, Erik Cambria, Paul Pu Liang, Devamanyu Hazarika, Eli Pincus, Rowan Zellers and Navonil Majumder. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Information Fusion.
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.