Daniel Takabi

12 papers and 317 indexed citations i.

About

Daniel Takabi is a scholar working on Artificial Intelligence, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Daniel Takabi has authored 12 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Cognitive Neuroscience. Recurrent topics in Daniel Takabi’s work include Cryptography and Data Security (5 papers), Privacy-Preserving Technologies in Data (4 papers) and Combinatorial Optimization and Complexity Theory (3 papers). Daniel Takabi is often cited by papers focused on Cryptography and Data Security (5 papers), Privacy-Preserving Technologies in Data (4 papers) and Combinatorial Optimization and Complexity Theory (3 papers). Daniel Takabi collaborates with scholars based in United States, Saudi Arabia and Iran. Daniel Takabi's co-authors include Mohammad Hossein Rafiei, Hojjat Adeli, Lynne V. Gauthier, Zhipeng Cai, Wei Li, Zuobin Xiong, Peizhao Hu, Honghui Xu, Sergey M. Plis and Chunqiang Hu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Industrial Informatics.

In The Last Decade

Co-authorship network of co-authors of Daniel Takabi i

Fields of papers citing papers by Daniel Takabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Takabi

Since Specialization
Citations

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

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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