Daniel Takabi

46 total papers · 815 total citations
23 papers, 512 citations indexed

About

Daniel Takabi is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Takabi has authored 23 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Signal Processing and 5 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Takabi's work include Cryptography and Data Security (9 papers), Privacy-Preserving Technologies in Data (7 papers) and Complexity and Algorithms in Graphs (5 papers). Daniel Takabi is often cited by papers focused on Cryptography and Data Security (9 papers), Privacy-Preserving Technologies in Data (7 papers) and Complexity and Algorithms in Graphs (5 papers). Daniel Takabi collaborates with scholars based in United States, Saudi Arabia and Ghana. Daniel Takabi's co-authors include Mohammad Hossein Rafiei, Lynne V. Gauthier, Hojjat Adeli, Zhipeng Cai, Wei Li, Zuobin Xiong, Peizhao Hu, Honghui Xu, Eduardo Blanco and Vince D. Calhoun and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Daniel Takabi

20 papers receiving 505 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Self-Supervised Learning for Electroencephalography

2022 208 citations Mohammad Hossein Rafiei, Lynne V. Gauthier et al. IEEE Transactions on Neural Networks and Learning Systems profile →
Self-Supervised Learning for Near-Wild Cognitive Workload Estimation

2024 36 citations Mohammad Hossein Rafiei, Lynne V. Gauthier et al. Journal of Medical Systems profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniel Takabi	263	90	77	61	40	23	512
Gonzalo Safont	225 0.9×	40 0.4×	93 1.2×	86 1.4×	26 0.7×	42	543
Aaqib Saeed	212 0.8×	42 0.5×	223 2.9×	40 0.7×	20 0.5×	29	591
Ali Hashemi	214 0.8×	21 0.2×	88 1.1×	54 0.9×	35 0.9×	31	498
Jin Gou	251 1.0×	68 0.8×	84 1.1×	12 0.2×	58 1.4×	58	591
Silas Franco dos Reis Alves	123 0.5×	29 0.3×	55 0.7×	35 0.6×	13 0.3×	19	511
Yun Su	107 0.4×	56 0.6×	75 1.0×	153 2.5×	22 0.6×	42	500
Sourav Mishra	149 0.6×	21 0.2×	128 1.7×	23 0.4×	37 0.9×	21	529
Kang Li	134 0.5×	28 0.3×	78 1.0×	56 0.9×	27 0.7×	41	558
Ling He	146 0.6×	79 0.9×	75 1.0×	31 0.5×	11 0.3×	25	505
Vibhav Prakash Singh	197 0.7×	40 0.4×	204 2.6×	24 0.4×	43 1.1×	55	499

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).

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.

Co-authorship network of co-authors of Daniel Takabi

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

All Works

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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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