Milad Lankarany

91 total papers · 601 total citations
43 papers, 301 citations indexed

About

Milad Lankarany is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Milad Lankarany has authored 43 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 17 papers in Cellular and Molecular Neuroscience and 13 papers in Artificial Intelligence. Recurrent topics in Milad Lankarany's work include Neural dynamics and brain function (20 papers), Neuroscience and Neural Engineering (13 papers) and EEG and Brain-Computer Interfaces (8 papers). Milad Lankarany is often cited by papers focused on Neural dynamics and brain function (20 papers), Neuroscience and Neural Engineering (13 papers) and EEG and Brain-Computer Interfaces (8 papers). Milad Lankarany collaborates with scholars based in Canada, Iran and United States. Milad Lankarany's co-authors include Steven A. Prescott, Stéphanie Ratté, M.N.S. Swamy, Wei‐Ping Zhu, Miloš R. Popović, Young-Ah Rho, Taro Toyoizumi, Andrés M. Lozano, Suneil K. Kalia and Luka Milosevic and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Milad Lankarany

33 papers receiving 296 citations

Author Peers

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

Author						Papers	Cites
Milad Lankarany	169	142	61	51	44	43	301
Shreya Saxena	255 1.5×	113 0.8×	35 0.6×	28 0.5×	28 0.6×	25	357
Dae C. Shin	157 0.9×	110 0.8×	43 0.7×	30 0.6×	71 1.6×	34	357
David C. Tam	195 1.2×	89 0.6×	37 0.6×	36 0.7×	10 0.2×	50	358
Adam S. Dickey	231 1.4×	190 1.3×	40 0.7×	38 0.7×	42 1.0×	19	363
Spiros H. Courellis	223 1.3×	197 1.4×	74 1.2×	24 0.5×	10 0.2×	23	285
Guillaume Lajoie	234 1.4×	74 0.5×	89 1.5×	17 0.3×	16 0.4×	28	348
Ali Yousefi	177 1.0×	94 0.7×	30 0.5×	24 0.5×	87 2.0×	27	314
Noëlle Lewis	91 0.5×	110 0.8×	86 1.4×	77 1.5×	31 0.7×	32	232
Mikio Aoi	162 1.0×	64 0.5×	15 0.2×	12 0.2×	33 0.8×	17	267
Benjamin D. Haeffele	147 0.9×	104 0.7×	20 0.3×	29 0.6×	8 0.2×	21	323

Countries citing papers authored by Milad Lankarany

Since Specialization

Citations

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

Fields of papers citing papers by Milad Lankarany

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milad Lankarany

This figure shows the co-authorship network connecting the top 25 collaborators of Milad Lankarany. A scholar is included among the top collaborators of Milad Lankarany 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 Milad Lankarany. Milad Lankarany 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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