Mohammad Daneshzand

65 total papers · 481 total citations
28 papers, 272 citations indexed

About

Mohammad Daneshzand is a scholar working on Neurology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Mohammad Daneshzand has authored 28 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 11 papers in Cognitive Neuroscience and 11 papers in Neurology. Recurrent topics in Mohammad Daneshzand's work include Transcranial Magnetic Stimulation Studies (11 papers), Neurological disorders and treatments (10 papers) and Advanced MRI Techniques and Applications (9 papers). Mohammad Daneshzand is often cited by papers focused on Transcranial Magnetic Stimulation Studies (11 papers), Neurological disorders and treatments (10 papers) and Advanced MRI Techniques and Applications (9 papers). Mohammad Daneshzand collaborates with scholars based in United States, Germany and Iran. Mohammad Daneshzand's co-authors include Miad Faezipour, Buket D. Barkana, Aapo Nummenmaa, Sergey N. Makarov, Tommi Raij, Lucia Navarro de Lara, Kyoko Fujimoto, Bastien Guérin, Khald A. I. Aboalayon and Kevin Pratt and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Mohammad Daneshzand

25 papers receiving 264 citations

Author Peers

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

Author Last Decade Papers Cites
Mohammad Daneshzand 114 103 72 64 64 28 272
Aleksandar Miladinović 37 0.3× 154 1.5× 35 0.5× 54 0.8× 72 1.1× 41 321
Hamidreza Ramezanpour 58 0.5× 110 1.1× 110 1.5× 54 0.8× 39 0.6× 19 296
Syed Salman Shahid 128 1.1× 87 0.8× 62 0.9× 48 0.8× 33 0.5× 28 304
Stefan Kampusch 163 1.4× 131 1.3× 32 0.4× 49 0.8× 35 0.5× 31 298
Katsuro Shindo 35 0.3× 165 1.6× 72 1.0× 95 1.5× 23 0.4× 19 294
Chunfang Wang 106 0.9× 146 1.4× 41 0.6× 41 0.6× 17 0.3× 36 324
Gabriel Mouchawar 64 0.6× 35 0.3× 86 1.2× 61 1.0× 22 0.3× 24 273
Maria Carla Piastra 43 0.4× 221 2.1× 45 0.6× 66 1.0× 41 0.6× 18 328
Hyeon Seo 139 1.2× 102 1.0× 85 1.2× 92 1.4× 68 1.1× 32 253
Ali Yousefi 38 0.3× 177 1.7× 24 0.3× 94 1.5× 87 1.4× 27 314

Countries citing papers authored by Mohammad Daneshzand

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Daneshzand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Daneshzand

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