Mahya Beheshti

11.2k citations
24 papers · 172 indexed · h-index 9
Topics
Tactile and Sensory Interactions (10 papers)Ophthalmology and Visual Impairment Studies (7 papers)Stroke Rehabilitation and Recovery (4 papers)
Journals
SHILAP Revista de lepidopterologíaNeurologyIEEE Access

In The Last Decade

Mahya Beheshti

19 papers receiving 167 citations

Peers

Mahya Beheshti
Comparison fields: 5 of 69
  • Cognitive Neuroscience 80
  • Human-Computer Interaction 46
  • Computer Vision and Pattern Recognition 20
  • Neurology 18
  • Epidemiology 17
Replace Dae Shik Kim with:
Dae Shik Kim United States
Michiel H.G. Claessen Netherlands
Manuel Merino-Monge Spain
Julia M. Juliano United States
Ivan Malagoli Lanzoni Italy
Suzanne A. E. Nooij Germany
Grzegorz Zwoliński Poland
Sabrina Hoppe Germany
Mounia Ziat United States
Emanuela Molinari United Kingdom
Mahya Beheshti relative to Dae Shik Kim United States Dae Shik Kim's profile →
Citations per field
00.5×5.3×
Dae Shik Kim · 1×
Citations per year

Countries citing papers authored by Mahya Beheshti

Since Specialization
Citations

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

Fields of papers citing papers by Mahya Beheshti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahya Beheshti

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 0
6 1
7 0
8 7
9 3
10 10
11 8
12 13
13 16
14 37
15 14
16 1
17 2
18 14
19 8
20 10

About Mahya Beheshti

Mahya Beheshti is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Rehabilitation, having authored 24 papers that have together received 172 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (10 papers), Ophthalmology and Visual Impairment Studies (7 papers) and Stroke Rehabilitation and Recovery (4 papers). The work is most often cited by research in Human-Computer Interaction (46 citations), Cognitive Neuroscience (80 citations) and Conservation (13 citations). Mahya Beheshti has collaborated with scholars based in United States, Canada and Thailand. Frequent co-authors include John‐Ross Rizzo, Todd E. Hudson, Maurizio Porfiri, Yi Fang, William Seiple, Janet C. Rucker, Steven R. Flanagan, Nicholas A. Giudice, Alberto Cucca and Rajesh Vedanthan. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and IEEE Access.

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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