Reza Lashgari

1.6k citations
44 papers · 1.1k indexed · h-index 21
Topics
Neural dynamics and brain function (14 papers)Visual perception and processing mechanisms (12 papers)Neuroscience and Neuropharmacology Research (11 papers)

In The Last Decade

Reza Lashgari

44 papers receiving 1.1k citations

Peers

Reza Lashgari
Comparison fields: 5 of 112
  • Cognitive Neuroscience 551
  • Cellular and Molecular Neuroscience 397
  • Molecular Biology 172
  • Radiology, Nuclear Medicine and Imaging 136
  • Artificial Intelligence 105
Replace KongFatt Wong‐Lin with:
KongFatt Wong‐Lin United Kingdom
Jessica Schrouff Belgium
Václav Křemen United States
Kamen A. Tsvetanov United Kingdom
Paroma Varma United States
Ling‐Li Zeng China
Jin‐Hun Sohn South Korea
Amin Zandvakili United States
Yingying Yue China
Spiros Konitsiotis Greece
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Citations per field
00.5×1.5×
KongFatt Wong‐Lin · 1×
Citations per year

Countries citing papers authored by Reza Lashgari

Since Specialization
Citations

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

Fields of papers citing papers by Reza Lashgari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Lashgari

This figure shows the co-authorship network connecting the top 25 collaborators of Reza Lashgari. A scholar is included among the top collaborators of Reza Lashgari 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 Reza Lashgari. Reza Lashgari 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 17
2 2
3 55
4 15
5 8
6 20
7 6
8 108
9 13
10 23
11 72
12 18
13 9
14 25
15 51
16 16
17 16
18 32
19 26
20 69

About Reza Lashgari

Reza Lashgari is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Visual perception and processing mechanisms (12 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Cognitive Neuroscience (551 citations), Cellular and Molecular Neuroscience (397 citations) and Health Informatics (23 citations). Reza Lashgari has collaborated with scholars based in Iran, United States and United Kingdom. Frequent co-authors include José‐Manuel Alonso, Fereshteh Motamedi, Jianzhong Jin, Yushi Wang, Jens Kremkow, ‬Siamak Shahidi, Xiaobing Li, Alireza Komaki‬, Harvey A. Swadlow and Qasim Zaidi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

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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