Masoud Ghodrati

3.0k citations
46 papers · 2.0k indexed · 1 hit paper · h-index 20
Topics
Soil and Unsaturated Flow (17 papers)Neural dynamics and brain function (11 papers)Visual perception and processing mechanisms (9 papers)

In The Last Decade

Masoud Ghodrati

46 papers receiving 1.9k citations

Hit Papers

Deep learning in spiking neural networks20182026202020232018250500750

Peers

Masoud Ghodrati
Comparison fields: 5 of 122
  • Electrical and Electronic Engineering 662
  • Cognitive Neuroscience 653
  • Civil and Structural Engineering 464
  • Environmental Engineering 397
  • Artificial Intelligence 354
Replace Chao Ma with:
Chao Ma China
Yanxin Wang China
Thomas C. Harmon United States
Shengjie Li China
Hao Zheng China
Jintao Liu China
Hui Zhou China
Manuel Melgosa Spain
Yuzhu Guo China
Xiaohui Chen United Kingdom
Masoud Ghodrati relative to Chao Ma China Chao Ma's profile →
Citations per field
00.5×3.2×
Chao Ma · 1×
Citations per year

Countries citing papers authored by Masoud Ghodrati

Since Specialization
Citations

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

Fields of papers citing papers by Masoud Ghodrati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masoud Ghodrati

This figure shows the co-authorship network connecting the top 25 collaborators of Masoud Ghodrati. A scholar is included among the top collaborators of Masoud Ghodrati 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 Masoud Ghodrati. Masoud Ghodrati 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 31
2 8
3 13
4
Deep learning in spiking neural networksbreakdown →
814
5 18
6 20
7 5
8 42
9 5
10 25
11 19
12 15
13 30
14 6
15 3
16 5
17 5
18 12
19 17
20
Enhancing the benefits of fly ash as a soil amendment by pre-leaching
3

About Masoud Ghodrati

Masoud Ghodrati is a scholar working on Environmental Engineering, Cognitive Neuroscience and Geochemistry and Petrology, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include Soil and Unsaturated Flow (17 papers), Neural dynamics and brain function (11 papers) and Visual perception and processing mechanisms (9 papers). The work is most often cited by research in Cognitive Neuroscience (653 citations), Geochemistry and Petrology (185 citations) and Environmental Engineering (397 citations). Masoud Ghodrati has collaborated with scholars based in United States, Australia and Iran. Frequent co-authors include Saeed Reza Kheradpisheh, Timothée Masquelier, Amirhossein Tavanaei, Anthony S. Maida, William A. Jury, Yimin Li, J. T. Sims, B. L. Vasilas, Seyed‐Mahdi Khaligh‐Razavi and Michael Chendorain. Their work appears in journals such as Nature Communications, PLoS ONE and NeuroImage.

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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