Omid Bavi

1.3k citations
54 papers · 960 · h-index 18

Impact in

    • Fractional Differential Equations Solutions
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology
    • Alzheimer's disease research and treatments

Papers in

Omid Bavi

49 papers receiving 955 citations

Peers

Omid Bavi
Comparison fields: 5 of 117
  • Modeling and Simulation 132
  • Physiology 256
  • Numerical Analysis 43
  • Molecular Biology 403
  • Sensory Systems 25
Replace Daphne Weihs with:
Daphne Weihs Israel
Fengrong Zhang China
Ibrahim Cheddadi France
Hongyan Liu China
Xiao Peng Zhang China
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Zhijie Wang China
Francesca Romana Bertani Italy
Chun‐Dong Xue China
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Citations per field
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Citations per year

Countries citing papers authored by Omid Bavi

Since Specialization
Citations

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

Fields of papers citing papers by Omid Bavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Omid Bavi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Omid Bavi Line = papers co-authored together Omid Bavi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019119
2 201681
3 201961
4 201456
5 201655
6 201950
7 202041
8 202035
9 202135
10 201834
11 202233
12 201625
13 202024
14 202324
15 202424
16 201723
17 201620
18 201320
19 201717
20 201416

About Omid Bavi

Omid Bavi is a scholar working on Biomedical Engineering, Molecular Biology, Physiology, Modeling and Simulation and Materials Chemistry, having authored 54 papers that have together received 960 indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (13 papers), Lipid Membrane Structure and Behavior (11 papers), Erythrocyte Function and Pathophysiology (9 papers), Ion channel regulation and function (7 papers), Force Microscopy Techniques and Applications (4 papers), Mathematical Biology Tumor Growth (4 papers), Fractional Differential Equations Solutions (4 papers) and Surface Modification and Superhydrophobicity (3 papers). The work is most often cited by research in Modeling and Simulation (132 citations), Physiology (256 citations), Numerical Analysis (43 citations), Molecular Biology (403 citations) and Sensory Systems (25 citations). Omid Bavi has collaborated with scholars based in Iran, Australia and United States. Frequent co-authors include Navid Bavi, Boris Martinac, Mohammad Heydari, Mona Khafaji, Masoud Zamani, Charles D. Cox, Mortaza Golizadeh, Yousef Jamali, R. Naghdabadi and Manouchehr Vossoughi. Their work appears in journals such as Biophysical Reviews, Engineering With Computers, International Communications in Heat and Mass Transfer, Scientific Reports and Archives of Biochemistry and Biophysics.

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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