Omid Bavi

1.3k citations
57 papers · 1.0k · h-index 19

Impact in

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

Papers in

Omid Bavi

52 papers receiving 1.0k citations

Peers

Omid Bavi
Comparison fields: 5 of 117
  • Modeling and Simulation 132
  • Physiology 288
  • Numerical Analysis 43
  • Sensory Systems 31
  • Molecular Biology 437
Replace Yousef Jamali with:
Yousef Jamali Iran
Daphne Weihs Israel
Yinon Shafrir United States
Adele De Ninno Italy
Fengrong Zhang China
Xiaoxi Wei China
Hongyan Liu China
Martina Maritan Italy
Dmitry A. Markov United States
Zhijie Wang China
Omid Bavi relative to Yousef Jamali Iran Yousef Jamali's profile →
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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019127
2 201685
3 201962
4 201458
5 201658
6 201950
7 202041
8 202036
9 201835
10 202135
11 202233
12 201627
13 202025
14 201725
15 202324
16 202424
17 201621
18 201320
19 201718
20 201718

About Omid Bavi

Omid Bavi is a scholar working on Biomedical Engineering, Molecular Biology, Physiology, Modeling and Simulation and Materials Chemistry, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (13 papers), Lipid Membrane Structure and Behavior (12 papers), Erythrocyte Function and Pathophysiology (11 papers), Ion channel regulation and function (9 papers), Force Microscopy Techniques and Applications (4 papers), Mathematical Biology Tumor Growth (4 papers), Fractional Differential Equations Solutions (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Modeling and Simulation (132 citations), Physiology (288 citations), Numerical Analysis (43 citations), Sensory Systems (31 citations) and Molecular Biology (437 citations). Omid Bavi has collaborated with scholars based in Iran, Australia and United States. Frequent co-authors include Navid Bavi, Boris Martinac, Mona Khafaji, Masoud Zamani, Mohammad Heydari, 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, Channels 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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