Amir H. Assadi
- Developmental Neuroscience top 5%
- Mathematical Physics top 10%
- Homotopy and Cohomology in Algebraic Topology 9
- Mathematical Dynamics and Fractals 4
- Geometry and Topology top 10%
- Geometric and Algebraic Topology 10
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- Color perception and design 6
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- Topological and Geometric Data Analysis 5
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- Neural Networks and Applications 5
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- Blind Source Separation Techniques 4
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- Neural dynamics and brain function 4
- Co-authors
- Hamid R. EghbalniaJohn L. MarkleyArash BahramiLiya WangGary ClarkAnthony Wynshaw‐BorisEdgar P. SpaldingGuangcheng Zhang
- Journals
- Neurocomputing (5 papers)Journal of Pure and Applied Algebra (4 papers)Journal of Biomolecular NMR (2 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Amir H. Assadi
47 papers receiving 903 citations
Peers
Comparison fields: 5 of 124
- Developmental Neuroscience 125
- Molecular Biology 517
- Cellular and Molecular Neuroscience 136
- Mathematical Physics 53
- Geometry and Topology 51
Countries citing papers authored by Amir H. Assadi
This map shows the geographic impact of Amir H. Assadi'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 Amir H. Assadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir H. Assadi more than expected).
Fields of papers citing papers by Amir H. Assadi
This network shows the impact of papers produced by Amir H. Assadi. 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 Amir H. Assadi. The network helps show where Amir H. Assadi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amir H. Assadi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 3 | |
| 2 | 2022 | 0 | |
| 3 | Efficient Curvature Estimation for Oriented Point Clouds. | 2019 | 2 |
| 4 | 2009 | 16 | |
| 5 | 2009 | 159 | |
| 6 | 2009 | 70 | |
| 7 | Tracing Branched Curvilinear Structures with a Novel Adaptive Local PCA Algorithm. | 2008 | 7 |
| 8 | 2008 | 16 | |
| 9 | 2006 | 31 | |
| 10 | 2004 | 9 | |
| 11 | 2003 | 171 | |
| 12 | 1990 | 2 | |
| 13 | 1989 | 2 | |
| 14 | 1989 | 3 | |
| 15 | 1988 | 3 | |
| 16 | 1987 | 7 | |
| 17 | 1985 | 5 | |
| 18 | 1985 | 1 | |
| 19 | 1983 | 0 | |
| 20 | 1983 | 0 |
About Amir H. Assadi
Amir H. Assadi is a scholar working on Geometry and Topology, Mathematical Physics, Developmental Neuroscience, Cognitive Neuroscience and Signal Processing, having authored 53 papers that have together received 930 indexed citations. Recurring topics across this work include Geometric and Algebraic Topology (10 papers), Homotopy and Cohomology in Algebraic Topology (9 papers), Color perception and design (6 papers), Topological and Geometric Data Analysis (5 papers), Neural Networks and Applications (5 papers), Blind Source Separation Techniques (4 papers), Neural dynamics and brain function (4 papers) and Mathematical Dynamics and Fractals (4 papers). The work is most often cited by research in Developmental Neuroscience (125 citations), Molecular Biology (517 citations), Cellular and Molecular Neuroscience (136 citations), Mathematical Physics (53 citations) and Geometry and Topology (51 citations). Amir H. Assadi has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Hamid R. Eghbalnia, John L. Markley, Arash Bahrami, Liya Wang, Gary Clark, Anthony Wynshaw‐Boris, Edgar P. Spalding, Guangcheng Zhang, Gabriella D’Arcangelo and Robert S. McNeil. Their work appears in journals such as Neurocomputing, Journal of Pure and Applied Algebra, Journal of Biomolecular NMR, Transactions of the American Mathematical Society and Bulletin of the American Mathematical Society.
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.