Davud Asemani

970 total citations
41 papers, 633 citations indexed

About

Davud Asemani is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Davud Asemani has authored 41 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Electrical and Electronic Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Davud Asemani's work include Analog and Mixed-Signal Circuit Design (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Functional Brain Connectivity Studies (5 papers). Davud Asemani is often cited by papers focused on Analog and Mixed-Signal Circuit Design (7 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Functional Brain Connectivity Studies (5 papers). Davud Asemani collaborates with scholars based in Iran, United States and France. Davud Asemani's co-authors include Mohammad Karimi, Donna R. Roberts, Michael U. Antonucci, Marc I. Chimowitz, Moritz H. Albrecht, Arindam Chatterjee, Xun Zhu, Heather Collins, Maria Vittoria Spampinato and J. Oksman and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Journal of Theoretical Biology.

In The Last Decade

Davud Asemani

39 papers receiving 615 citations

Peers

Davud Asemani
Comparison fields: 5 of 96
  • Physiology 289
  • Genetics 103
  • Industrial and Manufacturing Engineering 77
  • Computer Vision and Pattern Recognition 75
  • Electrical and Electronic Engineering 72
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Citations per field, relative to Davud Asemani
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Citations per year, relative to Davud Asemani
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Countries citing papers authored by Davud Asemani

Since Specialization
Citations

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

Fields of papers citing papers by Davud Asemani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davud Asemani

This figure shows the co-authorship network connecting the top 25 collaborators of Davud Asemani. A scholar is included among the top collaborators of Davud Asemani 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 Davud Asemani. Davud Asemani 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
# Work Indexed citations
1 17
2 13
3 4
4 61
5 17
6 2
7 6
8 198
9 0
10 0
11 2
12 18
13
Evaluation of Hemodynamic Response Function in Vision and Motor Brain Regions for the Young and Elderly Adults.
6
14 82
15 21
16 1
17 8
18 4
19 12
20 36

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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