Davud Asemani

62 total papers · 965 total citations
41 papers, 625 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 625 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), Functional Brain Connectivity Studies (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Davud Asemani is often cited by papers focused on Analog and Mixed-Signal Circuit Design (7 papers), Functional Brain Connectivity Studies (5 papers) and Cancer Immunotherapy and Biomarkers (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, Xun Zhu, Heather Collins, Marc I. Chimowitz, Arindam Chatterjee, Maria Vittoria Spampinato, Moritz H. Albrecht and J. Oksman and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Human Brain Mapping.

In The Last Decade

Davud Asemani

39 papers receiving 608 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Davud Asemani	282	102	77	75	72	41	625
Hak‐Jin Kim	63 0.2×	52 0.5×	51 0.7×	6 0.1×	45 0.6×	78	743
Nasif Zaman	261 0.9×	89 0.9×	3 0.0×	50 0.7×	11 0.2×	77	685
Madhur Srivastava	66 0.2×	12 0.1×	9 0.1×	121 1.6×	45 0.6×	29	556
Guihu Zhao	40 0.1×	79 0.8×	5 0.1×	124 1.7×	41 0.6×	46	708
Shusheng Yang	117 0.4×	20 0.2×	17 0.2×	139 1.9×	21 0.3×	32	645
Ron Bates	90 0.3×	8 0.1×	56 0.7×	9 0.1×	28 0.4×	38	615
Meihong Wu	63 0.2×	8 0.1×	10 0.1×	47 0.6×	56 0.8×	43	784
Masato Okada	24 0.1×	56 0.5×	36 0.5×	36 0.5×	151 2.1×	94	785
Yamashita	93 0.3×	17 0.2×	9 0.1×	28 0.4×	76 1.1×	53	725
Guangda Liu	41 0.1×	68 0.7×	4 0.1×	43 0.6×	45 0.6×	56	766

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.

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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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