Davoud Moulavi

3.5k total citations · 1 hit paper
8 papers, 716 citations indexed

About

Davoud Moulavi is a scholar working on Artificial Intelligence, Signal Processing and Molecular Biology. According to data from OpenAlex, Davoud Moulavi has authored 8 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Molecular Biology. Recurrent topics in Davoud Moulavi's work include Advanced Clustering Algorithms Research (6 papers), Data Management and Algorithms (3 papers) and Complex Network Analysis Techniques (2 papers). Davoud Moulavi is often cited by papers focused on Advanced Clustering Algorithms Research (6 papers), Data Management and Algorithms (3 papers) and Complex Network Analysis Techniques (2 papers). Davoud Moulavi collaborates with scholars based in Canada, Brazil and Germany. Davoud Moulavi's co-authors include Jörg Sander, Arthur Zimek, Ricardo J. G. B. Campello, Pablo Andretta Jaskowiak, Ricardo J. G. B. Campello, Randy Goebel, Philip F. Halloran and Russell Greiner and has published in prestigious journals such as Data Mining and Knowledge Discovery, Knowledge and Information Systems and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

In The Last Decade

Davoud Moulavi

8 papers receiving 683 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection

2015 477 citations Ricardo J. G. B. Campello, Davoud Moulavi et al. ACM Transactions on Knowledge Discovery from Data profile →

Peers

Countries citing papers authored by Davoud Moulavi

Since Specialization

Citations

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

Fields of papers citing papers by Davoud Moulavi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davoud Moulavi

This figure shows the co-authorship network connecting the top 25 collaborators of Davoud Moulavi. A scholar is included among the top collaborators of Davoud Moulavi 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 Davoud Moulavi. Davoud Moulavi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection breakdown → 2015 ·ACM Transactions on Knowledge Discovery from Data ·Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander	477
2	On strategies for building effective ensembles of relative clustering validity criteria 2015 ·Knowledge and Information Systems ·Pablo Andretta Jaskowiak, Davoud Moulavi, (unknown), Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander	21
3	Density-Based Clustering Validation 2014 ·Davoud Moulavi, Pablo Andretta Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander	152
4	Model Selection for Semi-Supervised Clustering 2014 ·Scientific Electronic Library Online (São Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Científico e Tecnológico) ·(unknown), Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander, Randy Goebel	9
5	Finding, Evaluating and Exploring Clustering Alternatives Unsupervised and Semi-supervised 2014 ·University of Alberta Library ·Davoud Moulavi	3
6	A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies 2013 ·Data Mining and Knowledge Discovery ·Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, Jörg Sander	45
7	A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data 2012 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Ricardo J. G. B. Campello, Davoud Moulavi, Jörg Sander	4
8	Combining gene expression and interaction network data to improve kidney lesion score prediction 2012 ·International Journal of Bioinformatics Research and Applications ·Davoud Moulavi, (unknown), Jörg Sander, Philip F. Halloran, Russell Greiner	5

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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