David Dao

532 citations
7 papers · 267 indexed · h-index 5

Impact in

Papers in

Journals
Proceedings of the VLDB Endowment (1 paper)Bioinformatics (1 paper)Repository for Publications and Research Data (ETH Zurich) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)arXiv (Cornell University) (1 paper)

In The Last Decade

David Dao

7 papers receiving 262 citations

Peers

David Dao
Comparison fields: 5 of 82
  • Biophysics 48
  • Computer Science Applications 30
  • Artificial Intelligence 128
  • Health Informatics 5
  • Information Systems 53
Replace Svetla Boytcheva with:
Svetla Boytcheva Bulgaria
Adrien Bibal Belgium
Parminder Kaur India
Olufunke Oladipupo Nigeria
Rawan Ghnemat Jordan
Honglei Guo China
Mateja Jamnik United Kingdom
Haiyang Jia China
Dilvan de Abreu Moreira Brazil
Kevin Roitero Italy
David Dao relative to Svetla Boytcheva Bulgaria Svetla Boytcheva's profile →
Citations per field
00.5×4.4×
Svetla Boytcheva · 1×
Citations per year

Countries citing papers authored by David Dao

Since Specialization
Citations

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

Fields of papers citing papers by David Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside David Dao, 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 David Dao Line = papers co-authored together David Dao links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202217
2
Ease.ML: A Lifecycle Management System for MLDev and MLOps
20213
3 20217
4 201998
5 201854
6 201687
7 20141

About David Dao

David Dao is a scholar working on Information Systems and Management, Biophysics, Hardware and Architecture, Media Technology and Information Systems, having authored 7 papers that have together received 267 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (2 papers), Scientific Computing and Data Management (2 papers), Cryptography and Data Security (1 paper), Single-cell and spatial transcriptomics (1 paper), Parallel Computing and Optimization Techniques (1 paper), Conservation, Biodiversity, and Resource Management (1 paper), Privacy-Preserving Technologies in Data (1 paper) and Game Theory and Voting Systems (1 paper). The work is most often cited by research in Biophysics (48 citations), Computer Science Applications (30 citations), Artificial Intelligence (128 citations), Health Informatics (5 citations) and Information Systems (53 citations). David Dao has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Dawn Song, Jane Hung, Vebjorn Ljosa, Adam Fraser, Shantanu Singh, Anne E. Carpenter, Raymond Cheng, Bo Li, Ce Zhang and Ruoxi Jia. Their work appears in journals such as Proceedings of the VLDB Endowment, Bioinformatics, Repository for Publications and Research Data (ETH Zurich), Zenodo (CERN European Organization for Nuclear Research) and arXiv (Cornell University).

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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