Nhat Ho

1.1k citations
42 papers · 315 · h-index 9

Impact in

Papers in

Nhat Ho

37 papers receiving 303 citations

Peers

Nhat Ho
Comparison fields: 5 of 61
  • Statistics and Probability 66
  • Control and Systems Engineering 117
  • Computational Mathematics 2
  • Artificial Intelligence 100
  • Computer Vision and Pattern Recognition 39
Replace Vojislav Filipović with:
Vojislav Filipović Serbia
Mohamed Selmi Tunisia
Ke Sun China
Liang Xue China
Nguyễn Văn Hùng Vietnam
Fir Dunkin China
Xiaozhou Wang China
Xianlei Shan China
Nhat Ho relative to Vojislav Filipović Serbia Vojislav Filipović's profile →
Citations per field
00.5×2.9×
Vojislav Filipović · 1×
Citations per year

Countries citing papers authored by Nhat Ho

Since Specialization
Citations

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

Fields of papers citing papers by Nhat Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202133
2 201730
3 201929
4 201827
5 201824
6 201623
7 201621
8 202019
9 20219
10
Multilevel Clustering via Wasserstein Means
20178
11
LAMDA: Label Matching Deep Domain Adaptation
20217
12 20237
13 20197
14
On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms
20196
15 20246
16 20246
17 20226
18 20176
19 20214
20 20254

About Nhat Ho

Nhat Ho is a scholar working on Artificial Intelligence, Control and Systems Engineering, Statistics and Probability, Computer Vision and Pattern Recognition and Civil and Structural Engineering, having authored 42 papers that have together received 315 indexed citations. Recurring topics across this work include Piezoelectric Actuators and Control (9 papers), Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Inference (5 papers), Topology Optimization in Engineering (5 papers), Statistical Methods and Bayesian Inference (5 papers), Markov Chains and Monte Carlo Methods (4 papers), Robotic Mechanisms and Dynamics (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Statistics and Probability (66 citations), Control and Systems Engineering (117 citations), Computational Mathematics (2 citations), Artificial Intelligence (100 citations) and Computer Vision and Pattern Recognition (39 citations). Nhat Ho has collaborated with scholars based in United States, Vietnam and Australia. Frequent co-authors include Thanh-Phong Dao, XuanLong Nguyen, Ngoc Le Chau, Shyh‐Chour Huang, Michael I. Jordan, Binh‐Son Hua, Quang-Hieu Pham, Tam Le, Martin J. Wainwright and Dinh Phung. Their work appears in journals such as Microsystem Technologies, The Annals of Statistics, Robotics and Autonomous Systems, Robotics and Computer-Integrated Manufacturing and Electronic Journal of Statistics.

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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