Munkhjargal Gochoo
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Human-Computer Interaction top 2%
- Electrical and Electronic Engineering
- Co-authors
- Fady AlnajjarKibum KimTan-Hsu TanAhmad JalalShing-Hong LiuShih-Chia HuangSumayya KhalidYazeed Yasin Ghadi
- Topics
- Context-Aware Activity Recognition Systems (21 papers)Video Surveillance and Tracking Methods (19 papers)Human Pose and Action Recognition (15 papers)
- Partner nations
- United Arab EmiratesTaiwanPakistan
In The Last Decade
Munkhjargal Gochoo
71 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 973
- Biomedical Engineering 367
- Artificial Intelligence 324
- Human-Computer Interaction 225
- Electrical and Electronic Engineering 191
Countries citing papers authored by Munkhjargal Gochoo
This map shows the geographic impact of Munkhjargal Gochoo'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 Munkhjargal Gochoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Munkhjargal Gochoo more than expected).
Fields of papers citing papers by Munkhjargal Gochoo
This network shows the impact of papers produced by Munkhjargal Gochoo. 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 Munkhjargal Gochoo. The network helps show where Munkhjargal Gochoo may publish in the future.
Co-authorship network of co-authors of Munkhjargal Gochoo
This figure shows the co-authorship network connecting the top 25 collaborators of Munkhjargal Gochoo. A scholar is included among the top collaborators of Munkhjargal Gochoo 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 Munkhjargal Gochoo. Munkhjargal Gochoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Real-Time Attention Monitoring System for Classroom: A Deep Learning Approach for Student’s Behavior Recognitionbreakdown → | 62 |
| 4 | 31 | |
| 5 | 68 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 17 | |
| 10 | 89 | |
| 11 | 23 | |
| 12 | 35 | |
| 13 | 30 | |
| 14 | 1 | |
| 15 | 54 | |
| 16 | 7 | |
| 17 | 7 | |
| 18 | 28 | |
| 19 | 49 | |
| 20 | 15 |
About Munkhjargal Gochoo
Munkhjargal Gochoo is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Health Informatics, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (21 papers), Video Surveillance and Tracking Methods (19 papers) and Human Pose and Action Recognition (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (973 citations), Human-Computer Interaction (225 citations) and Automotive Engineering (121 citations). Munkhjargal Gochoo has collaborated with scholars based in United Arab Emirates, Taiwan and Pakistan. Frequent co-authors include Fady Alnajjar, Kibum Kim, Tan-Hsu Tan, Ahmad Jalal, Shing-Hong Liu, Shih-Chia Huang, Sumayya Khalid, Ahmad Jalal, Ahmad Jalal and Yazeed Yasin Ghadi. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Intelligent Transportation Systems.
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.