Palden Lama
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Artificial Intelligence top 10%
- Hardware and Architecture top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Xiaobo ZhouChangjun JiangDazhao ChengYanfei GuoRajendra V. BoppanaJun WuRohit MehraJia Rao
- Topics
- Cloud Computing and Resource Management (31 papers)IoT and Edge/Fog Computing (17 papers)Caching and Content Delivery (12 papers)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Palden Lama
38 papers receiving 682 citations
Peers
Comparison fields: 5 of 50
- Computer Networks and Communications 613
- Information Systems 586
- Artificial Intelligence 101
- Hardware and Architecture 56
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by Palden Lama
This map shows the geographic impact of Palden Lama'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 Palden Lama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Palden Lama more than expected).
Fields of papers citing papers by Palden Lama
This network shows the impact of papers produced by Palden Lama. 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 Palden Lama. The network helps show where Palden Lama may publish in the future.
Co-authorship network of co-authors of Palden Lama
This figure shows the co-authorship network connecting the top 25 collaborators of Palden Lama. A scholar is included among the top collaborators of Palden Lama 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 Palden Lama. Palden Lama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 17 | |
| 11 | 2 | |
| 12 | 27 | |
| 13 | 19 | |
| 14 | User-Centric Heterogeneity-Aware MapReduce Job Provisioning in the Public Cloud. | 7 |
| 15 | 13 | |
| 16 | 21 | |
| 17 | 12 | |
| 18 | 24 | |
| 19 | Speech Recognition with Dynamic Time Warping using MATLAB | 6 |
| 20 | 23 |
About Palden Lama
Palden Lama is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 41 papers that have together received 701 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (31 papers), IoT and Edge/Fog Computing (17 papers) and Caching and Content Delivery (12 papers). The work is most often cited by research in Computer Networks and Communications (613 citations), Information Systems (586 citations) and Hardware and Architecture (56 citations). Palden Lama has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Xiaobo Zhou, Changjun Jiang, Dazhao Cheng, Yanfei Guo, Rajendra V. Boppana, Xiaobo Zhou, Jun Wu, Rohit Mehra, Jia Rao and Mo Jamshidi. Their work appears in journals such as IEEE Access, IEEE Transactions on Computers and Automation in Construction.
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.