Palma London
- Molecular Biology
- Artificial Intelligence
- Statistics and Probability top 10%
- Computer Networks and Communications
- Information Systems
- Co-authors
- Su‐In LeeDaniela WittenMaryam FazelAdam WiermanXiaoqi RenMaryam T. FazelKuang‐Hsiung TanNiangjun Chen
- Topics
- Cryptography and Data Security (3 papers)Distributed systems and fault tolerance (3 papers)Optimization and Search Problems (3 papers)
- Journals
- IEEE/ACM Transactions on NetworkingACM SIGMETRICS Performance Evaluation ReviewProceedings of the ACM on Measurement and Analysis of Computing Systems
- Partner nations
- United States
In The Last Decade
Palma London
9 papers receiving 155 citations
Peers
Comparison fields: 5 of 37
- Molecular Biology 65
- Artificial Intelligence 57
- Statistics and Probability 37
- Computer Networks and Communications 34
- Information Systems 22
Countries citing papers authored by Palma London
This map shows the geographic impact of Palma London'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 Palma London with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Palma London more than expected).
Fields of papers citing papers by Palma London
This network shows the impact of papers produced by Palma London. 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 Palma London. The network helps show where Palma London may publish in the future.
Co-authorship network of co-authors of Palma London
This figure shows the co-authorship network connecting the top 25 collaborators of Palma London. A scholar is included among the top collaborators of Palma London 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 Palma London. Palma London 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 | 4 | |
| 3 | 4 | |
| 4 | 28 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | Node-Based Learning of Multiple Gaussian Graphical Models. | 93 |
| 9 | Learning Graphical Models With Hubs. | 17 |
About Palma London
Palma London is a scholar working on Computer Networks and Communications, Statistics and Probability and Artificial Intelligence, having authored 9 papers that have together received 157 indexed citations. Recurring topics across this work include Cryptography and Data Security (3 papers), Distributed systems and fault tolerance (3 papers) and Optimization and Search Problems (3 papers). The work is most often cited by research in Statistics and Probability (37 citations), Artificial Intelligence (57 citations) and Computational Mathematics (1 citation). Palma London has collaborated with scholars based in United States. Frequent co-authors include Su‐In Lee, Daniela Witten, Maryam Fazel, Adam Wierman, Xiaoqi Ren, Maryam T. Fazel, Kuang‐Hsiung Tan and Niangjun Chen. Their work appears in journals such as IEEE/ACM Transactions on Networking, ACM SIGMETRICS Performance Evaluation Review and Proceedings of the ACM on Measurement and Analysis of Computing 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.