Maitreya Natu
- Computer Networks and Communications top 5%
- Information Systems top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Software top 10%
- Co-authors
- Adarshpal S. SethiVasundhara MahajanJelena MirkovićHarrick M. VinGirish Keshav PalshikarRajiv RanjanErrol L. LloydR. K. Ghosh
- Topics
- Software System Performance and Reliability (25 papers)Network Security and Intrusion Detection (16 papers)Cloud Computing and Resource Management (7 papers)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Maitreya Natu
37 papers receiving 301 citations
Peers
Comparison fields: 5 of 27
- Computer Networks and Communications 304
- Information Systems 90
- Artificial Intelligence 78
- Electrical and Electronic Engineering 66
- Software 41
Countries citing papers authored by Maitreya Natu
This map shows the geographic impact of Maitreya Natu'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 Maitreya Natu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maitreya Natu more than expected).
Fields of papers citing papers by Maitreya Natu
This network shows the impact of papers produced by Maitreya Natu. 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 Maitreya Natu. The network helps show where Maitreya Natu may publish in the future.
Co-authorship network of co-authors of Maitreya Natu
This figure shows the co-authorship network connecting the top 25 collaborators of Maitreya Natu. A scholar is included among the top collaborators of Maitreya Natu 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 Maitreya Natu. Maitreya Natu 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 | 4 | |
| 3 | 18 | |
| 4 | 5 | |
| 5 | Problem identification by mining trouble tickets | 5 |
| 6 | 12 | |
| 7 | 16 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | Discovering Interesting Subsets Using Statistical Analysis | 5 |
| 12 | 53 | |
| 13 | 9 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 16 | |
| 18 | 1 | |
| 19 | 20 | |
| 20 | 3 |
About Maitreya Natu
Maitreya Natu is a scholar working on Computer Networks and Communications, Software and Information Systems, having authored 41 papers that have together received 340 indexed citations. Recurring topics across this work include Software System Performance and Reliability (25 papers), Network Security and Intrusion Detection (16 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Computer Networks and Communications (304 citations), Software (41 citations) and Information Systems (90 citations). Maitreya Natu has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Adarshpal S. Sethi, Vasundhara Mahajan, Jelena Mirković, Harrick M. Vin, Girish Keshav Palshikar, Rajiv Ranjan, Errol L. Lloyd, R. K. Ghosh, Prashant Shenoy and Rahul Singh. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, IEEE Cloud Computing and Telecommunication 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.