Archana Ganapathi
About
In The Last Decade
Archana Ganapathi
24 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 1.6k
- Information Systems 1.2k
- Artificial Intelligence 420
- Hardware and Architecture 218
- Software 149
Countries citing papers authored by Archana Ganapathi
This map shows the geographic impact of Archana Ganapathi'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 Archana Ganapathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archana Ganapathi more than expected).
Fields of papers citing papers by Archana Ganapathi
This network shows the impact of papers produced by Archana Ganapathi. 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 Archana Ganapathi. The network helps show where Archana Ganapathi may publish in the future.
Co-authorship network of co-authors of Archana Ganapathi
This figure shows the co-authorship network connecting the top 25 collaborators of Archana Ganapathi. A scholar is included among the top collaborators of Archana Ganapathi 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 Archana Ganapathi. Archana Ganapathi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | Towards a Data Analysis Recommendation System | 1 |
| 4 | 205 | |
| 5 | 2 | |
| 6 | Challenges and Opportunities for Managing Data Systems Using Statistical Models. | 1 |
| 7 | The Case for Evaluating MapReduce Performance Using Workload Suites breakdown → | 313 |
| 8 | 2 | |
| 9 | 28 | |
| 10 | 170 | |
| 11 | Optimizing data analysis with a semi-structured time series database | 20 |
| 12 | Towards Understanding Cloud Performance Tradeoffs Using Statistical Workload Analysis and Replay | 27 |
| 13 | 74 | |
| 14 | Analysis and Lessons from a Publicly Available Google Cluster Trace | 87 |
| 15 | A case for machine learning to optimize multicore performance | 48 |
| 16 | 217 | |
| 17 | Predicting and optimizing system utilization and performance via statistical machine learning | 18 |
| 18 | 9 | |
| 19 | Windows XP kernel crash analysis | 86 |
| 20 | Why Do Internet Services Fail, and What Can Be Done About It? breakdown → | 427 |
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.