M. Muralikrishna
About
In The Last Decade
M. Muralikrishna
12 papers receiving 474 citations
Peers
Comparison fields: 5 of 35
- Computer Networks and Communications 491
- Signal Processing 314
- Artificial Intelligence 192
- Information Systems 114
- Computer Vision and Pattern Recognition 59
Countries citing papers authored by M. Muralikrishna
This map shows the geographic impact of M. Muralikrishna'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 M. Muralikrishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Muralikrishna more than expected).
Fields of papers citing papers by M. Muralikrishna
This network shows the impact of papers produced by M. Muralikrishna. 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 M. Muralikrishna. The network helps show where M. Muralikrishna may publish in the future.
Co-authorship network of co-authors of M. Muralikrishna
This figure shows the co-authorship network connecting the top 25 collaborators of M. Muralikrishna. A scholar is included among the top collaborators of M. Muralikrishna 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 M. Muralikrishna. M. Muralikrishna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | Improved Unnesting Algorithms for Join Aggregate SQL Queries | 59 |
| 5 | The Architecture of the EXODUS Extensible DBMS. | 18 |
| 6 | Optimization and dataflow algorithms for nested tree queries | 26 |
| 7 | 10 | |
| 8 | Optimization of multiple-disjunct queries in a relational database system | 6 |
| 9 | 158 | |
| 10 | 8 | |
| 11 | GAMMA—a high performance dataflow database machine | 260 |
| 12 | Architecture of the EXODUS extensible DBMS: a preliminary report | 5 |
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.