Manoj Syamala
About
In The Last Decade
Manoj Syamala
23 papers receiving 370 citations
Peers
Comparison fields: 5 of 32
- Computer Networks and Communications 331
- Information Systems 265
- Artificial Intelligence 71
- Signal Processing 68
- Hardware and Architecture 37
Countries citing papers authored by Manoj Syamala
This map shows the geographic impact of Manoj Syamala'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 Manoj Syamala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manoj Syamala more than expected).
Fields of papers citing papers by Manoj Syamala
This network shows the impact of papers produced by Manoj Syamala. 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 Manoj Syamala. The network helps show where Manoj Syamala may publish in the future.
Co-authorship network of co-authors of Manoj Syamala
This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Syamala. A scholar is included among the top collaborators of Manoj Syamala 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 Manoj Syamala. Manoj Syamala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | Functional characterization of various plant growth promoting activity of Pseudomonas fluorescens and Bacillus subtilis from Aloe vera rhizosphere | 8 |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 53 | |
| 8 | 24 | |
| 9 | Database Application Developer Tools Using Static Analysis and Dynamic Profiling. | 1 |
| 10 | SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service. | 38 |
| 11 | 32 | |
| 12 | 26 | |
| 13 | 1 | |
| 14 | AutoAdmin Project at Microsoft Research: Lessons Learned. | 13 |
| 15 | 16 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | Bridging the application and DBMS profiling divide for database application developers | 12 |
| 20 | 66 |
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.