Sujata Garera
About
In The Last Decade
Sujata Garera
6 papers receiving 329 citations
Hit Papers
Peers
Comparison fields: 5 of 23
- Information Systems 337
- Signal Processing 256
- Artificial Intelligence 167
- Computer Networks and Communications 153
- Sociology and Political Science 63
Countries citing papers authored by Sujata Garera
This map shows the geographic impact of Sujata Garera'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 Sujata Garera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujata Garera more than expected).
Fields of papers citing papers by Sujata Garera
This network shows the impact of papers produced by Sujata Garera. 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 Sujata Garera. The network helps show where Sujata Garera may publish in the future.
Co-authorship network of co-authors of Sujata Garera
This figure shows the co-authorship network connecting the top 25 collaborators of Sujata Garera. A scholar is included among the top collaborators of Sujata Garera 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 Sujata Garera. Sujata Garera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | On the difficulty of validating voting machine software with software | 17 |
| 5 | 11 | |
| 6 | A framework for detection and measurement of phishing attacks breakdown → | 322 |
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.