Ramana Rao
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Information Systems top 1%
- Human-Computer Interaction top 0.5%
- Signal Processing top 2%
- Co-authors
- Stuart K. CardPeter PirolliJohn LampingJames E. PitkowDavid RosenblittThomas W. MaloneKum‐Yew LaiKenneth R. Grant
- Topics
- Data Visualization and Analytics (14 papers)Video Analysis and Summarization (8 papers)Personal Information Management and User Behavior (6 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionInformation Systems and Management
- Journals
- Communications of the ACMMetallurgical and Materials Transactions AJournal of Knowledge Management
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Ramana Rao
32 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 799
- Information Systems 751
- Human-Computer Interaction 445
- Signal Processing 432
Countries citing papers authored by Ramana Rao
This map shows the geographic impact of Ramana Rao'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 Ramana Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramana Rao more than expected).
Fields of papers citing papers by Ramana Rao
This network shows the impact of papers produced by Ramana Rao. 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 Ramana Rao. The network helps show where Ramana Rao may publish in the future.
Co-authorship network of co-authors of Ramana Rao
This figure shows the co-authorship network connecting the top 25 collaborators of Ramana Rao. A scholar is included among the top collaborators of Ramana Rao 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 Ramana Rao. Ramana Rao 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 | 11 | |
| 3 | 7 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 258 | |
| 9 | 4 | |
| 10 | A focus+context technique based on hyperbolic geometry for visualizing large hierarchiesbreakdown → | 533 |
| 11 | 92 | |
| 12 | 128 | |
| 13 | 130 | |
| 14 | 4 | |
| 15 | 100 | |
| 16 | 10 | |
| 17 | 114 | |
| 18 | 26 | |
| 19 | 41 | |
| 20 | 227 |
About Ramana Rao
Ramana Rao is a scholar working on Human-Computer Interaction, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 2.6k indexed citations. Recurring topics across this work include Data Visualization and Analytics (14 papers), Video Analysis and Summarization (8 papers) and Personal Information Management and User Behavior (6 papers). The work is most often cited by research in Human-Computer Interaction (445 citations), Computer Vision and Pattern Recognition (1.5k citations) and Information Systems and Management (318 citations). Ramana Rao has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Stuart K. Card, Peter Pirolli, John Lamping, James E. Pitkow, David Rosenblitt, Thomas W. Malone, Kum‐Yew Lai, Kenneth R. Grant, Jock D. Mackinlay and W. C. Johnson. Their work appears in journals such as Communications of the ACM, Metallurgical and Materials Transactions A and Journal of Knowledge Management.
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.