Anushka Anand
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Information Systems top 5%
- Sociology and Political Science
- Co-authors
- Leland WilkinsonRobert L. GrossmanJeffrey HeerKanit WongsuphasawatJock D. MackinlayDominik MoritzBill HoweTommy Dang
- Topics
- Data Visualization and Analytics (12 papers)Video Analysis and Summarization (5 papers)Image Retrieval and Classification Techniques (3 papers)
- Journals
- IEEE Transactions on Visualization and Computer GraphicsACM Transactions on Knowledge Discovery from Data
- Partner nations
- United StatesIndia
In The Last Decade
Anushka Anand
16 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 1.0k
- Artificial Intelligence 510
- Signal Processing 296
- Information Systems 109
- Sociology and Political Science 95
Countries citing papers authored by Anushka Anand
This map shows the geographic impact of Anushka Anand'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 Anushka Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anushka Anand more than expected).
Fields of papers citing papers by Anushka Anand
This network shows the impact of papers produced by Anushka Anand. 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 Anushka Anand. The network helps show where Anushka Anand may publish in the future.
Co-authorship network of co-authors of Anushka Anand
This figure shows the co-authorship network connecting the top 25 collaborators of Anushka Anand. A scholar is included among the top collaborators of Anushka Anand 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 Anushka Anand. Anushka Anand 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 | 194 | |
| 3 | 68 | |
| 4 | Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendationsbreakdown → | 322 |
| 5 | 13 | |
| 6 | 83 | |
| 7 | 41 | |
| 8 | 26 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 55 | |
| 13 | 8 | |
| 14 | 159 | |
| 15 | 80 | |
| 16 | 117 |
About Anushka Anand
Anushka Anand is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and History and Philosophy of Science, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Visualization and Analytics (12 papers), Video Analysis and Summarization (5 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Signal Processing (296 citations) and Artificial Intelligence (510 citations). Anushka Anand has collaborated with scholars based in United States and India. Frequent co-authors include Leland Wilkinson, Robert L. Grossman, Jeffrey Heer, Kanit Wongsuphasawat, Jock D. Mackinlay, Dominik Moritz, Bill Howe, Tommy Dang, Justin Talbot and Vidya Setlur. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics and ACM Transactions on Knowledge Discovery from Data.
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.