Anushka Anand

25 total papers · 1.8k total citations
16 papers, 1.2k citations indexed

About

Anushka Anand is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Anushka Anand has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Anushka Anand's work include Data Visualization and Analytics (12 papers), Video Analysis and Summarization (5 papers) and Image Retrieval and Classification Techniques (3 papers). Anushka Anand is often cited by papers focused on Data Visualization and Analytics (12 papers), Video Analysis and Summarization (5 papers) and Image Retrieval and Classification Techniques (3 papers). Anushka Anand collaborates with scholars based in United States and India. Anushka Anand's co-authors include Leland Wilkinson, Robert L. Grossman, Kanit Wongsuphasawat, Bill Howe, Dominik Moritz, Jock D. Mackinlay, Jeffrey Heer, Tommy Dang, Justin Talbot and Vidya Setlur and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Anushka Anand

16 papers receiving 1.1k citations

Hit Papers

Voyager: Exploratory Anal... 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anushka Anand 1.0k 508 294 107 95 16 1.2k
Kristin Cook 955 0.9× 383 0.8× 233 0.8× 123 1.1× 128 1.3× 18 1.4k
Deborah F. Swayne 663 0.6× 531 1.0× 266 0.9× 98 0.9× 68 0.7× 31 1.4k
James Eagan 670 0.7× 326 0.6× 127 0.4× 108 1.0× 149 1.6× 27 1.1k
Lucy Nowell 823 0.8× 398 0.8× 215 0.7× 205 1.9× 145 1.5× 19 1.1k
Dominik Sacha 759 0.7× 401 0.8× 213 0.7× 56 0.5× 68 0.7× 27 1.1k
R. Amar 808 0.8× 325 0.6× 136 0.5× 55 0.5× 145 1.5× 10 923
Matthew Brehmer 1.0k 1.0× 330 0.6× 127 0.4× 79 0.7× 265 2.8× 27 1.3k
Hans‐Jörg Schulz 985 1.0× 359 0.7× 217 0.7× 79 0.7× 199 2.1× 57 1.3k
Caroline Ziemkiewicz 739 0.7× 318 0.6× 113 0.4× 56 0.5× 112 1.2× 28 991
Christopher Ahlberg 990 1.0× 350 0.7× 392 1.3× 265 2.5× 245 2.6× 14 1.4k

Countries citing papers authored by Anushka Anand

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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