Deepika Shukla

72 total papers · 1.4k total citations
45 papers, 609 citations indexed

About

Deepika Shukla is a scholar working on Computer Vision and Pattern Recognition, Periodontics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Deepika Shukla has authored 45 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Periodontics and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Deepika Shukla's work include Advanced MRI Techniques and Applications (7 papers), Alzheimer's disease research and treatments (7 papers) and Image and Video Stabilization (6 papers). Deepika Shukla is often cited by papers focused on Advanced MRI Techniques and Applications (7 papers), Alzheimer's disease research and treatments (7 papers) and Image and Video Stabilization (6 papers). Deepika Shukla collaborates with scholars based in India, Australia and United States. Deepika Shukla's co-authors include Pravat K. Mandal, Manjari Tripathi, Lars Ersland, Deepika Bablani Popli, Anil Verma, Apurva Agarwal, Aman Chowdhry, Seema Hallikerimath, Alka Kale and Rajib Kumar Jha and has published in prestigious journals such as Human Brain Mapping, Journal of Alzheimer s Disease and Pattern Recognition Letters.

In The Last Decade

Deepika Shukla

41 papers receiving 584 citations

Author Peers

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

Author Last Decade Papers Cites
Deepika Shukla 158 109 106 73 69 45 609
Cláudio Galeano Zettler 93 0.6× 132 1.2× 78 0.7× 134 1.8× 14 0.2× 33 642
Andrea Richards 100 0.6× 75 0.7× 146 1.4× 27 0.4× 6 0.1× 26 663
Takayuki Ishida 150 0.9× 98 0.9× 74 0.7× 29 0.4× 5 0.1× 63 623
Wen-Ke Cai 197 1.2× 77 0.7× 72 0.7× 9 0.1× 6 0.1× 32 504
Mari Hashimoto 111 0.7× 94 0.9× 57 0.5× 95 1.3× 3 0.0× 36 641
Didona Ungureanu 119 0.8× 52 0.5× 254 2.4× 12 0.2× 4 0.1× 42 538
Jan Pype 207 1.3× 104 1.0× 203 1.9× 7 0.1× 26 0.4× 26 680
Xiao Zhu 183 1.2× 44 0.4× 144 1.4× 21 0.3× 24 0.3× 34 635
Kazuo Irita 212 1.3× 158 1.4× 92 0.9× 11 0.2× 72 1.0× 53 669
Yoshihisa Koga 182 1.2× 128 1.2× 112 1.1× 26 0.4× 79 1.1× 56 537

Countries citing papers authored by Deepika Shukla

Since Specialization
Citations

This map shows the geographic impact of Deepika Shukla'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 Deepika Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Shukla more than expected).

Fields of papers citing papers by Deepika Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepika Shukla. 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 Deepika Shukla. The network helps show where Deepika Shukla may publish in the future.

Co-authorship network of co-authors of Deepika Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Deepika Shukla. A scholar is included among the top collaborators of Deepika Shukla 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 Deepika Shukla. Deepika Shukla 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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