Ankita Shukla

41 papers and 221 indexed citations i.

About

Ankita Shukla is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Ankita Shukla has authored 41 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Mechanics and 8 papers in Biomedical Engineering. Recurrent topics in Ankita Shukla’s work include Sparse and Compressive Sensing Techniques (6 papers), Analog and Mixed-Signal Circuit Design (4 papers) and Advanced Numerical Methods in Computational Mathematics (4 papers). Ankita Shukla is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Analog and Mixed-Signal Circuit Design (4 papers) and Advanced Numerical Methods in Computational Mathematics (4 papers). Ankita Shukla collaborates with scholars based in India, United States and Germany. Ankita Shukla's co-authors include Angshul Majumdar, D. Venkatesan, Mani Mehra, Anupriya Gogna, Pavan Turaga, Günter Leugering, Saket Anand, S.K. Dwivedi, Sujay Deb and Hongjun Choi and has published in prestigious journals such as Sensors, Neurocomputing and IEEE Internet of Things Journal.

In The Last Decade

Co-authorship network of co-authors of Ankita Shukla i

Fields of papers citing papers by Ankita Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ankita Shukla

Since Specialization
Citations

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

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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