Anushka Singh

534 citations
25 papers · 237 indexed · 1 hit paper · h-index 8

Anushka Singh

21 papers receiving 211 citations

Hit Papers

Privacy and Security Concerns in Generative AI: A Compreh...86202420262025255075

Peers

Anushka Singh
Comparison fields: 5 of 80
  • Health Informatics 12
  • Safety Research 19
  • Water Science and Technology 29
  • Artificial Intelligence 64
  • Signal Processing 20
Replace Vitobha Munigala with:
Vitobha Munigala India
Shanmukha Guttula India
Hima Patel India
Ruhi Sharma Mittal India
Shashank Mujumdar India
Luis Miralles‐Pechuán Ireland
Juan Carlos Nieves Sweden
Xiuyi Fan Singapore
Alex Khang India
Lelio Campanile Italy
Anushka Singh relative to Vitobha Munigala India Vitobha Munigala's profile →
Citations per field
00.5×2.6×
Vitobha Munigala · 1×
Citations per year

Countries citing papers authored by Anushka Singh

Since Specialization
Citations

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

Fields of papers citing papers by Anushka Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Anushka Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anushka Singh Line = papers co-authored together Anushka Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20257
3 202417
4
Privacy and Security Concerns in Generative AI: A Comprehensive Surveybreakdown →
202486
5 20240
6 20242
7 20243
8 20243
9 20244
10 202317
11 20231
12 20232
13 20230
14 20231
15 20211
16 20213
17 20218
18 20218
19 20193
20 20043

About Anushka Singh

Anushka Singh is a scholar working on Health Informatics, Human-Computer Interaction and Artificial Intelligence, having authored 25 papers that have together received 237 indexed citations. Recurring topics across this work include Water Systems and Optimization (3 papers), Topic Modeling (3 papers), Water Quality Monitoring Technologies (3 papers), Low-power high-performance VLSI design (2 papers), Law, AI, and Intellectual Property (1 paper), Gut microbiota and health (1 paper), Electrical Fault Detection and Protection (1 paper) and Analog and Mixed-Signal Circuit Design (1 paper). The work is most often cited by research in Health Informatics (12 citations), Safety Research (19 citations) and Water Science and Technology (29 citations). Anushka Singh has collaborated with scholars based in India, Singapore and United Kingdom. Frequent co-authors include Vinay Chamola, Biplab Sikdar, Vikas Hassija, Amit Pandey, Amlan Chakrabarti, Vandana Niranjan, A. Chakrabarti, Vikas Hassija, Jyotsna Singh and Abhinav Saxena. Their work appears in journals such as IEEE Access, Computer Applications in Engineering Education, Urban Water Journal, Expert Systems and IFAC-PapersOnLine.

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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