Usha Batra

494 citations
48 papers · 365 · h-index 12

Impact in

Papers in

Usha Batra

41 papers receiving 330 citations

Peers

Usha Batra
Comparison fields: 5 of 74
  • Information Systems 100
  • Computer Networks and Communications 81
  • Health Information Management 11
  • Computer Vision and Pattern Recognition 53
  • Artificial Intelligence 83
Replace Anupkumar M. Bongale with:
Anupkumar M. Bongale India
Chunlong Fan China
Salah-ddine Krit Morocco
T. Rajasanthosh Kumar India
Gandikota Ramu India
Abdullah Algarni Saudi Arabia
Omar Ismael Al-Sanjary Malaysia
Qizhang Feng United States
Thipendra P. Singh India
Prateep Misra India
Usha Batra relative to Anupkumar M. Bongale India Anupkumar M. Bongale's profile →
Citations per field
00.5×3.5×
Anupkumar M. Bongale · 1×
Citations per year

Countries citing papers authored by Usha Batra

Since Specialization
Citations

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

Fields of papers citing papers by Usha Batra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Usha Batra, 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 Usha Batra Line = papers co-authored together Usha Batra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202048
2 202132
3 202028
4 201827
5 201722
6 201717
7 202116
8 202116
9 201814
10 201713
11 202012
12 201511
13 202310
14
A review to predictive methodology to diagnose chronic kidney disease
20169
15 20179
16 20218
17 20226
18 20236
19 20206
20 20205

About Usha Batra

Usha Batra is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 48 papers that have together received 365 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (7 papers), Advanced Steganography and Watermarking Techniques (6 papers), IoT and Edge/Fog Computing (6 papers), Chaos-based Image/Signal Encryption (6 papers), Blockchain Technology Applications and Security (5 papers), Software System Performance and Reliability (5 papers), AI in cancer detection (4 papers) and Digital Media Forensic Detection (4 papers). The work is most often cited by research in Information Systems (100 citations), Computer Networks and Communications (81 citations), Health Information Management (11 citations), Computer Vision and Pattern Recognition (53 citations) and Artificial Intelligence (83 citations). Usha Batra has collaborated with scholars based in India, United States and South Africa. Frequent co-authors include Neha Sharma, Shubham Verma, Deepika Kumar, Joy Prakash Misra, Yogesh Kumar, Brajendra Panda, S. Mukherjee, Velaphi Msomi, Sudeep Sharma and Shelly Sachdeva. Their work appears in journals such as Scientific Reports, Genetic Programming and Evolvable Machines, Indian Journal of Science and Technology, Health Policy and Technology and Ethics and Information Technology.

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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