Graphic Era Hill University

41.5k citations
6.3k papers ·

Impact in

Papers in

Graphic Era Hill University

5k papers receiving 41.5k citations

Peers

Graphic Era Hill University
Comparison fields: 5 of 236
  • Health Informatics 372
  • Energy Engineering and Power Technology 339
  • Drug Discovery 33
  • Information Systems 2.8k
  • Health Information Management 901
Replace Dr. B. R. Ambedkar National Institute of Technology Jalandhar with:
Dr. B. R. Ambedkar National Institute of Technology Jalandhar India
SRM University India
Guru Gobind Singh Indraprastha University India
Uttaranchal University India
Manipal University Jaipur
Jaypee Institute of Information Technology India
Sharda University India
Punjab Technical University India
Graphic Era University India
Netaji Subhas University of Technology India
Graphic Era Hill University relative to Dr. B. R. Ambedkar National Institute of Technology Jalandhar India Dr. B. R. Ambedkar National Institute of Technology Jalandhar's profile →
Citations per field
00.5×1.5×2×2.4×
Dr. B. R. Ambedkar National Institute of Technology Jalandhar · 1×
Citations per year

Countries citing scholars working at Graphic Era Hill University

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Graphic Era Hill University. 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 papers produced at Graphic Era Hill University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graphic Era Hill University more than expected).

Fields of papers published by authors at Graphic Era Hill University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Graphic Era Hill University at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Graphic Era Hill University at the time of their publication.

About Graphic Era Hill University

In recent decades, authors affiliated with Graphic Era Hill University have published 6.3k papers, which have received a total of 41.5k indexed citations . Scholars at this organization have produced 219 papers in Health Information Management, 515 papers in Information Systems, 46 papers in Health Informatics, 454 papers in Computer Vision and Pattern Recognition and 753 papers in Plant Science on the topics of Smart Agriculture and AI (606 papers), Advanced Neural Network Applications (210 papers), Artificial Intelligence in Healthcare (210 papers), Blockchain Technology Applications and Security (127 papers), AI in cancer detection (111 papers), Network Security and Intrusion Detection (108 papers), COVID-19 diagnosis using AI (87 papers) and Internet of Things and AI (74 papers). Their work is cited by papers focused on Health Informatics (372 citations), Energy Engineering and Power Technology (339 citations), Drug Discovery (33 citations), Information Systems (2.8k citations) and Health Information Management (901 citations). Authors at Graphic Era Hill University collaborate with scholars in India, Saudi Arabia and Jordan and have published in prestigious journals including Scientific Reports, Results in Engineering, Journal of Drug Delivery Science and Technology, Current Pharmaceutical Design and International Journal of Biological Macromolecules. Some of Graphic Era Hill University's most productive authors include Vinay Kukreja, Mohit Bajaj, Shiva Mehta, Satvik Vats, Himanshu Upreti, Rahul Singh Chauhan, Deepak Verma, Vikrant Sharma, Alok Kumar Pandey and Rishabh Sharma.

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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