Rajvardhan Patil

693 total citations · 1 hit paper
35 papers, 305 citations indexed

About

Rajvardhan Patil is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Rajvardhan Patil has authored 35 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Rajvardhan Patil's work include Topic Modeling (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Liver Disease and Transplantation (3 papers). Rajvardhan Patil is often cited by papers focused on Topic Modeling (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Liver Disease and Transplantation (3 papers). Rajvardhan Patil collaborates with scholars based in United States, India and China. Rajvardhan Patil's co-authors include Venkat N. Gudivada, Thomas F Heston, Sourya Acharya, Zhengxin Chen, Sunil Kumar, Yong Shi, Anil Wanjari, Reza Jalilzadeh Hamidi, Sachin Agrawal and Ailin Asadinejad and has published in prestigious journals such as IEEE Access, Applied Sciences and Electronics.

In The Last Decade

Rajvardhan Patil

27 papers receiving 293 citations

Hit Papers

A Review of Current Trends, Techniques, and Challenges in... 2024 2026 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Review of Current Trends, Techniques, and Challenges in Large Language Models (LLMs)
    2024 62 citations Rajvardhan Patil, Venkat N. Gudivada Applied Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rajvardhan Patil United States 9 108 32 31 31 26 35 305
Amr Mohamed El Koshiry Saudi Arabia 6 98 0.9× 23 0.7× 18 0.6× 53 1.7× 13 0.5× 13 261
Entesar Hamed I. Eliwa Saudi Arabia 7 98 0.9× 23 0.7× 18 0.6× 53 1.7× 13 0.5× 17 270
Nabeel Sabir Khan Pakistan 10 114 1.1× 19 0.6× 66 2.1× 35 1.1× 40 1.5× 13 314
El-Sayed Atlam Saudi Arabia 9 153 1.4× 25 0.8× 21 0.7× 38 1.2× 30 1.2× 24 288
Sashikala Mishra India 10 172 1.6× 14 0.4× 40 1.3× 33 1.1× 18 0.7× 47 339
Maryem Rhanoui Morocco 7 226 2.1× 15 0.5× 29 0.9× 57 1.8× 19 0.7× 35 382
Ángel Fernández-Leal Spain 6 157 1.5× 26 0.8× 14 0.5× 26 0.8× 11 0.4× 9 411
Kamran Kowsari United States 9 339 3.1× 29 0.9× 44 1.4× 71 2.3× 24 0.9× 19 558
Fadi A. Zaraket Lebanon 10 61 0.6× 12 0.4× 35 1.1× 43 1.4× 29 1.1× 36 250
Mohamed Elaraby Egypt 9 180 1.7× 22 0.7× 12 0.4× 34 1.1× 19 0.7× 17 306

Countries citing papers authored by Rajvardhan Patil

Since Specialization
Citations

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

Fields of papers citing papers by Rajvardhan Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajvardhan Patil

This figure shows the co-authorship network connecting the top 25 collaborators of Rajvardhan Patil. A scholar is included among the top collaborators of Rajvardhan Patil 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 Rajvardhan Patil. Rajvardhan Patil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Patil, Rajvardhan, et al.. (2025). A Prompt Engineering Framework for Large Language Model–Based Mental Health Chatbots: Conceptual Framework. JMIR Mental Health. 12. e75078–e75078.
2.
Patil, Rajvardhan, et al.. (2025). Analyzing LLAMA3 Performance on Classification Task Using LoRA and QLoRA Techniques. Applied Sciences. 15(6). 3087–3087.
3.
Patil, Rajvardhan, et al.. (2025). RAGMed: A RAG-Based Medical AI Assistant for Improving Healthcare Delivery. AI. 6(10). 240–240.
4.
Patil, Rajvardhan, et al.. (2024). An Efficient Deep Learning Approach for Malaria Parasite Detection in Microscopic Images. Diagnostics. 14(23). 2738–2738. 2 indexed citations
5.
Acharya, Sourya, et al.. (2024). Exploring Haematological Complications in Cirrhosis of the Liver: A Comprehensive Review. Cureus. 16(7). e65319–e65319.
6.
Patil, Rajvardhan, et al.. (2024). T-cell Lymphoblastic Lymphoma Unveiling As Superior Vena Cava Syndrome in a 19-Year-Old Male. Cureus. 16(2). e54729–e54729.
7.
Acharya, Sourya, et al.. (2024). A Comprehensive Review of the Role of Stem Cells in Neuroregeneration: Potential Therapies for Neurological Disorders. Cureus. 16(8). e67506–e67506. 4 indexed citations
8.
Acharya, Sourya, et al.. (2024). Navigating Disease Management: A Comprehensive Review of the De Ritis Ratio in Clinical Medicine. Cureus. 16(7). e64447–e64447. 2 indexed citations
9.
Patil, Rajvardhan, et al.. (2024). A Review of Current Trends, Techniques, and Challenges in Large Language Models (LLMs). Preprints.org. 26 indexed citations
10.
Patil, Rajvardhan, et al.. (2024). Utility of Hemogram-based Parameter in Predicting Hospital Stay in Liver Cirrhosis: A 2-year Prospective Observational Study. Journal of Datta Meghe Institute of Medical Sciences University. 19(3). 522–528.
11.
Wanjari, Anil, et al.. (2024). A Comprehensive Review of Monoclonal Antibodies in Modern Medicine: Tracing the Evolution of a Revolutionary Therapeutic Approach. Cureus. 16(6). e61983–e61983. 23 indexed citations
12.
Patil, Rajvardhan, et al.. (2024). Prompt Engineering in Healthcare. Electronics. 13(15). 2961–2961. 29 indexed citations
13.
Patil, Rajvardhan, et al.. (2023). A Survey of Text Representation and Embedding Techniques in NLP. IEEE Access. 11. 36120–36146. 66 indexed citations
14.
Patil, Rajvardhan, et al.. (2023). Object Based Vehicle Track Navigation System. International Journal of Innovations in Engineering and Science. 8(8). 1 indexed citations
15.
Patil, Rajvardhan, et al.. (2020). Application of Convolutional Neural Networks For Wild Fire Detection. 1–5. 5 indexed citations
16.
Khan, Muhammad S., et al.. (2020). Internet of Things Based Remote Sensing for Ornithological Monitoring. 71–73. 2 indexed citations
17.
Patil, Rajvardhan, et al.. (2019). Feature-Set for Sentiment analysis. 2. 1–5. 3 indexed citations
18.
Patil, Rajvardhan, et al.. (2018). The Effects of the Use of Internet and Phone on Students’ Performance across Different Disciplines. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 642–650. 2 indexed citations
19.
Patil, Rajvardhan, et al.. (2018). Statistical Analysis of Acoustic Response of PVC Pipes for Crack Detection. 2. 1–5. 8 indexed citations
20.
Patil, Rajvardhan, et al.. (2011). Measuring disruption from software evolution activities using graph-based metrics. 532–535. 3 indexed citations

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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