Parth Goel

406 total citations
36 papers, 180 citations indexed

About

Parth Goel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Parth Goel has authored 36 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Parth Goel's work include Face recognition and analysis (4 papers), Face and Expression Recognition (4 papers) and Smart Agriculture and AI (4 papers). Parth Goel is often cited by papers focused on Face recognition and analysis (4 papers), Face and Expression Recognition (4 papers) and Smart Agriculture and AI (4 papers). Parth Goel collaborates with scholars based in India, Netherlands and Australia. Parth Goel's co-authors include Amit Ganatra, Dweepna Garg, Ketan Kotecha, Sharnil Pandya, Vijayakumar Varadarajan, Bankim Patel, Vaibhav Singh, Nitesh Pradhan, Kirtan Patel and Vijaypal Singh Dhaka and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Parth Goel

27 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parth Goel India 9 72 38 19 14 14 36 180
Aadarsh Jha United States 5 92 1.3× 70 1.8× 25 1.3× 15 1.1× 17 1.2× 7 195
Ingrid Nurtanio Indonesia 9 60 0.8× 62 1.6× 11 0.6× 33 2.4× 20 1.4× 82 242
Esa Prakasa Indonesia 8 76 1.1× 25 0.7× 13 0.7× 24 1.7× 22 1.6× 47 242
Finney Daniel Shadrach India 9 36 0.5× 44 1.2× 18 0.9× 10 0.7× 15 1.1× 33 205
Fahad Alqurashi Saudi Arabia 8 40 0.6× 42 1.1× 14 0.7× 19 1.4× 10 0.7× 29 230
Jiaji Wang China 7 29 0.4× 41 1.1× 22 1.2× 7 0.5× 28 2.0× 12 202
R. Vijaya Kumar Reddy India 7 83 1.2× 43 1.1× 13 0.7× 13 0.9× 6 0.4× 35 195
J. Surendiran India 10 36 0.5× 47 1.2× 24 1.3× 19 1.4× 5 0.4× 28 209
L. Megalan Leo India 9 36 0.5× 41 1.1× 16 0.8× 26 1.9× 30 2.1× 33 216
Deepak Mane India 7 61 0.8× 60 1.6× 22 1.2× 7 0.5× 8 0.6× 40 157

Countries citing papers authored by Parth Goel

Since Specialization
Citations

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

Fields of papers citing papers by Parth Goel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parth Goel

This figure shows the co-authorship network connecting the top 25 collaborators of Parth Goel. A scholar is included among the top collaborators of Parth Goel 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 Parth Goel. Parth Goel 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.
Goel, Parth, et al.. (2025). Deep learning approach for weather classification using pre-trained convolutional neural networks. Procedia Computer Science. 252. 136–145.
3.
Garg, Dweepna, et al.. (2024). Improvisation in Spinal Surgery Using AR (Augmented Reality), MR (Mixed Reality), and VR (Virtual Reality). SHILAP Revista de lepidopterología. 186–186. 3 indexed citations
5.
Chang, Che‐Jui, et al.. (2024). Learning from Synthetic Human Group Activities. 21922–21932. 2 indexed citations
9.
Goel, Parth, et al.. (2024). Evaluating RAG Pipeline in Multimodal LLM-based Question Answering Systems. 69–75. 1 indexed citations
13.
Goel, Parth & Amit Ganatra. (2023). Handwritten Gujarati Numerals Classification Based on Deep Convolution Neural Networks Using Transfer Learning Scenarios. IEEE Access. 11. 20202–20215. 8 indexed citations
14.
15.
Goel, Parth, et al.. (2023). Wild Animal Detection using YOLOv8. Procedia Computer Science. 230. 100–111. 14 indexed citations
16.
Goel, Parth, et al.. (2022). Yoga Pose Classification using Angle Heuristic Approach. 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA). 1709–1714. 8 indexed citations
17.
Goel, Parth, et al.. (2021). An amalgamation of YOLOv4 and XGBoost for next-gen smart traffic management system. PeerJ Computer Science. 7. e586–e586. 9 indexed citations
18.
Goel, Parth, et al.. (2020). Correlation Between Smoking Scenes Shown in Ott Content and Potential Impact on Its Viewers.. SSRN Electronic Journal. 1 indexed citations
19.
Garg, Dweepna, Parth Goel, Sharnil Pandya, Amit Ganatra, & Ketan Kotecha. (2018). A Deep Learning Approach for Face Detection using YOLO. 1–4. 57 indexed citations
20.
Goel, Parth. (2017). The Internet of Things: A Main Source of Big Data Analytics. Journals & Books Hosting (International Knowledge Sharing Platform). 8(1). 12–16. 1 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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