Gurram Sunitha

592 total citations
26 papers, 196 citations indexed

About

Gurram Sunitha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gurram Sunitha has authored 26 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gurram Sunitha's work include AI in cancer detection (5 papers), Smart Agriculture and AI (5 papers) and Advanced Neural Network Applications (3 papers). Gurram Sunitha is often cited by papers focused on AI in cancer detection (5 papers), Smart Agriculture and AI (5 papers) and Advanced Neural Network Applications (3 papers). Gurram Sunitha collaborates with scholars based in India, Saudi Arabia and Uzbekistan. Gurram Sunitha's co-authors include S. Neelakandan, Vinay Kumar, B. T. Geetha, Rajesh Arunachalam, J. Avanija, K. Reddy Madhavi, Vinay Kumar Nassa, Mahmoud M. A. Eid, Ahmed Nabih Zaki Rashed and Ganesh Babu Loganathan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Image and Vision Computing and Multimedia Tools and Applications.

In The Last Decade

Gurram Sunitha

21 papers receiving 173 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gurram Sunitha India 6 74 56 21 20 20 26 196
Kwabena Adu Ghana 9 77 1.0× 110 2.0× 32 1.5× 77 3.9× 37 1.9× 24 287
M. Ramya India 9 65 0.9× 56 1.0× 11 0.5× 61 3.0× 4 0.2× 51 246
Baofang Chang China 10 83 1.1× 77 1.4× 14 0.7× 54 2.7× 81 4.0× 22 281
Amreen Batool South Korea 10 77 1.0× 84 1.5× 8 0.4× 38 1.9× 13 0.7× 18 229
Alejandro Mora-Rubio Colombia 8 95 1.3× 82 1.5× 5 0.2× 73 3.6× 12 0.6× 11 256
Khawaja Tehseen Ahmed Pakistan 11 276 3.7× 81 1.4× 11 0.5× 40 2.0× 12 0.6× 18 364
Sujatha Canavoy Narahari India 8 47 0.6× 55 1.0× 5 0.2× 27 1.4× 22 1.1× 27 192
Reza Moradi Rad Canada 12 228 3.1× 109 1.9× 9 0.4× 21 1.1× 15 0.8× 23 388
Junjie Yang China 8 75 1.0× 53 0.9× 11 0.5× 10 0.5× 8 0.4× 40 194

Countries citing papers authored by Gurram Sunitha

Since Specialization
Citations

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

Fields of papers citing papers by Gurram Sunitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gurram Sunitha

This figure shows the co-authorship network connecting the top 25 collaborators of Gurram Sunitha. A scholar is included among the top collaborators of Gurram Sunitha 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 Gurram Sunitha. Gurram Sunitha 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.
Geetha, N. & Gurram Sunitha. (2024). Pelican optimization algorithm with convolutional-recurrent hop field neural network for unmanned aerial image classification model. Multimedia Tools and Applications. 83(33). 79029–79046. 4 indexed citations
2.
Sunitha, Gurram, et al.. (2024). Big data analytics in healthcare environment using chaotic red deer optimizer with deep learning for disease classification model. Multimedia Tools and Applications. 83(32). 77697–77715. 2 indexed citations
3.
Sunitha, Gurram, et al.. (2024). Road Object Detection Using Yolov8. 847–853. 2 indexed citations
4.
Sunitha, Gurram, et al.. (2024). CETR: CenterNet-Vision transformer model for wheat head detection. Journal of Autonomous Intelligence. 7(3).
5.
Sunitha, Gurram, et al.. (2023). SegMatic: A Deep Neural Network Learning Model for Semantic Segmentation. International Journal of Electronics and Communication Engineering. 10(10). 40–48. 1 indexed citations
6.
Arunachalam, Rajesh, et al.. (2023). A smart Alzheimer’s patient monitoring system with IoT-assisted technology through enhanced deep learning approach. Knowledge and Information Systems. 65(12). 5561–5599. 5 indexed citations
7.
Sunitha, Gurram, et al.. (2023). Vision Transformer based ResNet Model for Pneumonia Prediction. 316–321. 4 indexed citations
8.
Sunitha, Gurram, et al.. (2023). Enhancing Asian Indigenous Language Processing through Deep Learning-based Handwriting Recognition and Optimization Techniques. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(8). 1–20.
9.
Sunitha, Gurram, et al.. (2023). RetinaNet and Vision Transformer-Based Model for Wheat Head Detection. 151–156. 2 indexed citations
10.
Sunitha, Gurram, et al.. (2022). Speech Recognition based Assistant Bee: Vision to the Impaired. 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA). 1535–1540.
11.
Sunitha, Gurram, et al.. (2022). Prediction and Analysis of Cervical Cancer: An Ensemble Approach. 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA). 1734–1739. 4 indexed citations
12.
Sunitha, Gurram, et al.. (2022). Intelligent deep learning based ethnicity recognition and classification using facial images. Image and Vision Computing. 121. 104404–104404. 45 indexed citations
13.
Sunitha, Gurram, Rajesh Arunachalam, Mohammed Abd‐Elnaby, Mahmoud M. A. Eid, & Ahmed Nabih Zaki Rashed. (2022). A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features. International Journal of Imaging Systems and Technology. 32(5). 1433–1446. 18 indexed citations
14.
Sunitha, Gurram, et al.. (2022). Modeling Convolutional Neural Network for Detection of Plant Leaf Spot Diseases. 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC). 1187–1192. 6 indexed citations
15.
Prabhakar, Telagarapu, et al.. (2021). Automatic Detection of Diabetic Retinopathy in Retinal Images: A Study of Recent Advances. Annals of the Romanian Society for Cell Biology. 15277–15289. 1 indexed citations
16.
Arunachalam, Rajesh, et al.. (2021). A deep neural network learning‐based speckle noise removal technique for enhancing the quality of synthetic‐aperture radar images. Concurrency and Computation Practice and Experience. 33(13). 23 indexed citations
17.
Nassa, Vinay Kumar, et al.. (2021). Deep Learning-Based Skin Lesion Diagnosis Model Using Dermoscopic Images. Intelligent Automation & Soft Computing. 31(1). 621–634. 55 indexed citations
18.
Sunitha, Gurram & J. Avanija. (2021). Program Assessment and Evaluation for Continuous Quality Improvement. Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation. 34(3). 42–42. 2 indexed citations
19.
Sunitha, Gurram, et al.. (2019). Accident Prevention and Traffic Control by Otsu Method and Haar-Cascade Hand Detector. International Journal of Engineering and Advanced Technology. 9(2). 5328–5333. 1 indexed citations
20.
Sunitha, Gurram, et al.. (2019). Data Stream Clustering Algorithms: Challenges and Future Directions. International Journal of Innovative Technology and Exploring Engineering. 8(11). 3676–3681. 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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