Geeta Rani

801 total citations · 2 hit papers
23 papers, 473 citations indexed

About

Geeta Rani is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Plant Science. According to data from OpenAlex, Geeta Rani has authored 23 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Plant Science. Recurrent topics in Geeta Rani's work include COVID-19 diagnosis using AI (4 papers), Obstructive Sleep Apnea Research (3 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Geeta Rani is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Obstructive Sleep Apnea Research (3 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Geeta Rani collaborates with scholars based in India, Italy and South Korea. Geeta Rani's co-authors include Vijaypal Singh Dhaka, Kavita Kavita, Deepak Sinwar, Muhammad Fazal Ijaz, Marcin Woźniak, Monika Agarwal, Ester Zumpano, Eugenio Vocaturo, Amir H. Gandomi and Ambeshwar Kumar and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Geeta Rani

17 papers receiving 455 citations

Hit Papers

align trajectories sort by overperformance

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.

A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases

2021 244 citations Vijaypal Singh Dhaka, Geeta Rani et al. Sensors profile →
Deep learning for enhanced brain Tumor Detection and classification

2024 54 citations Monika Agarwal, Geeta Rani et al. Results in Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geeta Rani India	10	217	84	84	70	62	23	473
Peng Wan China	9	159 0.7×	46 0.5×	99 1.2×	65 0.9×	83 1.3×	42	489
Carlos Alberto Olvera-Olvera Mexico	9	168 0.8×	48 0.6×	46 0.5×	58 0.8×	33 0.5×	33	355
Asif Iqbal Khan India	8	162 0.7×	72 0.9×	56 0.7×	63 0.9×	28 0.5×	22	413
Gregorius Natanael Elwirehardja Indonesia	7	58 0.3×	36 0.4×	32 0.4×	52 0.7×	40 0.6×	32	268
Sundar Anand India	5	356 1.6×	48 0.6×	146 1.7×	24 0.3×	27 0.4×	5	496
G. R. Sreekanth India	9	79 0.4×	47 0.6×	41 0.5×	47 0.7×	24 0.4×	23	245
S. Murugavalli India	8	133 0.6×	153 1.8×	60 0.7×	89 1.3×	27 0.4×	32	414
Zhencun Jiang China	5	159 0.7×	78 0.9×	95 1.1×	72 1.0×	76 1.2×	10	312
Hashim Ali Pakistan	8	152 0.7×	106 1.3×	82 1.0×	82 1.2×	23 0.4×	16	362

Countries citing papers authored by Geeta Rani

Since Specialization

Citations

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

Fields of papers citing papers by Geeta Rani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geeta Rani

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

All Works

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20 of 20 papers shown

Agarwal, Naresh Kumar, et al.. (2025). Machine learning approach to gait analysis for Parkinson’s disease detection and severity classification. Frontiers in Robotics and AI. 12. 1623529–1623529.

Dhaka, Vijaypal Singh, Geeta Rani, Sahil Verma, et al.. (2025). Integrating physiological signals for enhanced sleep apnea diagnosis with SleepNet. Scientific Reports. 15(1). 31715–31715.

Agarwal, Monika, et al.. (2024). Deep learning for enhanced brain Tumor Detection and classification. Results in Engineering. 22. 102117–102117. 54 indexed citations breakdown →

Rani, Geeta, et al.. (2024). LSEG: Lung Segmentation for Pulmonary Disease Affected Chest Radiographs. 116–121.

Rani, Geeta, et al.. (2023). CrowdDCNN: Deep convolution neural network for real-time crowd counting on IoT edge. Engineering Applications of Artificial Intelligence. 126. 107089–107089. 6 indexed citations

Dhaka, Vijaypal Singh, et al.. (2023). Forecasting of mobile network traffic and spatio–temporal analysis using modLSTM. Machine Learning. 113(4). 2277–2300.

Dhaka, Vijaypal Singh, et al.. (2023). Efficient Deep Learning Based Hybrid Model to Detect Obstructive Sleep Apnea. Sensors. 23(10). 4692–4692. 14 indexed citations

Jain, Shruti, Naveen Kumar, Saloni Sharma, et al.. (2023). A facile synthesis of Bi2O3/SnS2 and Ag@Bi2O3/SnS2 nanostructures and their enhanced photodegradation application toward RhB. Materials Today Sustainability. 24. 100539–100539. 18 indexed citations

Kundu, Nidhi, et al.. (2023). Role of Internet of Things and Deep Learning Techniques in Plant Disease Detection and Classification: A Focused Review. Sensors. 23(18). 7877–7877. 25 indexed citations

10.

Tomar, Neeraj, Geeta Rani, Vijaypal Singh Dhaka, et al.. (2023). Molecular Structure-Based Prediction of Absorption Maxima of Dyes Using ANN Model. Big Data and Cognitive Computing. 7(2). 115–115. 6 indexed citations

11.

Pradhan, Nitesh, et al.. (2023). Conditional Generative Adversarial Network Model for Conversion of 2 Dimensional Radiographs Into 3 Dimensional Views. IEEE Access. 11. 96283–96296. 6 indexed citations

12.

Dhaka, Vijaypal Singh, et al.. (2023). Hybrid RNN-based classification of Obstructive Sleep Apnea using single-lead ECG Signals. 518–523. 1 indexed citations

13.

Rani, Geeta, et al.. (2023). Low-Cost Multisensory Robot for Optimized Path Planning in Diverse Environments. Computers. 12(12). 250–250. 2 indexed citations

14.

Rani, Geeta, Jagjit Singh, & Abhishek Khanna. (2023). Comparative Analysis of Generative AI Models. 760–765. 6 indexed citations

15.

Rani, Geeta, et al.. (2022). A multi-modal bone suppression, lung segmentation, and classification approach for accurate COVID-19 detection using chest radiographs. Intelligent Systems with Applications. 16. 200148–200148. 20 indexed citations

16.

Dhaka, Vijaypal Singh, et al.. (2022). Comparative performance assessment of deep learning based image steganography techniques. Scientific Reports. 12(1). 16895–16895. 11 indexed citations

17.

Dhaka, Vijaypal Singh, Geeta Rani, Deepak Sinwar, et al.. (2021). A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases. Sensors. 21(14). 4749–4749. 244 indexed citations breakdown →

18.

Dhaka, Vijaypal Singh, et al.. (2021). A deep learning model for mass screening of COVID‐19. International Journal of Imaging Systems and Technology. 31(2). 483–498. 19 indexed citations

19.

Agarwal, Monika, et al.. (2020). Sequential Model for Digital Image Contrast Enhancement. Recent Advances in Computer Science and Communications. 14(9). 2772–2784. 4 indexed citations

20.

Agarwal, Monika, Geeta Rani, & Vijaypal Singh Dhaka. (2020). Optimized contrast enhancement for tumor detection. International Journal of Imaging Systems and Technology. 30(3). 687–703. 19 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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