Shruti Jain

2.1k total citations
180 papers, 1.3k citations indexed

About

Shruti Jain is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Shruti Jain has authored 180 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 36 papers in Electrical and Electronic Engineering and 32 papers in Biomedical Engineering. Recurrent topics in Shruti Jain's work include Retinal Imaging and Analysis (22 papers), Brain Tumor Detection and Classification (21 papers) and Digital Imaging for Blood Diseases (20 papers). Shruti Jain is often cited by papers focused on Retinal Imaging and Analysis (22 papers), Brain Tumor Detection and Classification (21 papers) and Digital Imaging for Blood Diseases (20 papers). Shruti Jain collaborates with scholars based in India, Nigeria and United States. Shruti Jain's co-authors include Meenakshi Sood, Ayodeji Olalekan Salau, Harsh Sohal, Ashutosh Sharma, Nikhil Marriwala, Sudip Paul, Pradeep Kumar Naik, Sunil Bhooshan, C. C. Tripathi and Manish Rana and has published in prestigious journals such as SHILAP Revista de lepidopterología, Current Medicinal Chemistry and Neural Computing and Applications.

In The Last Decade

Shruti Jain

153 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shruti Jain India	16	329	288	227	180	174	180	1.3k
Norah Saleh Alghamdi Saudi Arabia	21	236 0.7×	363 1.3×	130 0.6×	438 2.4×	59 0.3×	106	1.3k
Atef Zaguia Saudi Arabia	19	245 0.7×	184 0.6×	94 0.4×	326 1.8×	82 0.5×	51	1.2k
Neelu Khare India	13	190 0.6×	295 1.0×	43 0.2×	533 3.0×	98 0.6×	43	1.2k
T R Mahesh India	21	235 0.7×	309 1.1×	84 0.4×	529 2.9×	67 0.4×	163	1.4k
Diyar Qader Zeebaree Iraq	14	360 1.1×	308 1.1×	76 0.3×	646 3.6×	75 0.4×	25	1.3k
Nagwan Abdel Samee Saudi Arabia	20	348 1.1×	280 1.0×	72 0.3×	617 3.4×	108 0.6×	101	1.3k
Francesco Tortorella Italy	20	386 1.2×	323 1.1×	302 1.3×	662 3.7×	197 1.1×	75	1.4k
P. Manimegalai India	14	172 0.5×	108 0.4×	85 0.4×	103 0.6×	60 0.3×	96	686
F. M. Javed Mehedi Shamrat Bangladesh	21	189 0.6×	466 1.6×	96 0.4×	679 3.8×	66 0.4×	67	1.6k
Nikita Singh India	16	212 0.6×	193 0.7×	30 0.1×	289 1.6×	35 0.2×	64	834

Countries citing papers authored by Shruti Jain

Since Specialization

Citations

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

Fields of papers citing papers by Shruti Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shruti Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Shruti Jain. A scholar is included among the top collaborators of Shruti Jain 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 Shruti Jain. Shruti Jain 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

Shrivastava, Rahul, et al.. (2025). Computational Model to Predict Potential Therapeutic Targets Employing Generative Adversarial Networks for Analysis of Proteins Involved in Mycobacterium fortuitum Biofilm Formation. Current Medicinal Chemistry. 32(37). 8336–8349.

Jain, Shruti, et al.. (2024). Smart Seizure Detection System: Machine Learning Based Model in Healthcare IoT. Current Aging Science. 18(1). 29–38. 1 indexed citations

Srivastava, Amit, et al.. (2024). Efficiency evaluation of state cooperative banks employing data envelopment analysis and neural network technique. International Journal of Business Process Integration and Management. 11(3). 179–185.

Marriwala, Nikhil, C. C. Tripathi, Shruti Jain, & Dinesh Kumar. (2023). Mobile Radio Communications and 5G Networks. Lecture notes in networks and systems. 9 indexed citations

Jain, Shruti, et al.. (2023). A deep learning approach for assessing stress levels in patients using electroencephalogram signals. Decision Analytics Journal. 7. 100211–100211. 15 indexed citations

Jain, Shruti, et al.. (2023). Detection of Brain Tumor Employing Residual Network-based Optimized Deep Learning. Current Computer - Aided Drug Design. 21(1). 15–27. 4 indexed citations

Jain, Shruti, et al.. (2022). Current issues and emerging techniques for VLSI testing - A review☆. Measurement Sensors. 24. 100497–100497.

Jain, Shruti, et al.. (2021). Detection of Cones for Different Color Visual Impairment. 7–12.

Jain, Shruti, et al.. (2020). Retinal blood vessel localization to expedite PDR diagnosis. Periodicals of Engineering and Natural Sciences (PEN). 8(3). 1233–1246. 1 indexed citations

10.

Jain, Shruti. (2016). Compedium model using frequency / cumulative distribution function for receptors of survival proteins: Epidermal growth factor and insulin. SHILAP Revista de lepidopterología. 1 indexed citations

11.

Jain, Shruti. (2016). Regression analysis on different mitogenic pathways. SHILAP Revista de lepidopterología. 2 indexed citations

12.

Jain, Shruti, et al.. (2016). CLASSIFICATION OF FOCAL KIDNEY LESIONS USING WAVELET-BASED TEXTURE DESCRIPTORS. International Journal of Pharma and Bio Sciences. 4 indexed citations

13.

Jain, Shruti, et al.. (2016). Classification of breast lesions based on laws' feature extraction techniques. International Conference on Computing for Sustainable Global Development. 1700–1704. 6 indexed citations

14.

Jain, Shruti & Durg Singh Chauhan. (2015). Implementation of fuzzy system using different voltages of OTA for JNK pathway leading to cell survival/ death. SHILAP Revista de lepidopterología. 3 indexed citations

15.

Jain, Shruti, et al.. (2014). Indigenous Design of Electronic Circuit forElectrocardiograph. International Journal of Innovative Research in Science Engineering and Technology. 3(5). 2 indexed citations

16.

Jain, Shruti. (2012). SYSTEM MODELING OF CELL SURVIVAL AND CELL DEATH : A DETERMINISTIC MODEL USING FUZZY SYSTEM. International Journal of Pharma and Bio Sciences. 7 indexed citations

17.

Jain, Shruti, Sunil Bhooshan, & Pradeep Kumar Naik. (2011). Mathematical modeling deciphering balance between cell survival and cell death using insulin. SHILAP Revista de lepidopterología. 6 indexed citations

18.

Jain, Shruti, Pradeep Kumar Naik, & Sunil Bhooshan. (2010). Petri Net Implementation of Cell Signaling for Cell Death. International Journal of Pharma and Bio Sciences. 2 indexed citations

19.

Tripathi, C. C., et al.. (2008). Development of low cost set up for anodic bonding and its characterization. Indian Journal of Pure & Applied Physics. 46(10). 738–743. 2 indexed citations

20.

Jain, Shruti, et al.. (1969). Brain Tumor Detection from MR Images Employing Fuzzy Graph Cut Technique. Recent Patents on Computer Science. 12. 1–8. 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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