M. Srinivas

757 total citations
48 papers, 438 citations indexed

About

M. Srinivas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, M. Srinivas has authored 48 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in M. Srinivas's work include Anomaly Detection Techniques and Applications (5 papers), Digital Imaging for Blood Diseases (4 papers) and Glaucoma and retinal disorders (4 papers). M. Srinivas is often cited by papers focused on Anomaly Detection Techniques and Applications (5 papers), Digital Imaging for Blood Diseases (4 papers) and Glaucoma and retinal disorders (4 papers). M. Srinivas collaborates with scholars based in India, United States and United Arab Emirates. M. Srinivas's co-authors include T.S. Ramu, C. Krishna Mohan, Amit Jain, P. Mahalakshmi, Vps Naidu, P. Rajalakshmi, R Bharath, P. Vivekh, G. Narsimha and L.M. Patnaik and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Industry Applications.

In The Last Decade

M. Srinivas

42 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Srinivas India	12	156	114	69	46	45	48	438
Warda M. Shaban Egypt	11	232 1.5×	187 1.6×	48 0.7×	67 1.5×	22 0.5×	23	507
Amir Mosavi Hungary	10	200 1.3×	106 0.9×	46 0.7×	28 0.6×	74 1.6×	20	509
Bilal Alhayani Türkiye	9	92 0.6×	76 0.7×	44 0.6×	18 0.4×	133 3.0×	11	521
Abdullahi Abdu İbrahim Türkiye	13	100 0.6×	45 0.4×	123 1.8×	12 0.3×	59 1.3×	88	507
Allah Ditta Pakistan	12	163 1.0×	34 0.3×	74 1.1×	27 0.6×	96 2.1×	37	470
Mahmoud M. Saafan Egypt	15	224 1.4×	96 0.8×	57 0.8×	32 0.7×	16 0.4×	35	546
Liza Abdul Latiff Malaysia	12	91 0.6×	27 0.2×	162 2.3×	19 0.4×	131 2.9×	55	616
Lourdes Martínez-Villaseñor Mexico	12	201 1.3×	28 0.2×	53 0.8×	13 0.3×	26 0.6×	45	695
Eatedal Alabdulkreem Saudi Arabia	14	170 1.1×	63 0.6×	46 0.7×	10 0.2×	29 0.6×	59	551
Nouh Sabri Elmitwally United Kingdom	12	162 1.0×	38 0.3×	37 0.5×	51 1.1×	95 2.1×	32	430

Countries citing papers authored by M. Srinivas

Since Specialization

Citations

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

Fields of papers citing papers by M. Srinivas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Srinivas

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

Davidson, M. J., M. Srinivas, C. S. P. Rao, et al.. (2025). Segmentation Studies on Al‐Si‐Mg Metallographic Images Using Various Different Deep Learning Algorithms and Loss Functions. Engineering Reports. 7(4). 1 indexed citations

Srinivas, M., et al.. (2024). Breast Cancer Histopathology Classification Using Levenberg–Marquardt Optimised Deep Neural Networks. IJARCCE. 13(8).

Senthil, Sirisha, et al.. (2024). Early detection of glaucoma: feature visualization with a deep convolutional network. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 12(1). 6 indexed citations

Srinivas, M., et al.. (2023). I-S$$^2$$FND: a novel interpretable self-ensembled semi-supervised model based on transformers for fake news detection. Journal of Intelligent Information Systems. 62(2). 355–375. 3 indexed citations

Srinivas, M., et al.. (2023). DenSplitnet: Classifier-invariant neural network method to detect COVID-19 in chest CT data. Journal of Visual Communication and Image Representation. 97. 103949–103949. 4 indexed citations

Srinivas, M., et al.. (2023). An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition. Brain Topography. 37(1). 1–18. 4 indexed citations

Jammalamadaka, S. Rao, et al.. (2023). Focused analysis of RNFL decay in glaucomatous eyes using circular statistics on high-resolution OCT data. PLoS ONE. 18(10). e0292915–e0292915. 1 indexed citations

Srinivas, M., et al.. (2023). Attention-based Deep Neural Network for Wind Power and Solar Radiation Prediction. 1–5. 2 indexed citations

Jenni, Karen E., et al.. (2023). HF-Detect A Hybrid Detector for Manipulated Face Detection*. 1–5.

10.

Srinivas, M., et al.. (2023). A Novel Contactless Middle Finger Knuckle Based Person Identification Using Ensemble Learning. 14. 981–986. 1 indexed citations

11.

Srinivas, M., et al.. (2021). Automate Allocation of Secure Slice in Future Mobile Networks using Machine Learning. 1–7. 2 indexed citations

12.

Srinivas, M., et al.. (2020). Analysis on novel coronavirus (COVID-19) using machine learning methods. Chaos Solitons & Fractals. 139. 110050–110050. 104 indexed citations

13.

Srinivas, M., et al.. (2019). A low-complexity and robust minimum variance beamformer for ultrasound imaging systems using beamspace dominant mode rejection. Ultrasonics. 101. 105979–105979. 4 indexed citations

14.

Srinivas, M., et al.. (2016). Importance of Circular Data in Sports Science – a Review. viXra.

15.

Vivekh, P., et al.. (2016). Desalination technology selection using multi-criteria evaluation: TOPSIS and PROMETHEE-2. International Journal of Low-Carbon Technologies. ctw001–ctw001. 24 indexed citations

16.

Srinivas, M., R Bharath, P. Rajalakshmi, & C. Krishna Mohan. (2015). Multi-level classification: A generic classification method for medical datasets. 262–267. 28 indexed citations

17.

Srinivas, M., et al.. (2014). Dictionary based action video classification with action bank. 58. 597–600. 3 indexed citations

18.

Jain, Amit, et al.. (2008). A web based expert system shell for fault diagnosis and control of power system equipment. 20 indexed citations

19.

Srinivas, M., M. Nagao, & M. Kosaki. (2002). Experimental and statistical considerations in ageing studies on electrical insulation. 2. 819–822. 1 indexed citations

20.

Srinivas, M. & L.M. Patnaik. (1993). Binomially Distributed Populations for Modelling GAs. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 138–145. 10 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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