Sriram Devanathan

501 total citations
28 papers, 370 citations indexed

About

Sriram Devanathan is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Sriram Devanathan has authored 28 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 5 papers in Statistics, Probability and Uncertainty and 3 papers in Artificial Intelligence. Recurrent topics in Sriram Devanathan's work include Fault Detection and Control Systems (9 papers), Advanced Statistical Process Monitoring (5 papers) and Control Systems and Identification (4 papers). Sriram Devanathan is often cited by papers focused on Fault Detection and Control Systems (9 papers), Advanced Statistical Process Monitoring (5 papers) and Control Systems and Identification (4 papers). Sriram Devanathan collaborates with scholars based in India, United States and Australia. Sriram Devanathan's co-authors include Derrick K. Rollins, S. S. Bhagawan, Meera Balachandran, Mohan Raj Subramaniam, Duraisamy Kumaresan, Murugasamy Kannan, K. Karthik, B. C. Prasannakumara, K. Chandan and K.V. Nagaraja and has published in prestigious journals such as AIChE Journal, RSC Advances and Journal of Applied Polymer Science.

In The Last Decade

Sriram Devanathan

26 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sriram Devanathan India 9 86 81 73 65 45 28 370
Chandra Mouli R. Madhuranthakam Canada 13 127 1.5× 140 1.7× 99 1.4× 31 0.5× 48 1.1× 39 466
Jiming Yao China 12 60 0.7× 33 0.4× 38 0.5× 55 0.8× 37 0.8× 83 421
A.I. Lygeros Greece 12 127 1.5× 141 1.7× 133 1.8× 37 0.6× 24 0.5× 19 495
Sérgio Mauro da Silva Neiro Brazil 8 40 0.5× 260 3.2× 33 0.5× 44 0.7× 38 0.8× 19 425
Lan Tang China 14 56 0.7× 73 0.9× 248 3.4× 30 0.5× 49 1.1× 43 580
Ping Qian China 11 67 0.8× 28 0.3× 40 0.5× 25 0.4× 42 0.9× 67 436
Lamiae Vernières‐Hassimi France 13 223 2.6× 101 1.2× 106 1.5× 111 1.7× 213 4.7× 24 575
Alireza Shadman Iran 18 42 0.5× 112 1.4× 18 0.2× 64 1.0× 36 0.8× 37 573

Countries citing papers authored by Sriram Devanathan

Since Specialization
Citations

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

Fields of papers citing papers by Sriram Devanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sriram Devanathan

This figure shows the co-authorship network connecting the top 25 collaborators of Sriram Devanathan. A scholar is included among the top collaborators of Sriram Devanathan 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 Sriram Devanathan. Sriram Devanathan 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.
2.
Devanathan, Sriram, et al.. (2024). Assessing the prevalence of iron deficiency anemia and risk factors among children and women: A case study of rural Uttar Pradesh. Clinical Epidemiology and Global Health. 26. 101545–101545. 8 indexed citations
3.
Chandan, K., K. Karthik, Sriram Devanathan, et al.. (2023). Investigation of the thermal analysis of a wavy fin with radiation impact: an application of extreme learning machine. Physica Scripta. 99(1). 15225–15225. 46 indexed citations
4.
Devanathan, Sriram, et al.. (2022). Variance correction principal component analysis—gross error detection with serially correlated data. Measurement Science and Technology. 33(12). 125013–125013.
5.
Devanathan, Sriram, et al.. (2022). Men’s Experience of Women’s Empowerment and Gender Equality: A Phenomenological Study in Kerala, India. Global Social Welfare. 10(2). 105–116. 2 indexed citations
6.
Devanathan, Sriram, et al.. (2021). Contextualizing women’s empowerment frameworks with an emphasis on social support: a study in rural, South India. Community Work & Family. 26(1). 1–20. 11 indexed citations
7.
Devanathan, Sriram, et al.. (2021). Data reconciliation using MA-PCA and EWMA-PCA for large dimensional data. Journal of Intelligent & Fuzzy Systems. 41(5). 5731–5736. 4 indexed citations
8.
Devanathan, Sriram, et al.. (2021). Mental resilience in the context of alcohol use—a qualitative study in a tribal community in South India. Journal of Ethnicity in Substance Abuse. 22(1). 213–237. 4 indexed citations
9.
Devanathan, Sriram, et al.. (2020). Addressing Higher Order Serial Correlation in Techniques for Gross Error Detection. Journal of Computational and Theoretical Nanoscience. 17(1). 297–302. 3 indexed citations
10.
Devanathan, Sriram, et al.. (2020). Towards synergistic women’s empowerment-transformative learning framework for TVET in rural India. Journal of Vocational Education and Training. 75(2). 255–277. 4 indexed citations
11.
Kannan, Murugasamy, et al.. (2020). Degradation kinetics study of Poly lactic acid(PLA) based biodegradable green composites. Materials Today Proceedings. 24. 806–814. 26 indexed citations
12.
Devanathan, Sriram, et al.. (2018). Association of Family Challenges with Self-esteem and Perceived Social Support among Indian Adolescents. Child and Adolescent Social Work Journal. 35(6). 625–637. 2 indexed citations
13.
Ramakrishnan, S., Murali Rangarajan, Sriram Devanathan, et al.. (2016). A design of experiments investigation of the effects of synthesis conditions on the quality of CVD graphene. Materials Research Express. 3(12). 125601–125601. 8 indexed citations
14.
Devanathan, Sriram, et al.. (2016). Solar based lemon grass essential oil distillation for sustainability and livelihood in tribal community. 738–744. 19 indexed citations
15.
Subramaniam, Mohan Raj, Sriram Devanathan, & Duraisamy Kumaresan. (2014). Synthesis of micrometer-sized hierarchical rutile TiO2flowers and their application in dye sensitized solar cells. RSC Advances. 4(69). 36791–36799. 30 indexed citations
16.
Devanathan, Sriram, et al.. (2014). An Approach for the Assessment of India as a Global Oil & Gas R&D Destination. 1 indexed citations
17.
Jelmy, E. J., S. Ramakrishnan, Sriram Devanathan, Murali Rangarajan, & Nikhil K. Kothurkar. (2013). Optimization of the conductivity and yield of chemically synthesized polyaniline using a design of experiments. Journal of Applied Polymer Science. 130(2). 1047–1057. 25 indexed citations
18.
Devanathan, Sriram, Stephen B. Vardeman, & Derrick K. Rollins. (2005). Likelihood and Bayesian Methods for Accurate Identification of Measurement Biases in Pseudo Steady-State Processes. Process Safety and Environmental Protection. 83(12). 1391–1398. 4 indexed citations
19.
Rollins, Derrick K., et al.. (2002). Measurement bias detection in linear dynamic systems. Computers & Chemical Engineering. 26(9). 1201–1211. 8 indexed citations
20.
Devanathan, Sriram, Derrick K. Rollins, & Stephen B. Vardeman. (2000). A new approach for improved identification of measurement bias. Computers & Chemical Engineering. 24(12). 2755–2764. 5 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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