Srinivasan Radhakrishnan

802 total citations · 1 hit paper
28 papers, 484 citations indexed

About

Srinivasan Radhakrishnan is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Srinivasan Radhakrishnan has authored 28 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Economics and Econometrics, 5 papers in Statistical and Nonlinear Physics and 4 papers in Artificial Intelligence. Recurrent topics in Srinivasan Radhakrishnan's work include Complex Systems and Time Series Analysis (4 papers), Nonlinear Dynamics and Pattern Formation (3 papers) and Time Series Analysis and Forecasting (3 papers). Srinivasan Radhakrishnan is often cited by papers focused on Complex Systems and Time Series Analysis (4 papers), Nonlinear Dynamics and Pattern Formation (3 papers) and Time Series Analysis and Forecasting (3 papers). Srinivasan Radhakrishnan collaborates with scholars based in United States, India and Thailand. Srinivasan Radhakrishnan's co-authors include Sagar Kamarthi, Serkan Erbis, John Isaacs, Yingzi Lin, Ibrahim Zeid, Xiaoning Jin, Yung-Tsun Tina Lee, Abe Zeid, G. Srinivasan and Sudarsan Rachuri and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Srinivasan Radhakrishnan

24 papers receiving 463 citations

Hit Papers

Novel keyword co-occurrence network-based methods to fost... 2017 2026 2020 2023 2017 50 100 150 200 250
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.

  1. Novel keyword co-occurrence network-based methods to foster systematic reviews of scientific literature
    2017 258 citations Srinivasan Radhakrishnan, Serkan Erbis et al. PLoS ONE profile →

Peers

Srinivasan Radhakrishnan
Feng Jian China
Donald Pellegrino United States
Taro Kanno Japan
Xuefeng Zhang China
Miftahuddin Miftahuddin Indonesia
Pranowo Pranowo Indonesia
Giovanni C. Porzio Italy
Dinesh Sharma India
Tom Ritchey Sweden
Xiaodong Yang China
Feng Jian China
Srinivasan Radhakrishnan
Citations per year, relative to Srinivasan Radhakrishnan Srinivasan Radhakrishnan (= 1×) peers Feng Jian

Countries citing papers authored by Srinivasan Radhakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Srinivasan Radhakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivasan Radhakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Srinivasan Radhakrishnan. A scholar is included among the top collaborators of Srinivasan Radhakrishnan 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 Srinivasan Radhakrishnan. Srinivasan Radhakrishnan 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.
Li, Wei, et al.. (2025). Explainable time series features for hard disk drive failure prediction. Engineering Applications of Artificial Intelligence. 152. 110674–110674.
2.
Lu, Zhenyuan, et al.. (2024). Uncertainty quantification in neural-network based pain intensity estimation. PLoS ONE. 19(8). e0307970–e0307970. 2 indexed citations
3.
Radhakrishnan, Srinivasan, et al.. (2023). Analysis of pain research literature through keyword Co-occurrence networks. SHILAP Revista de lepidopterología. 2(9). e0000331–e0000331. 8 indexed citations
4.
Radhakrishnan, Srinivasan, et al.. (2021). Exploration of physiological sensors, features, and machine learning models for pain intensity estimation. PLoS ONE. 16(7). e0254108–e0254108. 53 indexed citations
5.
Radhakrishnan, Srinivasan, et al.. (2021). Aspiring Doctors Cognizance on Organ Donation - A Reflection.. Journal of the Association of Physicians of India. 69(10). 11–12.
6.
Srinivasan, G., et al.. (2021). A CONSTRAINT ANALYSIS ON PRODUCTION AND MARKETING OF BANANA IN ANDHRA PRADESH, INDIA. PLANT ARCHIVES. 21(Suppliment-1). 2215–2216. 2 indexed citations
7.
Radhakrishnan, Srinivasan, et al.. (2021). Role of Cardiac Biomarkers in the Assessment of Acute Cerebrovascular Accident. Journal of Neurosciences in Rural Practice. 12(1). 106–111. 4 indexed citations
8.
Radhakrishnan, Srinivasan, et al.. (2020). Systemic Strongyloidiasis- Is It Dissemination or Hyperinfection?. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH.
9.
Radhakrishnan, Srinivasan, et al.. (2019). Resiliency of Mutualistic Supplier-Manufacturer Networks. Scientific Reports. 9(1). 13559–13559. 15 indexed citations
10.
Radhakrishnan, Srinivasan, Yung-Tsun Tina Lee, Sudarsan Rachuri, & Sagar Kamarthi. (2019). Complexity and entropy representation for machine component diagnostics. PLoS ONE. 14(7). e0217919–e0217919. 4 indexed citations
11.
Radhakrishnan, Srinivasan, Serkan Erbis, John Isaacs, & Sagar Kamarthi. (2017). Novel keyword co-occurrence network-based methods to foster systematic reviews of scientific literature. PLoS ONE. 12(3). e0172778–e0172778. 258 indexed citations breakdown →
12.
Radhakrishnan, Srinivasan, Yung-Tsun Tina Lee, & Sagar Kamarthi. (2017). Estimation of online tool wear in turning processes using recurrence quantification analysis (RQA). 1755–1759. 4 indexed citations
13.
Radhakrishnan, Srinivasan & Sagar Kamarthi. (2016). Convergence and divergence in academic and industrial interests on IOT based manufacturing. 2051–2056. 5 indexed citations
14.
Radhakrishnan, Srinivasan, et al.. (2016). Status of microbial diversity in agroforestry systems in Tamil Nadu, India. Journal of Basic Microbiology. 56(6). 662–669. 16 indexed citations
15.
Radhakrishnan, Srinivasan & Sagar Kamarthi. (2016). Complexity-entropy feature plane for gear fault detection. 2057–2061. 3 indexed citations
16.
Radhakrishnan, Srinivasan, et al.. (2014). Organizing Patterns and Evolution of Indian Movie Industry. Procedia Computer Science. 36. 655–659. 3 indexed citations
17.
Radhakrishnan, Srinivasan, et al.. (2013). Phase Synchronization based Minimum Spanning Trees for the Analysis and Visualization of Currency Exchange Markets. Procedia Computer Science. 20. 460–465. 3 indexed citations
18.
Radhakrishnan, Srinivasan, et al.. (2013). Analyzing Structural & Temporal Characteristics of Keyword System in Academic Research Articles. Procedia Computer Science. 20. 439–445. 22 indexed citations
19.
Radhakrishnan, Srinivasan, et al.. (2007). Attitude towards coffee drinking by coffee consumers and non-consumers in India.. 71(4). 18–23. 1 indexed citations
20.
Gopi, P G, R Subramani, T Santha, et al.. (2006). Performance of a DOTS programme: Administrative and technical challenges -- a field report from a district of South India.. Indian Journal of Tuberculosis. 53(3). 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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