P Suresh

412 total citations
21 papers, 245 citations indexed

About

P Suresh is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, P Suresh has authored 21 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in P Suresh's work include Artificial Intelligence in Healthcare (3 papers), IoT and Edge/Fog Computing (3 papers) and Anomaly Detection Techniques and Applications (3 papers). P Suresh is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), IoT and Edge/Fog Computing (3 papers) and Anomaly Detection Techniques and Applications (3 papers). P Suresh collaborates with scholars based in India, Peru and Hungary. P Suresh's co-authors include V. Parthasarathy, Joshua Daniel, Subramanian Senthilkumaran, Ponniah Thirumalaikolundusubramanian, Rashid A. Saeed, Romany F. Mansour, S. Abdel‐Khalek, Hesham Alhumyani, Mohamed Yacin Sikkandar and Madhushi Verma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energies and Retina.

In The Last Decade

P Suresh

18 papers receiving 225 citations

Peers

P Suresh
R Santhakumar India
Maman Abdurohman Indonesia
S. Hemalatha India
A. Velmurugan India
Ioana Marcu Romania
R. Sabitha India
K. Sudharson India
Mudita Uppal India
Sehrish Munawar Cheema Pakistan
Marie Kim South Korea
R Santhakumar India
P Suresh
Citations per year, relative to P Suresh P Suresh (= 1×) peers R Santhakumar

Countries citing papers authored by P Suresh

Since Specialization
Citations

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

Fields of papers citing papers by P Suresh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P Suresh

This figure shows the co-authorship network connecting the top 25 collaborators of P Suresh. A scholar is included among the top collaborators of P Suresh 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 P Suresh. P Suresh 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
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Suresh, P, et al.. (2024). Efficient IoT -Machine Learning Based Smart Irrigation Using Support Tree Algae Algorithm. IETE Journal of Research. 70(8). 6775–6790. 5 indexed citations
5.
Naik, Nithesh, et al.. (2023). A Review on Composite Materials for Energy Harvesting in Electric Vehicles. Energies. 16(8). 3348–3348. 13 indexed citations
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Suresh, P, et al.. (2022). AGRIMART: An E-Platform for Agro Products with Voice based Chat Bot. 4. 1–5. 3 indexed citations
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Anuradha, M., et al.. (2022). Intrusion Detection System for Big Data Analytics in IoT Environment. Computer Systems Science and Engineering. 43(1). 381–396. 3 indexed citations
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Verma, Madhushi, et al.. (2021). Human Activity Recognition in Untrimmed Video using Deep Learning for Sports Domain. SSRN Electronic Journal. 6 indexed citations
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Suresh, P, et al.. (2021). Optimal Deep Dense Convolutional Neural Network Based Classification Model for COVID-19 Disease. Computers, materials & continua/Computers, materials & continua (Print). 70(1). 2031–2047. 2 indexed citations
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Suresh, P, et al.. (2021). Optimal Confidential Mechanisms in Smart City Healthcare. Computers, materials & continua/Computers, materials & continua (Print). 70(3). 4883–4896. 15 indexed citations
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Suresh, P, et al.. (2020). Deep Learning Applications and Perspectives COVID 19. 487–490. 1 indexed citations
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Senthilkumaran, Subramanian, et al.. (2012). Priapism, pomegranate juice, and sildenafil: Is there a connection?. Urology Annals. 4(2). 108–108. 5 indexed citations
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Senthilkumaran, Subramanian, et al.. (2012). Cerebral fat embolism in a non–head-injured trauma victim: A diagnostic dilemma. Journal of Neurosciences in Rural Practice. 3(2). 227–228. 1 indexed citations
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Senthilkumaran, Subramanian, et al.. (2011). Acute ST-segment elevation myocardial infarction from a centipede bite. Journal of Cardiovascular Disease Research. 2(4). 244–246. 6 indexed citations
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Senthilkumaran, Subramanian, et al.. (2011). Live Fish Impaction in Hypopharynx in an Elderly Patient. SHILAP Revista de lepidopterología. 5(4). 225–226. 3 indexed citations
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Senthilkumaran, Subramanian, et al.. (2011). Transient anisocoria: A pesky palpitation. Journal of Neurosciences in Rural Practice. 2(2). 210–211. 2 indexed citations
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Senthilkumaran, Subramanian, et al.. (2010). Painful ejaculation. Something fishy.. PubMed. 31(4). 451–2. 4 indexed citations
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Senthilkumaran, Subramanian, et al.. (2010). Purple glove syndrome: A looming threat. Journal of Neurosciences in Rural Practice. 1(2). 121–122. 3 indexed citations
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Suresh, P, et al.. (1999). BILATERAL MACULAR INFARCTION DUE TO DIAMINODIPHENYL SULFONE (4.4′ DDS) TOXICITY. Retina. 19(1). 83–83. 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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