P. Pabitha

690 total citations
38 papers, 395 citations indexed

About

P. Pabitha is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, P. Pabitha has authored 38 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Computer Networks and Communications and 16 papers in Information Systems. Recurrent topics in P. Pabitha's work include IoT and Edge/Fog Computing (7 papers), Cloud Computing and Resource Management (7 papers) and Advanced Authentication Protocols Security (4 papers). P. Pabitha is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), Cloud Computing and Resource Management (7 papers) and Advanced Authentication Protocols Security (4 papers). P. Pabitha collaborates with scholars based in India. P. Pabitha's co-authors include RVS Praveen, V. Arumugam, S. Srinivasan, S. T. Suganthi, Mohamed Mohana, C. Gunavathi, M. Prakash, R. Ramakrishnan, V. Vinoth Kumar and M. Rajaram and has published in prestigious journals such as Pattern Recognition, Knowledge-Based Systems and The Computer Journal.

In The Last Decade

P. Pabitha

32 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Pabitha India 12 149 145 116 58 39 38 395
He Feng China 8 149 1.0× 43 0.3× 67 0.6× 69 1.2× 23 0.6× 20 396
Bartłomiej Śnieżyński Poland 12 122 0.8× 175 1.2× 128 1.1× 33 0.6× 14 0.4× 53 374
Shibli Nisar Pakistan 10 67 0.4× 117 0.8× 136 1.2× 45 0.8× 5 0.1× 29 385
Shih‐Hsiung Lee Taiwan 12 57 0.4× 60 0.4× 49 0.4× 68 1.2× 11 0.3× 51 352
Xingxing Xiong China 6 87 0.6× 132 0.9× 182 1.6× 55 0.9× 6 0.2× 9 371
Shah Ahsanul Haque Bangladesh 7 41 0.3× 152 1.0× 74 0.6× 60 1.0× 4 0.1× 10 336
Grzegorz Nowakowski Poland 9 49 0.3× 74 0.5× 41 0.4× 17 0.3× 8 0.2× 36 255
Ted Tsung-Te Lai Taiwan 6 87 0.6× 138 1.0× 46 0.4× 115 2.0× 4 0.1× 6 373
Ron van Schyndel Australia 11 83 0.6× 45 0.3× 60 0.5× 185 3.2× 4 0.1× 36 372
Fu Jiang China 8 51 0.3× 215 1.5× 130 1.1× 20 0.3× 5 0.1× 27 363

Countries citing papers authored by P. Pabitha

Since Specialization
Citations

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

Fields of papers citing papers by P. Pabitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Pabitha

This figure shows the co-authorship network connecting the top 25 collaborators of P. Pabitha. A scholar is included among the top collaborators of P. Pabitha 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. Pabitha. P. Pabitha 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
2.
Kumar, V. Vinoth & P. Pabitha. (2024). Privacy-Preserving Brakerski-Gentry-Vaikuntanathan (BGV) Homomorphic Encryption for IoMT Data Security. 1–6. 2 indexed citations
3.
Pabitha, P., et al.. (2024). An efficient approach to escalate the speed of training convolution neural networks. China Communications. 21(2). 258–269. 3 indexed citations
6.
Pabitha, P., et al.. (2024). ResPrune: An energy-efficient restorative filter pruning method using stochastic optimization for accelerating CNN. Pattern Recognition. 155. 110671–110671. 13 indexed citations
7.
Pabitha, P., et al.. (2023). ModChain: a hybridized secure and scaling blockchain framework for IoT environment. International Journal of Information Technology. 15(3). 1741–1754. 36 indexed citations
8.
Pabitha, P., et al.. (2023). A chameleon and remora search optimization algorithm for handling task scheduling uncertainty problem in cloud computing. Sustainable Computing Informatics and Systems. 41. 100944–100944. 16 indexed citations
9.
Praveen, RVS & P. Pabitha. (2023). ASK-RAM-IMOT: Autonomous Shared Keys based Remote Authentication Method for Internet of Medical Things Applications. Wireless Personal Communications. 131(1). 273–293. 31 indexed citations
10.
11.
Pabitha, P., et al.. (2023). A Comparative Study of Deep Learning Models for ECG Signal-based User Classification. 1–8. 15 indexed citations
12.
Praveen, RVS & P. Pabitha. (2023). Improved Gentry–Halevi's fully homomorphic encryption‐based lightweight privacy preserving scheme for securing medical Internet of Things. Transactions on Emerging Telecommunications Technologies. 34(4). 39 indexed citations
13.
Pabitha, P., et al.. (2022). C-DRM: Coalesced P-TOPSIS Entropy Technique addressing Uncertainty in Cloud Service Selection. Information Technology And Control. 51(3). 592–605. 11 indexed citations
15.
17.
Prakash, M., et al.. (2019). A Novel Algorithm for Top- k Community Detection In Dynamic Social Networks. 2019 Innovations in Power and Advanced Computing Technologies (i-PACT). 1–7.
18.
Pabitha, P., et al.. (2019). Optimal provisioning and scheduling of analytics as a service in cloud computing. Transactions on Emerging Telecommunications Technologies. 30(9). 8 indexed citations
19.
Pabitha, P., et al.. (2018). Optimization of acoustic emission parameters to discriminate failure modes in glass–epoxy composite laminates using pattern recognition. Structural Health Monitoring. 18(4). 1253–1267. 48 indexed citations
20.
Pabitha, P., et al.. (2012). An ontology model for mapping the user request to select web services. 8. 492–496. 1 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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