M. Parimala

1.8k total citations · 4 hit papers
18 papers, 1.2k citations indexed

About

M. Parimala is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, M. Parimala has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Statistical and Nonlinear Physics and 4 papers in Computer Networks and Communications. Recurrent topics in M. Parimala's work include Complex Network Analysis Techniques (5 papers), Human Mobility and Location-Based Analysis (3 papers) and Advanced Clustering Algorithms Research (3 papers). M. Parimala is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Human Mobility and Location-Based Analysis (3 papers) and Advanced Clustering Algorithms Research (3 papers). M. Parimala collaborates with scholars based in India, Australia and Canada. M. Parimala's co-authors include Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Mamoun Alazab, Chiranji Lal Chowdhary, Srinivas Koppu, Quoc‐Viet Pham, Swarna Priya Ramu, Saqib Hakak, Sharnil Pandya and Thien Huynh‐The and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, Computer Networks and Computer Communications.

In The Last Decade

M. Parimala

18 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

2020 328 citations Praveen Kumar Reddy Maddikunta, M. Parimala et al. Computer Communications profile →
Federated Learning for Cybersecurity: Concepts, Challenges, and Future Directions

2021 189 citations Mamoun Alazab, M. Parimala et al. IEEE Transactions on Industrial Informatics profile →
Fusion of Federated Learning and Industrial Internet of Things: A survey

2022 180 citations M. Parimala, Swarna Priya Ramu et al. Computer Networks profile →
Hand gesture classification using a novel CNN-crow search algorithm

2021 143 citations Thippa Reddy Gadekallu, Mamoun Alazab et al. Complex & Intelligent Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Parimala India	10	587	473	236	189	173	18	1.2k
Hamed Alqahtani Saudi Arabia	15	481 0.8×	487 1.0×	293 1.2×	302 1.6×	163 0.9×	63	1.3k
Jiechao Gao United States	18	410 0.7×	426 0.9×	434 1.8×	157 0.8×	202 1.2×	62	1.4k
Mohd Zakree Ahmad Nazri Malaysia	17	700 1.2×	427 0.9×	199 0.8×	187 1.0×	73 0.4×	87	1.2k
Mubarak Alrashoud Saudi Arabia	19	481 0.8×	380 0.8×	245 1.0×	128 0.7×	195 1.1×	67	1.2k
Wathiq Mansoor United Arab Emirates	22	441 0.8×	296 0.6×	251 1.1×	123 0.7×	262 1.5×	177	1.6k
K. Venkatachalam Czechia	23	713 1.2×	304 0.6×	254 1.1×	141 0.7×	278 1.6×	93	1.8k
Ayman El‐Sayed Egypt	23	303 0.5×	583 1.2×	313 1.3×	173 0.9×	199 1.2×	127	1.5k
Helmi Md Rais Malaysia	11	620 1.1×	237 0.5×	277 1.2×	191 1.0×	95 0.5×	32	1.2k
Qingguo Zhou China	20	517 0.9×	438 0.9×	289 1.2×	255 1.3×	399 2.3×	123	1.5k
Mohammad Dahman Alshehri Saudi Arabia	24	407 0.7×	584 1.2×	432 1.8×	116 0.6×	352 2.0×	56	1.5k

Countries citing papers authored by M. Parimala

Since Specialization

Citations

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

Fields of papers citing papers by M. Parimala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Parimala. A scholar is included among the top collaborators of M. Parimala 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. Parimala. M. Parimala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Hakak, Saqib, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, et al.. (2022). Autonomous vehicles in 5G and beyond: A survey. Vehicular Communications. 39. 100551–100551. 130 indexed citations

Alazab, Mamoun, Latif U. Khan, Srinivas Koppu, et al.. (2022). Digital Twins for Healthcare 4.0—Recent Advances, Architecture, and Open Challenges. IEEE Consumer Electronics Magazine. 12(6). 29–37. 84 indexed citations

Parimala, M., Swarna Priya Ramu, Quoc‐Viet Pham, et al.. (2022). Fusion of Federated Learning and Industrial Internet of Things: A survey. Computer Networks. 212. 109048–109048. 180 indexed citations breakdown →

Alazab, Mamoun, et al.. (2021). Federated Learning for Cybersecurity: Concepts, Challenges, and Future Directions. IEEE Transactions on Industrial Informatics. 18(5). 3501–3509. 189 indexed citations breakdown →

Gadekallu, Thippa Reddy, Mamoun Alazab, Rajesh Kaluri, et al.. (2021). Hand gesture classification using a novel CNN-crow search algorithm. Complex & Intelligent Systems. 7(4). 1855–1868. 143 indexed citations breakdown →

Parimala, M., et al.. (2021). A Hybrid Neural Network Architecture for Early Detection of DDOS attacks using Deep Learning Models. 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC). 323–327. 9 indexed citations

Maddikunta, Praveen Kumar Reddy, M. Parimala, Srinivas Koppu, et al.. (2020). An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture. Computer Communications. 160. 139–149. 328 indexed citations breakdown →

Parimala, M., et al.. (2020). Spatiotemporal‐based sentiment analysis on tweets for risk assessment of event using deep learning approach. Software Practice and Experience. 51(3). 550–570. 51 indexed citations

Gadekallu, Thippa Reddy, M. Parimala, Chiranji Lal Chowdhary, et al.. (2020). A deep neural networks based model for uninterrupted marine environment monitoring. Computer Communications. 157. 64–75. 79 indexed citations

10.

Arora, Naman & M. Parimala. (2019). Financial Analysis: Stock Market Prediction Using Deep Learning Algorithms. SSRN Electronic Journal. 9 indexed citations

11.

Parimala, M.. (2018). Grouping of Nodes in Social Networks Based on Multiphase Approach. Recent Patents on Computer Science. 12(1). 25–33. 1 indexed citations

12.

Parimala, M., et al.. (2017). Medical Professionals and Smartphone Applications. Indian Journal of Surgery. 79(3). 266–267. 1 indexed citations

13.

Parimala, M., et al.. (2017). BIG data based on healthcare analysis using IOT devices. IOP Conference Series Materials Science and Engineering. 263. 42059–42059. 12 indexed citations

14.

Parimala, M., et al.. (2017). Role of automation in waste management and recent trends. International Journal of Environment and Waste Management. 19(3). 268–268. 1 indexed citations

15.

Parimala, M. & Daphne Lopez. (2016). Spatio-Temporal Modelling of Frequent Human Mobility Pattern to Analyse the Dynamics of Epidemic Disease. International journal of intelligent engineering and systems. 9(4). 167–178. 1 indexed citations

16.

Parimala, M. & Daphne Lopez. (2016). Spatio-temporal graph clustering algorithm based on attribute and structural similarity. International Journal of Knowledge-based and Intelligent Engineering Systems. 20(3). 149–160. 2 indexed citations

17.

Parimala, M. & Daphne Lopez. (2015). Graph clustering based on Structural Attribute Neighborhood Similarity (SANS). 1–4. 4 indexed citations

18.

Parimala, M. & Daphne Lopez. (2015). K-Neighbourhood Structural Similarity Approach for Spatial Clustering. Indian Journal of Science and Technology. 8(23). 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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