N. Mangathayaru

616 total citations
28 papers, 328 citations indexed

About

N. Mangathayaru is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, N. Mangathayaru has authored 28 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 11 papers in Information Systems. Recurrent topics in N. Mangathayaru's work include Network Security and Intrusion Detection (12 papers), Advanced Malware Detection Techniques (10 papers) and Text and Document Classification Technologies (6 papers). N. Mangathayaru is often cited by papers focused on Network Security and Intrusion Detection (12 papers), Advanced Malware Detection Techniques (10 papers) and Text and Document Classification Technologies (6 papers). N. Mangathayaru collaborates with scholars based in India, Jordan and Nepal. N. Mangathayaru's co-authors include G. Kumar, G. Narsimha, G. Narasimha, Aravind Cheruvu, Shadi Aljawarneh, Padmaja Kumari Rani, V. Janaki, M. Sreenivasa Rao and V. Janaki and has published in prestigious journals such as Future Generation Computer Systems, Computers, materials & continua/Computers, materials & continua (Print) and JUCS - Journal of Universal Computer Science.

In The Last Decade

N. Mangathayaru

27 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. Mangathayaru India	11	220	163	129	106	53	28	328
Michael W. Dusenberry United States	6	191 0.9×	62 0.4×	26 0.2×	47 0.4×	45 0.8×	7	289
Pooja Yadav India	7	67 0.3×	106 0.7×	120 0.9×	66 0.6×	60 1.1×	14	274
K. Venkatalakshmi India	11	126 0.6×	135 0.8×	55 0.4×	47 0.4×	36 0.7×	34	328
C. Nalini India	7	104 0.5×	84 0.5×	20 0.2×	60 0.6×	47 0.9×	39	292
B. Muthukumar India	7	131 0.6×	132 0.8×	73 0.6×	56 0.5×	21 0.4×	27	249
Junsong Fu China	9	134 0.6×	163 1.0×	47 0.4×	136 1.3×	28 0.5×	51	314
J. Hemalatha India	6	112 0.5×	129 0.8×	143 1.1×	49 0.5×	116 2.2×	19	302
Farhad Mardukhi Iran	9	101 0.5×	108 0.7×	44 0.3×	143 1.3×	40 0.8×	22	273
Mohammed Mujib Alshahrani Saudi Arabia	11	98 0.4×	221 1.4×	104 0.8×	159 1.5×	25 0.5×	24	356
Sudarson Jena India	7	139 0.6×	40 0.2×	17 0.1×	62 0.6×	48 0.9×	38	246

Countries citing papers authored by N. Mangathayaru

Since Specialization

Citations

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

Fields of papers citing papers by N. Mangathayaru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Mangathayaru

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

All Works

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20 of 20 papers shown

Mangathayaru, N., et al.. (2021). An Attention Based Neural Architecture for Arrhythmia Detection and Classification from ECG Signals. Computers, materials & continua/Computers, materials & continua (Print). 69(2). 2425–2443. 5 indexed citations

Mangathayaru, N., et al.. (2020). A new text categorisation strategy: prototype design and experimental analysis. International Journal of Knowledge and Learning. 13(2). 146–146. 1 indexed citations

Mangathayaru, N., et al.. (2020). Incremental learning for text categorization using rough set boundary based optimized Support Vector Neural Network. Data Technologies and Applications. 54(5). 585–601. 3 indexed citations

Kumar, G., G. Narsimha, & N. Mangathayaru. (2019). An Evolutionary Feature Clustering Approach for Anomaly Detection Using Improved Fuzzy Membership Function. International Journal of Information Technology and Web Engineering. 14(4). 19–49. 5 indexed citations

Kumar, G., N. Mangathayaru, G. Narsimha, & Aravind Cheruvu. (2018). Feature Clustering for Anomaly Detection Using Improved Fuzzy Membership Function. 1–9. 22 indexed citations

Kumar, G., et al.. (2017). CLAPP: A self constructing feature clustering approach for anomaly detection. Future Generation Computer Systems. 74. 417–429. 63 indexed citations

Mangathayaru, N., et al.. (2017). Evolution and prediction of radical multi-dimensional e-learning system with cluster based data mining techniques. 34. 701–707. 4 indexed citations

Kumar, G., et al.. (2017). Evolutionary approach for intrusion detection. 1–6. 11 indexed citations

Mangathayaru, N., et al.. (2016). Text Mining: State-of-the-Art and Research Directions. 8(6). 181–187.

10.

Mangathayaru, N., et al.. (2016). Survey of Text Mining Techniques, Challenges and their Applications. International Journal of Computer Applications. 146(11). 30–35. 12 indexed citations

11.

Mangathayaru, N., G. Kumar, & G. Narsimha. (2016). Text mining based approach for intrusion detection. 1–5. 15 indexed citations

12.

Mangathayaru, N., et al.. (2016). Privacy preserving and data security — A survey. 39. 1–6. 2 indexed citations

13.

Kumar, G., N. Mangathayaru, & G. Narsimha. (2016). An approach for intrusion detection using fuzzy feature clustering. 1–8. 17 indexed citations

14.

Mangathayaru, N., et al.. (2016). Dependency Parser for Telugu Language. 1–5. 3 indexed citations

15.

Kumar, G., N. Mangathayaru, & G. Narsimha. (2016). Design of novel fuzzy distribution function for dimensionality reduction and intrusion detection. 1–6. 21 indexed citations

16.

Mangathayaru, N., et al.. (2016). A survey on routing techniques for transmission of packets in networks. 1–6. 7 indexed citations

17.

Mangathayaru, N., et al.. (2016). Rough set based feature selection approach for text mining. 146. 40–45. 4 indexed citations

18.

Kumar, G., N. Mangathayaru, & G. Narasimha. (2015). An improved k-Means Clustering algorithm for Intrusion Detection using Gaussian function. 1–7. 50 indexed citations

19.

Kumar, G., N. Mangathayaru, & G. Narasimha. (2015). An approach for Intrusion Detection using Text Mining Techniques. 1–6. 26 indexed citations

20.

Mangathayaru, N., et al.. (2015). Exploring Research Issues in Mining Medical Datasets. 1–8. 2 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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