M. Deivakani

35 total papers · 509 total citations
24 papers, 207 citations indexed

About

M. Deivakani is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, M. Deivakani has authored 24 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in M. Deivakani's work include AI in cancer detection (4 papers), Network Security and Intrusion Detection (4 papers) and IoT Networks and Protocols (3 papers). M. Deivakani is often cited by papers focused on AI in cancer detection (4 papers), Network Security and Intrusion Detection (4 papers) and IoT Networks and Protocols (3 papers). M. Deivakani collaborates with scholars based in India, Ethiopia and Saudi Arabia. M. Deivakani's co-authors include Chandran Venkatesan, Alagar Karthick, S. Manoharan, M. G. Sumithra, Umashankar Subramaniam, Chandra Kumar Dixit, Abdul Razak Kaladgi, Maughal Ahmed Ali Baig, Asif Afzal and Neelam Sanjeev Kumar and has published in prestigious journals such as BioMed Research International, Advances in experimental medicine and biology and Transactions on Emerging Telecommunications Technologies.

In The Last Decade

M. Deivakani

18 papers receiving 188 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. Deivakani	122	60	52	36	21	24	207
R Bharath	67 0.5×	53 0.9×	78 1.5×	34 0.9×	26 1.2×	35	277
Kelwin Fernandes	168 1.4×	52 0.9×	33 0.6×	12 0.3×	8 0.4×	18	269
Talha Anwar	88 0.7×	16 0.3×	88 1.7×	70 1.9×	16 0.8×	26	276
G. Karuna	87 0.7×	30 0.5×	18 0.3×	14 0.4×	31 1.5×	28	199
Sohaib Asif	82 0.7×	26 0.4×	70 1.3×	24 0.7×	4 0.2×	16	219
Sameh Abd El-Ghany	76 0.6×	18 0.3×	75 1.4×	18 0.5×	3 0.1×	29	225
Chaitanya Kaul	79 0.6×	14 0.2×	49 0.9×	26 0.7×	6 0.3×	25	214
Kapil Kumar Nagwanshi	111 0.9×	8 0.1×	69 1.3×	18 0.5×	29 1.4×	35	249
Yao Xiang	99 0.8×	46 0.8×	37 0.7×	20 0.6×	11 0.5×	31	245
Shuli Cheng	64 0.5×	17 0.3×	32 0.6×	18 0.5×	10 0.5×	33	268

Countries citing papers authored by M. Deivakani

Since Specialization

Citations

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

Fields of papers citing papers by M. Deivakani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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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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