G. Suganya

68 total papers · 445 total citations
28 papers, 237 citations indexed

About

G. Suganya is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, G. Suganya has authored 28 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 9 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in G. Suganya's work include IoT and Edge/Fog Computing (3 papers), Software Engineering Techniques and Practices (3 papers) and Artificial Intelligence in Healthcare (3 papers). G. Suganya is often cited by papers focused on IoT and Edge/Fog Computing (3 papers), Software Engineering Techniques and Practices (3 papers) and Artificial Intelligence in Healthcare (3 papers). G. Suganya collaborates with scholars based in India, United States and Oman. G. Suganya's co-authors include Vijay H. Mankar, Pratheepan Yogarajah, R Porkodi, Christina Vestergaard, Seifedine Kadry, V. Viswanathan, N. Selvakumar, Sargur N. Srihari, M. Feroskhan and S. Geetha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Today Proceedings and Technology in Cancer Research & Treatment.

In The Last Decade

G. Suganya

27 papers receiving 203 citations

Author Peers

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

Author						Papers	Cites
G. Suganya	94	67	45	43	35	28	237
Meenakshi Meenakshi	116 1.2×	27 0.4×	39 0.9×	19 0.4×	23 0.7×	27	219
R. J. Ramteke	64 0.7×	105 1.6×	18 0.4×	33 0.8×	54 1.5×	28	306
Yogesh Kumar	96 1.0×	74 1.1×	37 0.8×	12 0.3×	19 0.5×	37	268
Diego Gachet Páez	68 0.7×	56 0.8×	37 0.8×	23 0.5×	19 0.5×	39	250
Bharat Bhushan Sagar	52 0.6×	24 0.4×	50 1.1×	19 0.4×	17 0.5×	36	218
Anurag Sharma	146 1.6×	35 0.5×	40 0.9×	21 0.5×	13 0.4×	35	303
S. Prabu	77 0.8×	56 0.8×	67 1.5×	14 0.3×	15 0.4×	25	318
Abhinav Juneja	61 0.6×	34 0.5×	34 0.8×	26 0.6×	6 0.2×	23	222
M. Ramkumar	61 0.6×	126 1.9×	46 1.0×	16 0.4×	10 0.3×	37	293
M. Ilayaraja	120 1.3×	50 0.7×	81 1.8×	75 1.7×	6 0.2×	33	330

Countries citing papers authored by G. Suganya

Since Specialization

Citations

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

Fields of papers citing papers by G. Suganya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Suganya

This figure shows the co-authorship network connecting the top 25 collaborators of G. Suganya. A scholar is included among the top collaborators of G. Suganya 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 G. Suganya. G. Suganya 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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