Sudha Subramani

28 total papers · 517 total citations
15 papers, 257 citations indexed

About

Sudha Subramani is a scholar working on Artificial Intelligence, Information Systems and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sudha Subramani has authored 15 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Sudha Subramani's work include Cybercrime and Law Enforcement Studies (4 papers), ECG Monitoring and Analysis (3 papers) and Hate Speech and Cyberbullying Detection (2 papers). Sudha Subramani is often cited by papers focused on Cybercrime and Law Enforcement Studies (4 papers), ECG Monitoring and Analysis (3 papers) and Hate Speech and Cyberbullying Detection (2 papers). Sudha Subramani collaborates with scholars based in Australia, China and Switzerland. Sudha Subramani's co-authors include Hua Wang, Jiahua Du, Yanchun Zhang, Gang Li, Yilin Wang, Khandakar Ahmed, Le Sun, Dandan Peng, Xuyang Wang and Yuan Miao and has published in prestigious journals such as IEEE Access, Applied Sciences and BMC Medical Informatics and Decision Making.

In The Last Decade

Sudha Subramani

14 papers receiving 249 citations

Author Peers

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

Author						Papers	Cites
Sudha Subramani	135	71	56	36	28	15	257
Diane Dolezel	63 0.5×	96 1.4×	40 0.7×	15 0.4×	38 1.4×	28	303
Jiahua Du	119 0.9×	63 0.9×	91 1.6×	22 0.6×	10 0.4×	13	222
Surina He	86 0.6×	26 0.4×	31 0.6×	11 0.3×	20 0.7×	12	254
Hui Yin	139 1.0×	45 0.6×	52 0.9×	67 1.9×	19 0.7×	19	255
Md Musfique Anwar	84 0.6×	50 0.7×	37 0.7×	9 0.3×	21 0.8×	32	193
Shuo Yu	62 0.5×	59 0.8×	28 0.5×	38 1.1×	68 2.4×	21	308
Minje Choi	164 1.2×	39 0.5×	20 0.4×	46 1.3×	8 0.3×	12	320
Leonardo Horn Iwaya	64 0.5×	99 1.4×	87 1.6×	21 0.6×	60 2.1×	25	304
Nir Ofek	238 1.8×	44 0.6×	32 0.6×	6 0.2×	6 0.2×	15	306
Baojun Qiu	182 1.3×	70 1.0×	47 0.8×	13 0.4×	20 0.7×	10	324

Countries citing papers authored by Sudha Subramani

Since Specialization

Citations

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

Fields of papers citing papers by Sudha Subramani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudha Subramani

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