M. Sasikala

70 total papers · 760 total citations
40 papers, 513 citations indexed

About

M. Sasikala is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, M. Sasikala has authored 40 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Biomedical Engineering. Recurrent topics in M. Sasikala's work include EEG and Brain-Computer Interfaces (8 papers), Medical Image Segmentation Techniques (5 papers) and Infrared Thermography in Medicine (5 papers). M. Sasikala is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Medical Image Segmentation Techniques (5 papers) and Infrared Thermography in Medicine (5 papers). M. Sasikala collaborates with scholars based in India and Iraq. M. Sasikala's co-authors include N. Kumaravel, Harleen Chhabra, Ganesan Venkatasubramanian, S. Prabha, Santhosh Satheesh, S. Shenbaga Devi, Raja J. Selvaraj, S. Ravikumar, Ashwin Rammohan and Maged Hassan and has published in prestigious journals such as World Journal of Surgery, The Journal of Membrane Biology and Neural Computing and Applications.

In The Last Decade

M. Sasikala

36 papers receiving 483 citations

Author Peers

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

Author						Papers	Cites
M. Sasikala	259	126	105	103	95	40	513
Jean‐Marc Girault	138 0.5×	86 0.7×	57 0.5×	162 1.6×	47 0.5×	66	594
Ajat Shatru Arora	117 0.5×	59 0.5×	112 1.1×	183 1.8×	40 0.4×	62	478
Yuh‐Show Tsai	70 0.3×	46 0.4×	35 0.3×	51 0.5×	61 0.6×	42	612
Robert Splinter	197 0.8×	34 0.3×	54 0.5×	208 2.0×	45 0.5×	38	571
Filip Malmberg	128 0.5×	17 0.1×	61 0.6×	42 0.4×	50 0.5×	45	606
Edgar Guevara	203 0.8×	74 0.6×	71 0.7×	164 1.6×	64 0.7×	48	550
Bahador Makkiabadi	140 0.5×	78 0.6×	190 1.8×	174 1.7×	9 0.1×	71	537
Martin Christian Hemmsen	245 0.9×	128 1.0×	226 2.2×	230 2.2×	73 0.8×	51	574
Wenxiang Ding	54 0.2×	37 0.3×	48 0.5×	89 0.9×	14 0.1×	34	476
Chunlan Yang	250 1.0×	28 0.2×	177 1.7×	121 1.2×	36 0.4×	37	519

Countries citing papers authored by M. Sasikala

Since Specialization

Citations

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

Fields of papers citing papers by M. Sasikala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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