V. Venkatraman

416 total citations
6 papers, 288 citations indexed

About

V. Venkatraman is a scholar working on Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, V. Venkatraman has authored 6 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Neurology. Recurrent topics in V. Venkatraman's work include Neurological disorders and treatments (1 paper), Muscle activation and electromyography studies (1 paper) and AI in cancer detection (1 paper). V. Venkatraman is often cited by papers focused on Neurological disorders and treatments (1 paper), Muscle activation and electromyography studies (1 paper) and AI in cancer detection (1 paper). V. Venkatraman collaborates with scholars based in India, Jordan and Colombia. V. Venkatraman's co-authors include N. Arunkumar, Enas Abdulhay, K. Narasimhan, V. Elamaran, Mazin Abed Mohammed, Dheyaa Ahmed Ibrahim, Laura Fuentes Moraleda, Ana Isabel Muñoz Mazón and Senthil Kumar Jagatheesaperumal and has published in prestigious journals such as IEEE Access, Future Generation Computer Systems and Journal of Medical Systems.

In The Last Decade

V. Venkatraman

6 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Venkatraman India	5	106	76	61	53	39	6	288
Çağatay Berke Erdaş Türkiye	10	88 0.8×	118 1.6×	102 1.7×	35 0.7×	58 1.5×	31	331
Ahmed Al-Jawad United Kingdom	10	131 1.2×	73 1.0×	59 1.0×	18 0.3×	19 0.5×	18	365
Rachneet Kaur United States	8	70 0.7×	48 0.6×	25 0.4×	24 0.5×	17 0.4×	21	209
Sang-Hong Lee South Korea	10	63 0.6×	93 1.2×	34 0.6×	26 0.5×	91 2.3×	60	499
Luigi Borzì Italy	13	245 2.3×	206 2.7×	27 0.4×	105 2.0×	31 0.8×	27	469
Luis Sigcha Spain	9	188 1.8×	175 2.3×	31 0.5×	45 0.8×	16 0.4×	24	361
R. Prashanth India	8	290 2.7×	31 0.4×	48 0.8×	180 3.4×	50 1.3×	15	474
Ondřej Ťupa Czechia	9	62 0.6×	193 2.5×	103 1.7×	21 0.4×	37 0.9×	18	358
Stefano Sapienza United States	10	84 0.8×	156 2.1×	26 0.4×	36 0.7×	16 0.4×	26	322

Countries citing papers authored by V. Venkatraman

Since Specialization

Citations

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

Fields of papers citing papers by V. Venkatraman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Venkatraman

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Jagatheesaperumal, Senthil Kumar, et al.. (2024). Deep Learning-Based Interactive Dashboard for Enhancing Online Classroom Experience Through Student Emotion Analysis. IEEE Access. 12. 91140–91153. 2 indexed citations

2.

Abdulhay, Enas, N. Arunkumar, K. Narasimhan, V. Elamaran, & V. Venkatraman. (2018). Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease. Future Generation Computer Systems. 83. 366–373. 180 indexed citations

3.

Moraleda, Laura Fuentes, et al.. (2018). Mapping the structure and evolution of heavy vehicle research: a scientometric analysis and visualisation. International Journal of Heavy Vehicle Systems. 25(3/4). 344–344. 12 indexed citations

4.

Abdulhay, Enas, Mazin Abed Mohammed, Dheyaa Ahmed Ibrahim, N. Arunkumar, & V. Venkatraman. (2018). Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images. Journal of Medical Systems. 42(4). 58–58. 48 indexed citations

5.

Venkatraman, V., et al.. (2018). Mapping the structure and evolution of heavy vehicle research: a scientometric analysis and visualisation. International Journal of Heavy Vehicle Systems. 25(3/4). 344–344. 15 indexed citations

6.

Arunkumar, N., et al.. (2015). Wireless mobile robot control through human machine interface using brain signals. 596–603. 31 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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