Vinodhini Mani

661 citations
12 papers · 343 indexed · 1 hit paper · h-index 7
Topics
Blockchain Technology Applications and Security (4 papers)IoT and Edge/Fog Computing (2 papers)Neural Networks and Applications (2 papers)
Partner nations
IndiaIraqTaiwan

In The Last Decade

Vinodhini Mani

11 papers receiving 316 citations

Hit Papers

Early-Stage Alzheimer's Disease Prediction Using Machine ...2022202620232024202250100150

Peers

Vinodhini Mani
Comparison fields: 5 of 77
  • Artificial Intelligence 116
  • Information Systems 112
  • Neurology 88
  • Health Information Management 73
  • Computer Networks and Communications 69
Replace Muhammad Nadeem Majeed with:
Muhammad Nadeem Majeed Pakistan
Shaymaa E. Sorour Egypt
Ahmed M. Alwakeel Saudi Arabia
Erlin Yao China
Hager Saleh Egypt
Mohemmed Sha Saudi Arabia
Aasia Khanum Pakistan
A.K.M. Muzahidul Islam Bangladesh
Abdulrahman K. Alnaim Saudi Arabia
Vinodhini Mani relative to Muhammad Nadeem Majeed Pakistan Muhammad Nadeem Majeed's profile →
Citations per field
00.5×2.8×
Muhammad Nadeem Majeed · 1×
Citations per year

Countries citing papers authored by Vinodhini Mani

Since Specialization
Citations

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

Fields of papers citing papers by Vinodhini Mani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinodhini Mani

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 11
2 6
3 16
4 1
5 22
6 6
7
Early-Stage Alzheimer's Disease Prediction Using Machine Learning Modelsbreakdown →
170
8 21
9 82
10
Use of CD ROMs and Internet in Engineering Colleges in Cuddalore District: A Study
1
11 2
12 5

About Vinodhini Mani

Vinodhini Mani is a scholar working on Information Systems, Computer Networks and Communications and Health Information Management, having authored 12 papers that have together received 343 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (4 papers), IoT and Edge/Fog Computing (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Health Information Management (73 citations), Neurology (88 citations) and Health Informatics (13 citations). Vinodhini Mani has collaborated with scholars based in India, Iraq and Taiwan. Frequent co-authors include Osamah Ibrahim Khalaf, C. Kavitha, S. Srividhya, Carlos Andrés Tavera Romero, Saleh Alghamdi, Youseef Alotaibi, Wen‐Cheng Lai, M. Prakash, Moolchand Sharma and Senthilkumar Mohan. Their work appears in journals such as Frontiers in Public Health, Electronics and Computers & Electrical Engineering.

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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