Vimala Balakrishnan

4.2k citations
129 papers · 2.7k indexed · h-index 28

Vimala Balakrishnan

122 papers receiving 2.5k citations

Peers

Vimala Balakrishnan
Comparison fields: 5 of 157
  • Information Systems and Management 318
  • Communication 259
  • Information Systems 641
  • Computer Science Applications 151
  • Artificial Intelligence 890
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Citations per year

Countries citing papers authored by Vimala Balakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Vimala Balakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Vimala Balakrishnan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vimala Balakrishnan Line = papers co-authored together Vimala Balakrishnan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20249
3 202417
4 20235
5 20232
6 20232
7 20229
8 20228
9 202265
10 202145
11
Predicting Acceptance of Mobile Technology for Aiding Student-Lecturer Interactions: An Empirical Study.
20178
12
IMPROVING THE RELEVANCY OF DOCUMENT SEARCH USING THE MULTI-TERM ADJACENCY KEYWORD-ORDER MODEL
201215
13
A one-mode-for-all predictor for text messaging
20117
14
A Model for Determining The Degree of Contradictions in Information
201114
15
A Study on ISO 9001 Quality Management System Certifications - Reasons behind the Failure of ISO Certified Organizations
20116
16
Corporate Social Responsibility : Existing Practices Vs CSR Framework
20117
17
A Look into SMS Usage Patterns among Malaysian Youths
20092
18 200842
19
SMS Usage Satisfaction: Influences of Hand Anthropometry and Gender
20075
20 198128

About Vimala Balakrishnan

Vimala Balakrishnan is a scholar working on Information Systems and Management, Communication and Information Systems, having authored 129 papers that have together received 2.7k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (24 papers), Impact of Technology on Adolescents (18 papers), Spam and Phishing Detection (17 papers), Hate Speech and Cyberbullying Detection (14 papers), Technology Adoption and User Behaviour (13 papers), Advanced Text Analysis Techniques (12 papers), Topic Modeling (10 papers) and Bullying, Victimization, and Aggression (10 papers). The work is most often cited by research in Information Systems and Management (318 citations), Communication (259 citations) and Information Systems (641 citations). Vimala Balakrishnan has collaborated with scholars based in Malaysia, Pakistan and United States. Frequent co-authors include Chin Lay Gan, Hamid R. Arabnia, Liyana Shuib, Azra Shamim, Ram Gopal Raj, Kee Seong Ng, Hajar Abdul Rahim, Omer Rana, Norisma Idris and Andrew Thomas Bimba. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

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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