T. Sai Vijay

887 citations
50 papers · 620 indexed · h-index 15
Topics
Consumer Retail Behavior Studies (29 papers)Digital Marketing and Social Media (21 papers)Technology Adoption and User Behaviour (20 papers)
Partner nations
IndiaCanada

In The Last Decade

T. Sai Vijay

48 papers receiving 579 citations

Peers

T. Sai Vijay
Comparison fields: 5 of 70
  • Marketing 393
  • Sociology and Political Science 279
  • Information Systems and Management 222
  • Organizational Behavior and Human Resource Management 152
  • Economics and Econometrics 49
Replace Chandan Parsad with:
Chandan Parsad India
Prateek Kalia Czechia
Muhammad Bilal China
Tariq Jalees Pakistan
Lara Stocchi Australia
Subhro Sarkar India
Estelle van Tonder South Africa
Adesegun Oyedele United States
Xiuyuan Gong China
Mauro José de Oliveira Brazil
T. Sai Vijay relative to Chandan Parsad India Chandan Parsad's profile →
Citations per field
00.5×1.5×
Chandan Parsad · 1×
Citations per year

Countries citing papers authored by T. Sai Vijay

Since Specialization
Citations

This map shows the geographic impact of T. Sai Vijay'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 T. Sai Vijay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Sai Vijay more than expected).

Fields of papers citing papers by T. Sai Vijay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Sai Vijay. 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 T. Sai Vijay. The network helps show where T. Sai Vijay may publish in the future.

Co-authorship network of co-authors of T. Sai Vijay

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 1
3 3
4 12
5 1
6 0
7 6
8 71
9 1
10 28
11 24
12 15
13 11
14 6
15 3
16 14
17 18
18 4
19 11
20 12

About T. Sai Vijay

T. Sai Vijay is a scholar working on Marketing, Information Systems and Management and Organizational Behavior and Human Resource Management, having authored 50 papers that have together received 620 indexed citations. Recurring topics across this work include Consumer Retail Behavior Studies (29 papers), Digital Marketing and Social Media (21 papers) and Technology Adoption and User Behaviour (20 papers). The work is most often cited by research in Marketing (393 citations), Information Systems and Management (222 citations) and Organizational Behavior and Human Resource Management (152 citations). T. Sai Vijay has collaborated with scholars based in India and Canada. Frequent co-authors include Sanjeev Prashar, Chandan Parsad, Vinita Sahay, Mukesh Kumar, Nilesh Arora, Shiwangi Singh, Vivek Roy, Pranay Verma, J. C. Shobha and Clement Cabral. Their work appears in journals such as Journal of Retailing and Consumer Services, Journal of the Association for Information Systems and Acta Psychologica.

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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