Vijay Victor

515 citations
28 papers · 327 indexed · h-index 10
Topics
Digital Marketing and Social Media (5 papers)Consumer Behavior in Brand Consumption and Identification (4 papers)Technology Adoption and User Behaviour (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEFoods
Partner nations
IndiaMalaysiaHungary

In The Last Decade

Vijay Victor

24 papers receiving 314 citations

Peers

Vijay Victor
Comparison fields: 5 of 86
  • Marketing 122
  • Sociology and Political Science 105
  • Economics and Econometrics 70
  • Information Systems and Management 51
  • Organizational Behavior and Human Resource Management 33
Replace Shengyu Gu with:
Shengyu Gu China
Jorge Guadalupe-Lanas Ecuador
Lenka Komárková Czechia
Rae Yule Kim United States
Alicia Orea-Giner Spain
Tim Riedler Germany
Stefanie Beninger Canada
Carlos Sanchís-Pedregosa Spain
Eloy Gil‐Cordero Spain
Dirk Temme Germany
Vijay Victor relative to Shengyu Gu China Shengyu Gu's profile →
Citations per field
00.5×10×15×18.7×
Shengyu Gu · 1×
Citations per year

Countries citing papers authored by Vijay Victor

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Victor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Victor

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Victor. A scholar is included among the top collaborators of Vijay Victor 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 Vijay Victor. Vijay Victor 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 0
2 7
3 15
4 16
5 11
6 9
7 31
8 22
9 6
10 0
11 3
12 3
13 2
14 46
15 3
16 3
17 2
18
Inflation unemployment dynamics in Hungary – A structured cointegration and vector error correction model approach
2
19 80
20
Qualitative Phytochemical Screening and In Vitro Antimicrobial Activities of Solanum americanum mill.
8

About Vijay Victor

Vijay Victor is a scholar working on Marketing, Information Systems and Management and General Economics, Econometrics and Finance, having authored 28 papers that have together received 327 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (5 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Technology Adoption and User Behaviour (4 papers). The work is most often cited by research in Marketing (122 citations), Information Systems and Management (51 citations) and Drug Discovery (1 citation). Vijay Victor has collaborated with scholars based in India, Malaysia and Hungary. Frequent co-authors include Robert Jeyakumar Nathan, Mária Fekete‐Farkas, Daniel Meyer, Janusz Grabara, Chin Lay Gan, Sebastian Kot, Judit Oláh, József Popp, Hadiza Abdullahi Usman and Farheen Naz. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Foods.

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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