Shavneet Sharma

2.1k citations
48 papers · 1.5k indexed · h-index 21
Topics
Digital Marketing and Social Media (21 papers)Consumer Behavior in Brand Consumption and Identification (16 papers)Technology Adoption and User Behaviour (14 papers)

In The Last Decade

Shavneet Sharma

47 papers receiving 1.4k citations

Peers

Shavneet Sharma
Comparison fields: 5 of 97
  • Sociology and Political Science 691
  • Marketing 572
  • Information Systems and Management 420
  • Organizational Behavior and Human Resource Management 283
  • Artificial Intelligence 174
Replace Jacques Bulchand‐Gidumal with:
Jacques Bulchand‐Gidumal Spain
Saila Saraniemi Finland
Tareq Rasul Australia
Wagner Júnior Ladeira Brazil
María Fuentes Blasco Spain
Maria Petrescu United States
Francisco Javier Rondán Cataluña Spain
Muhammad Shakaib Akram United Kingdom
Erin Cho United States
Lucio Lamberti Italy
Shavneet Sharma relative to Jacques Bulchand‐Gidumal Spain Jacques Bulchand‐Gidumal's profile →
Citations per field
00.5×
Jacques Bulchand‐Gidumal · 1×
Citations per year

Countries citing papers authored by Shavneet Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Shavneet Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shavneet Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Shavneet Sharma. A scholar is included among the top collaborators of Shavneet Sharma 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 Shavneet Sharma. Shavneet Sharma 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 2
2 4
3 0
4 1
5 4
6 6
7 1
8 7
9 4
10 11
11 4
12 7
13 17
14 16
15 64
16 39
17 9
18 83
19 39
20 90

About Shavneet Sharma

Shavneet Sharma is a scholar working on Marketing, Information Systems and Management and Organizational Behavior and Human Resource Management, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (21 papers), Consumer Behavior in Brand Consumption and Identification (16 papers) and Technology Adoption and User Behaviour (14 papers). The work is most often cited by research in Marketing (572 citations), Information Systems and Management (420 citations) and Organizational Behavior and Human Resource Management (283 citations). Shavneet Sharma has collaborated with scholars based in Fiji, South Africa and United States. Frequent co-authors include Gurmeet Singh, Rashmini Sharma, Neale Slack, Yogesh K. Dwivedi, Amandeep Dhir, Stephen Pratt, Nazrul Islam, Paul Jones, Sascha Kraus and Kyle Maurice Woosnam. Their work appears in journals such as Technological Forecasting and Social Change, International Journal of Information Management and European Journal of Marketing.

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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