Shrawan Kumar Trivedi

978 citations
41 papers · 679 indexed · h-index 15
Topics
Spam and Phishing Detection (15 papers)Digital Marketing and Social Media (12 papers)Technology Adoption and User Behaviour (11 papers)
Partner nations
IndiaFranceUnited States

In The Last Decade

Shrawan Kumar Trivedi

39 papers receiving 640 citations

Peers

Shrawan Kumar Trivedi
Comparison fields: 5 of 92
  • Artificial Intelligence 250
  • Marketing 198
  • Sociology and Political Science 184
  • Information Systems 176
  • Information Systems and Management 158
Replace Mansour Naser Alraja with:
Mansour Naser Alraja Oman
Wassan Abdullah Alkhowaiter Saudi Arabia
Victoria Yoon United States
Erick Fernando Indonesia
Elroy Eugene Smith South Africa
Wilfried Lemahieu Belgium
Saravanan Muthaiyah Malaysia
Eimad Abusham Oman
Dwiza Riana Indonesia
Abdullah S. Al‐Mudimigh Saudi Arabia
Shrawan Kumar Trivedi relative to Mansour Naser Alraja Oman Mansour Naser Alraja's profile →
Citations per field
00.5×
Mansour Naser Alraja · 1×
Citations per year

Countries citing papers authored by Shrawan Kumar Trivedi

Since Specialization
Citations

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

Fields of papers citing papers by Shrawan Kumar Trivedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shrawan Kumar Trivedi. 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 Shrawan Kumar Trivedi. The network helps show where Shrawan Kumar Trivedi may publish in the future.

Co-authorship network of co-authors of Shrawan Kumar Trivedi

This figure shows the co-authorship network connecting the top 25 collaborators of Shrawan Kumar Trivedi. A scholar is included among the top collaborators of Shrawan Kumar Trivedi 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 Shrawan Kumar Trivedi. Shrawan Kumar Trivedi 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 14
3 4
4 1
5 1
6 2
7 4
8 4
9 16
10 5
11 23
12 142
13 80
14 1
15 5
16 4
17 14
18 5
19 6
20 18

About Shrawan Kumar Trivedi

Shrawan Kumar Trivedi is a scholar working on Information Systems and Management, Information Systems and Artificial Intelligence, having authored 41 papers that have together received 679 indexed citations. Recurring topics across this work include Spam and Phishing Detection (15 papers), Digital Marketing and Social Media (12 papers) and Technology Adoption and User Behaviour (11 papers). The work is most often cited by research in Information Systems and Management (158 citations), Marketing (198 citations) and Health Information Management (60 citations). Shrawan Kumar Trivedi has collaborated with scholars based in India, France and United States. Frequent co-authors include Mohit Yadav, Shubhamoy Dey, Ankita Tripathi, Praveen Ranjan Srivastava, Prabin Kumar Panigrahi, Tapas Goswami, Ravi Datta Sharma, Sanjay Kumar Kar, Ajay Kumar and Anil Kumar. Their work appears in journals such as IEEE Transactions on Engineering Management, Heliyon and Technology in Society.

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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