Vikram Sharma

43 papers receiving 924 citations

Peers

Vikram Sharma
Comparison fields: 5 of 107
  • Management Information Systems 182
  • Marketing 149
  • Strategy and Management 191
  • Artificial Intelligence 362
  • Signal Processing 120
Replace Sheng-Hsun Hsu with:
Sheng-Hsun Hsu Taiwan
Yanlin Wang China
Rao Faizan Ali Malaysia
Tingting Li China
Deokyoon Ko South Korea
Dan Zhu United States
Vinay Singh India
Karim Zkik Morocco
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Xiaoming Li China
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Citations per field
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Citations per year

Countries citing papers authored by Vikram Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vikram Sharma, 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 Vikram Sharma Line = papers co-authored together Vikram Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Peer-to-peer botnets: overview and case study
2007220
2 2005179
3 2017141
4 2021112
5 201563
6 201643
7 201642
8 202221
9 201919
10 202118
11 202317
12 202313
13 201912
14 200812
15 20117
16 20207
17 20236
18 20156
19 20216
20 20244

About Vikram Sharma

Vikram Sharma is a scholar working on Strategy and Management, Management Information Systems, Industrial and Manufacturing Engineering, Marketing and Artificial Intelligence, having authored 51 papers that have together received 994 indexed citations. Recurring topics across this work include Quality and Supply Management (11 papers), Sustainable Supply Chain Management (7 papers), Quality and Management Systems (6 papers), Environmental Sustainability in Business (5 papers), Digital Transformation in Industry (4 papers), Consumer Retail Behavior Studies (4 papers), Energy and Environment Impacts (3 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Management Information Systems (182 citations), Marketing (149 citations), Strategy and Management (191 citations), Artificial Intelligence (362 citations) and Signal Processing (120 citations). Vikram Sharma has collaborated with scholars based in India, Italy and Australia. Frequent co-authors include Vikas Gautam, Mohammad Asim Qadri, Amit Rai Dixit, David Dagon, Brent Byunghoon Kang, J.B. Grizzard, Sudhir Kumar Pathak, Timothy C. Ralph, Andrew M. Lance and Christian Weedbrook. Their work appears in journals such as Benchmarking An International Journal, Journal of Dispersion Science and Technology, International Journal on Interactive Design and Manufacturing (IJIDeM), International Journal of Productivity and Quality Management and Energy Policy.

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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