Anuj Kumar

51 papers receiving 534 citations

Peers

Anuj Kumar
Comparison fields: 5 of 109
  • Health Informatics 30
  • Business and International Management 14
  • Marketing 54
  • Computer Science Applications 31
  • Information Systems and Management 37
Replace Marija Čubrić with:
Marija Čubrić United Kingdom
Paola Pisano Italy
Adebowale Owoseni United Kingdom
Josivânia Silva Farias Brazil
António Abreu Portugal
Monika Mital India
Oluwatoyin Ajoke Farayola United States
Subhashini Durai India
Marina Johnson United States
Sebastian Hermes Germany
Anuj Kumar relative to Marija Čubrić United Kingdom Marija Čubrić's profile →
Citations per field
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Marija Čubrić · 1×
Citations per year

Countries citing papers authored by Anuj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anuj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202151
2 202149
3 202347
4 202241
5 201340
6 202235
7 202123
8 202122
9 202120
10 202117
11
How Adoption of Online Resources Can Help Indian SMEs in Improving Performance during COVID-19 Pandemic
202016
12 202015
13 202312
14 202412
15 202112
16 202311
17 202111
18 202111
19 202110
20 20219

About Anuj Kumar

Anuj Kumar is a scholar working on Economics and Econometrics, Sociology and Political Science, General Health Professions, Marketing and Social Psychology, having authored 64 papers that have together received 566 indexed citations. Recurring topics across this work include COVID-19 Pandemic Impacts (12 papers), Digital Marketing and Social Media (7 papers), Diverse Aspects of Tourism Research (6 papers), Agricultural Economics and Practices (4 papers), Diverse Scientific Research Studies (4 papers), Emotional Intelligence and Performance (3 papers), Religious Tourism and Spaces (3 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Health Informatics (30 citations), Business and International Management (14 citations), Marketing (54 citations), Computer Science Applications (31 citations) and Information Systems and Management (37 citations). Anuj Kumar has collaborated with scholars based in India, Malaysia and Switzerland. Frequent co-authors include Geetika Madaan, H. R. Swapna, Asif Ali Syed, Larissa Canilha, Thais S. Milessi, Pooja Sharma, Arokiaraj David, Sanjay Manocha, Sangeeta Pant and P. K. Joshi. Their work appears in journals such as International Journal of Computer Integrated Manufacturing, Tourism and hospitality management, Small Enterprise Research, International Social Science Journal and World Review of Entrepreneurship Management and Sustainable Development.

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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