Geetika Jain
- Marketing top 5%
- Information Systems top 5%
- Sociology and Political Science top 10%
- Strategy and Management top 10%
- Information Systems and Management top 5%
- Co-authors
- Archana ShrivastavaSapna RakeshAmine BelhadiSachin KambleHarjit SinghJustin PaulEmili Grifell‐TatjéNaman Sharma
- Topics
- Technology Adoption and User Behaviour (10 papers)Digital Marketing and Social Media (9 papers)Blockchain Technology Applications and Security (9 papers)
- Journals
- Journal of Cleaner ProductionJournal of Business ResearchClinical Pharmacology & Therapeutics
- Partner nations
- IndiaUnited KingdomDenmark
In The Last Decade
Geetika Jain
22 papers receiving 610 citations
Peers
Comparison fields: 5 of 85
- Marketing 245
- Information Systems 240
- Sociology and Political Science 161
- Strategy and Management 153
- Information Systems and Management 145
Countries citing papers authored by Geetika Jain
This map shows the geographic impact of Geetika Jain'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 Geetika Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geetika Jain more than expected).
Fields of papers citing papers by Geetika Jain
This network shows the impact of papers produced by Geetika Jain. 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 Geetika Jain. The network helps show where Geetika Jain may publish in the future.
Co-authorship network of co-authors of Geetika Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Geetika Jain. A scholar is included among the top collaborators of Geetika Jain 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 Geetika Jain. Geetika Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 7 | |
| 8 | 60 | |
| 9 | 51 | |
| 10 | 53 | |
| 11 | 36 | |
| 12 | 19 | |
| 13 | 66 | |
| 14 | 65 | |
| 15 | 59 | |
| 16 | 25 | |
| 17 | 26 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | Recent trends in human resource management practices | 1 |
About Geetika Jain
Geetika Jain is a scholar working on Information Systems and Management, Marketing and Business and International Management, having authored 22 papers that have together received 648 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (10 papers), Digital Marketing and Social Media (9 papers) and Blockchain Technology Applications and Security (9 papers). The work is most often cited by research in Marketing (245 citations), Information Systems and Management (145 citations) and Management Information Systems (131 citations). Geetika Jain has collaborated with scholars based in India, United Kingdom and Denmark. Frequent co-authors include Archana Shrivastava, Sapna Rakesh, Amine Belhadi, Sachin Kamble, Harjit Singh, Justin Paul, Emili Grifell‐Tatjé, Naman Sharma, Rohit Sharma and Nelson Oly Ndubisi. Their work appears in journals such as Journal of Cleaner Production, Journal of Business Research and Clinical Pharmacology & Therapeutics.
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.