Geetika Jain

36 total papers · 1.0k total citations
22 papers, 632 citations indexed

About

Geetika Jain is a scholar working on Information Systems and Management, Sociology and Political Science and Information Systems. According to data from OpenAlex, Geetika Jain has authored 22 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems and Management, 10 papers in Sociology and Political Science and 10 papers in Information Systems. Recurrent topics in Geetika Jain's work include Technology Adoption and User Behaviour (10 papers), Blockchain Technology Applications and Security (9 papers) and Digital Marketing and Social Media (9 papers). Geetika Jain is often cited by papers focused on Technology Adoption and User Behaviour (10 papers), Blockchain Technology Applications and Security (9 papers) and Digital Marketing and Social Media (9 papers). Geetika Jain collaborates with scholars based in India, United Kingdom and Denmark. Geetika Jain's co-authors include Archana Shrivastava, Sapna Rakesh, Amine Belhadi, Sachin Kamble, Harjit Singh, Justin Paul, Emili Grifell‐Tatjé, Rohit Sharma, Naman Sharma and Taab Ahmad Samad and has published in prestigious journals such as Journal of Cleaner Production, Journal of Business Research and Clinical Pharmacology & Therapeutics.

In The Last Decade

Geetika Jain

22 papers receiving 594 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Geetika Jain 238 236 157 149 141 22 632
Matteo Montecchi 195 0.8× 250 1.1× 197 1.3× 259 1.7× 89 0.6× 28 741
Michaela Bednárová 134 0.6× 165 0.7× 152 1.0× 208 1.4× 69 0.5× 16 686
Ashish Kumar Jha 108 0.5× 191 0.8× 182 1.2× 248 1.7× 102 0.7× 47 701
Rubén Mancha 200 0.8× 198 0.8× 102 0.6× 99 0.7× 58 0.4× 25 631
Abdul Jabbar 95 0.4× 142 0.6× 142 0.9× 101 0.7× 128 0.9× 37 574
Kang Xie 148 0.6× 91 0.4× 135 0.9× 129 0.9× 79 0.6× 41 597
Madugoda Gunaratnege Senali 123 0.5× 135 0.6× 179 1.1× 80 0.5× 250 1.8× 15 738
Mansour Naser Alraja 142 0.6× 120 0.5× 146 0.9× 139 0.9× 175 1.2× 31 669
Anabel Gutiérrez 149 0.6× 160 0.7× 260 1.7× 81 0.5× 292 2.1× 23 726
Guoyi Xiu 78 0.3× 145 0.6× 135 0.9× 204 1.4× 193 1.4× 25 615

Countries citing papers authored by Geetika Jain

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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