Rajiv Garg
- Cardiology and Cardiovascular Medicine top 5%
- Sociology and Political Science top 10%
- Endocrinology, Diabetes and Metabolism
- Communication top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Salim YusufRahul TelangMichael D. SmithJohn Sibley ButlerVijay MahajanDavid V. GibsonPrabhudev KonanaLinda L. Golden
- Topics
- Digital Marketing and Social Media (11 papers)Consumer Market Behavior and Pricing (7 papers)Innovation Diffusion and Forecasting (4 papers)
- Partner nations
- United StatesFranceIndia
In The Last Decade
Rajiv Garg
19 papers receiving 665 citations
Peers
Comparison fields: 5 of 101
- Cardiology and Cardiovascular Medicine 367
- Sociology and Political Science 165
- Endocrinology, Diabetes and Metabolism 64
- Communication 63
- Pulmonary and Respiratory Medicine 60
Countries citing papers authored by Rajiv Garg
This map shows the geographic impact of Rajiv Garg'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 Rajiv Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajiv Garg more than expected).
Fields of papers citing papers by Rajiv Garg
This network shows the impact of papers produced by Rajiv Garg. 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 Rajiv Garg. The network helps show where Rajiv Garg may publish in the future.
Co-authorship network of co-authors of Rajiv Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Rajiv Garg. A scholar is included among the top collaborators of Rajiv Garg 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 Rajiv Garg. Rajiv Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 31 | |
| 6 | 23 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Digital Embeddedness and its Effect on Organizational Decision-Making | 1 |
| 11 | Understanding Spillover Effects in Consumption of Rich Digital Media | 0 |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 43 | |
| 15 | Role of Online Social Networks in Job Search by Unemployed Individuals | 5 |
| 16 | 14 | |
| 17 | 107 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | Overview of randomized trials of angiotensin-converting enzyme inhibitors on mortality and morbidity in patients with heart failure. Collaborative Group on ACE Inhibitor Trials. | 426 |
About Rajiv Garg
Rajiv Garg is a scholar working on Marketing, Management Science and Operations Research and Communication, having authored 22 papers that have together received 730 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (11 papers), Consumer Market Behavior and Pricing (7 papers) and Innovation Diffusion and Forecasting (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (367 citations), Family Practice (21 citations) and Communication (63 citations). Rajiv Garg has collaborated with scholars based in United States, France and India. Frequent co-authors include Salim Yusuf, Rahul Telang, Michael D. Smith, Rahul Telang, John Sibley Butler, Vijay Mahajan, David V. Gibson, Prabhudev Konana, Linda L. Golden and Frenkel Ter Hofstede. Their work appears in journals such as Management Science, MIS Quarterly and Technological Forecasting and Social Change.
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.