Vaibhav Garg
- Information Systems top 5%
- Sociology and Political Science top 10%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Co-authors
- L. Jean CampJean CampJeffrey L. BrewerWalter O. KrawecShirin NilizadehRachel GreenstadtDamon McCoySadia Afroz
- Topics
- Cybercrime and Law Enforcement Studies (9 papers)Privacy, Security, and Data Protection (8 papers)Crime, Illicit Activities, and Governance (7 papers)
- Journals
- Journal of Diabetes Science and TechnologyIEEE Aerospace and Electronic Systems MagazineJournal of Nondestructive Evaluation
- Partner nations
- United StatesIndiaIreland
In The Last Decade
Vaibhav Garg
29 papers receiving 404 citations
Peers
Comparison fields: 5 of 74
- Information Systems 213
- Sociology and Political Science 198
- Artificial Intelligence 94
- Signal Processing 58
- Computer Networks and Communications 42
Countries citing papers authored by Vaibhav Garg
This map shows the geographic impact of Vaibhav 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 Vaibhav Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vaibhav Garg more than expected).
Fields of papers citing papers by Vaibhav Garg
This network shows the impact of papers produced by Vaibhav 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 Vaibhav Garg. The network helps show where Vaibhav Garg may publish in the future.
Co-authorship network of co-authors of Vaibhav Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Vaibhav Garg. A scholar is included among the top collaborators of Vaibhav 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 Vaibhav Garg. Vaibhav 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 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 37 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 25 | |
| 11 | 19 | |
| 12 | 38 | |
| 13 | 36 | |
| 14 | 18 | |
| 15 | 23 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 6 | |
| 19 | 75 | |
| 20 | 6 |
About Vaibhav Garg
Vaibhav Garg is a scholar working on Information Systems, General Decision Sciences and Sociology and Political Science, having authored 30 papers that have together received 429 indexed citations. Recurring topics across this work include Cybercrime and Law Enforcement Studies (9 papers), Privacy, Security, and Data Protection (8 papers) and Crime, Illicit Activities, and Governance (7 papers). The work is most often cited by research in Information Systems (213 citations), Signal Processing (58 citations) and Sociology and Political Science (198 citations). Vaibhav Garg has collaborated with scholars based in United States, India and Ireland. Frequent co-authors include L. Jean Camp, Jean Camp, Jeffrey L. Brewer, Walter O. Krawec, Shirin Nilizadeh, Rachel Greenstadt, Damon McCoy, Sadia Afroz, Jim Blythe and Apu Kapadia. Their work appears in journals such as Journal of Diabetes Science and Technology, IEEE Aerospace and Electronic Systems Magazine and Journal of Nondestructive Evaluation.
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.