Kush Wadhwa
- Sociology and Political Science top 10%
- Information Systems top 10%
- Communication top 10%
- Artificial Intelligence
- Political Science and International Relations
- Co-authors
- Hayley WatsonRachel FinnDavid WrightRowena RodriguesPaul De HertEmilio MordiniBridgette WesselsDavene R. Wright
- Topics
- Privacy, Security, and Data Protection (6 papers)Research Data Management Practices (4 papers)Technology Use by Older Adults (4 papers)
- Journals
- International Journal of Disaster Risk ReductionScience and Public PolicyEthics and Information Technology
- Partner nations
- ItalyGermanyNetherlands
In The Last Decade
Kush Wadhwa
27 papers receiving 252 citations
Peers
Comparison fields: 5 of 76
- Sociology and Political Science 144
- Information Systems 66
- Communication 60
- Artificial Intelligence 46
- Political Science and International Relations 36
Countries citing papers authored by Kush Wadhwa
This map shows the geographic impact of Kush Wadhwa'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 Kush Wadhwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kush Wadhwa more than expected).
Fields of papers citing papers by Kush Wadhwa
This network shows the impact of papers produced by Kush Wadhwa. 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 Kush Wadhwa. The network helps show where Kush Wadhwa may publish in the future.
Co-authorship network of co-authors of Kush Wadhwa
This figure shows the co-authorship network connecting the top 25 collaborators of Kush Wadhwa. A scholar is included among the top collaborators of Kush Wadhwa 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 Kush Wadhwa. Kush Wadhwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Mobilising Data in a Knowledge Society | 1 |
| 3 | 58 | |
| 4 | 0 | |
| 5 | 32 | |
| 6 | Exploring big 'crisis' data in action: potential positive and negative externalities. | 4 |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 9 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | Privacy Impact Assessment and Risk Management | 1 |
| 17 | A Privacy Impact Assessment Framework for data protection and privacy rights | 9 |
| 18 | Good Practices in e-Inclusion | 1 |
| 19 | 26 | |
| 20 | 16 |
About Kush Wadhwa
Kush Wadhwa is a scholar working on Neuropsychology and Physiological Psychology, Information Systems and Management and Demography, having authored 34 papers that have together received 296 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (6 papers), Research Data Management Practices (4 papers) and Technology Use by Older Adults (4 papers). The work is most often cited by research in Communication (60 citations), Information Systems and Management (27 citations) and Sociology and Political Science (144 citations). Kush Wadhwa has collaborated with scholars based in Italy, Germany and Netherlands. Frequent co-authors include Hayley Watson, Rachel Finn, David Wright, Rowena Rodrigues, Paul De Hert, Emilio Mordini, Bridgette Wessels, Davene R. Wright, Marc Langheinrich and Didier Bigo. Their work appears in journals such as International Journal of Disaster Risk Reduction, Science and Public Policy and Ethics and Information Technology.
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.