Sakshi Jain
- Information Systems top 5%
- Signal Processing top 10%
- Sociology and Political Science
- Artificial Intelligence
- Computer Networks and Communications
- Co-authors
- Sunny ConsolvoDavid WagnerSerge EgelmanGiorgio GiacintoDavid Mandell FreemanBattista BiggioKumar AbhinavAlpana Dubey
- Topics
- User Authentication and Security Systems (5 papers)Mobile Crowdsensing and Crowdsourcing (4 papers)Spam and Phishing Detection (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Medical Directors AssociationMaternal and Child Nutrition
- Partner nations
- IndiaUnited StatesSwitzerland
In The Last Decade
Sakshi Jain
22 papers receiving 290 citations
Peers
Comparison fields: 5 of 75
- Information Systems 168
- Signal Processing 101
- Sociology and Political Science 82
- Artificial Intelligence 62
- Computer Networks and Communications 34
Countries citing papers authored by Sakshi Jain
This map shows the geographic impact of Sakshi 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 Sakshi Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakshi Jain more than expected).
Fields of papers citing papers by Sakshi Jain
This network shows the impact of papers produced by Sakshi 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 Sakshi Jain. The network helps show where Sakshi Jain may publish in the future.
Co-authorship network of co-authors of Sakshi Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Sakshi Jain. A scholar is included among the top collaborators of Sakshi 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 Sakshi Jain. Sakshi 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 | 0 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 31 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 73 | |
| 16 | 10 | |
| 17 | 4 | |
| 18 | 94 | |
| 19 | Symbolic software model validation | 2 |
| 20 | Universal Education Programme ‘Sarv Shiksha Abhiyan’: Assessment of a Government Initiative in India | 0 |
About Sakshi Jain
Sakshi Jain is a scholar working on Computer Science Applications, Business and International Management and Safety Research, having authored 28 papers that have together received 303 indexed citations. Recurring topics across this work include User Authentication and Security Systems (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Signal Processing (101 citations), Information Systems (168 citations) and Human-Computer Interaction (31 citations). Sakshi Jain has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Sunny Consolvo, David Wagner, Serge Egelman, Giorgio Giacinto, David Mandell Freeman, Battista Biggio, Kumar Abhinav, Alpana Dubey, Pradeep Kumar Roy and Alex Kass. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Directors Association and Maternal and Child Nutrition.
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.