Advait Sarkar
- Artificial Intelligence top 10%
- Social Psychology top 10%
- Software top 5%
- Computer Science Applications top 5%
- Automotive Engineering top 10%
- Co-authors
- Sean RintelIoannis PolitisCharlie HewittLev TankelevitchAbigail SellenCecilia MascoloNeal LathiaAndrew D. Gordon
- Topics
- Spreadsheets and End-User Computing (16 papers)Statistics Education and Methodologies (11 papers)Data Visualization and Analytics (6 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Advait Sarkar
46 papers receiving 563 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 133
- Social Psychology 128
- Software 85
- Computer Science Applications 82
- Automotive Engineering 73
Countries citing papers authored by Advait Sarkar
This map shows the geographic impact of Advait Sarkar'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 Advait Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Advait Sarkar more than expected).
Fields of papers citing papers by Advait Sarkar
This network shows the impact of papers produced by Advait Sarkar. 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 Advait Sarkar. The network helps show where Advait Sarkar may publish in the future.
Co-authorship network of co-authors of Advait Sarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Advait Sarkar. A scholar is included among the top collaborators of Advait Sarkar 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 Advait Sarkar. Advait Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | The Metacognitive Demands and Opportunities of Generative AIbreakdown → | 71 |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 21 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 16 | |
| 17 | 7 | |
| 18 | The impact of syntax colouring on program comprehension. | 18 |
| 19 | Confidence, command, complexity: metamodels for structured interaction with machine intelligence. | 8 |
| 20 | 2 |
About Advait Sarkar
Advait Sarkar is a scholar working on Software, Statistics and Probability and Computer Science Applications, having authored 50 papers that have together received 581 indexed citations. Recurring topics across this work include Spreadsheets and End-User Computing (16 papers), Statistics Education and Methodologies (11 papers) and Data Visualization and Analytics (6 papers). The work is most often cited by research in Software (85 citations), Computer Science Applications (82 citations) and Health Informatics (19 citations). Advait Sarkar has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Sean Rintel, Ioannis Politis, Charlie Hewitt, Lev Tankelevitch, Abigail Sellen, Cecilia Mascolo, Neal Lathia, Andrew D. Gordon, Ian Drosos and Alan F. Blackwell. Their work appears in journals such as Communications of the ACM, Disability and Rehabilitation and Transportation.
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.