Tulsee Doshi
- Computer Science Applications top 2%
- Artificial Intelligence
- Sociology and Political Science
- Safety Research top 10%
- Information Systems
- Co-authors
- Negar RahmatiMelissa ValentineAlexandra ToDaniela RetelnyMichael S. BernsteinWalter S. LaseckiJay PatelAllison Woodruff
- Topics
- Open Source Software Innovations (2 papers)Advanced Radiotherapy Techniques (2 papers)Mobile Crowdsensing and Crowdsourcing (2 papers)
- Journals
- PubMed
- Partner nations
- United States
In The Last Decade
Tulsee Doshi
6 papers receiving 318 citations
Peers
Comparison fields: 5 of 63
- Computer Science Applications 149
- Artificial Intelligence 70
- Sociology and Political Science 57
- Safety Research 53
- Information Systems 44
Countries citing papers authored by Tulsee Doshi
This map shows the geographic impact of Tulsee Doshi'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 Tulsee Doshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tulsee Doshi more than expected).
Fields of papers citing papers by Tulsee Doshi
This network shows the impact of papers produced by Tulsee Doshi. 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 Tulsee Doshi. The network helps show where Tulsee Doshi may publish in the future.
Co-authorship network of co-authors of Tulsee Doshi
This figure shows the co-authorship network connecting the top 25 collaborators of Tulsee Doshi. A scholar is included among the top collaborators of Tulsee Doshi 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 Tulsee Doshi. Tulsee Doshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Fairness Indicators Demo: Scalable Infrastructure for Fair ML Systems | 1 |
| 2 | 59 | |
| 3 | 97 | |
| 4 | The impact of anatomic tumor location on inter-fraction tumor motion during lung stereotactic body radiation therapy (SBRT). | 3 |
| 5 | 153 | |
| 6 | 17 |
About Tulsee Doshi
Tulsee Doshi is a scholar working on Computer Science Applications, Radiation and Information Systems and Management, having authored 6 papers that have together received 330 indexed citations. Recurring topics across this work include Open Source Software Innovations (2 papers), Advanced Radiotherapy Techniques (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Computer Science Applications (149 citations), Health Informatics (9 citations) and Safety Research (53 citations). Tulsee Doshi has collaborated with scholars based in United States. Frequent co-authors include Negar Rahmati, Melissa Valentine, Alexandra To, Daniela Retelny, Michael S. Bernstein, Walter S. Lasecki, Jay Patel, Allison Woodruff, Jonathan Bischof and Jilin Chen. Their work appears in journals such as PubMed.
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.