Preethi Lahoti
Impact in
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
-
- Topic Modeling 4
- Adversarial Robustness in Machine Learning 2
- Natural Language Processing Techniques 1
-
- Crime Patterns and Interventions 1
- Co-authors
- Krishna P. Gummadi (2 shared papers)Gerhard Weikum (2 shared papers)Aristides Gionis (2 shared papers)Kiran Garimella (1 shared paper)Gianmarco De Francisci Morales (1 shared paper)Kevin Robinson (1 shared paper)Lora Aroyo (1 shared paper)Ahmad Beirami (1 shared paper)
- Journals
- Machine Learning (1 paper)Proceedings of the VLDB Endowment (1 paper)Aaltodoc (Aalto University) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- FinlandGermanySwitzerland
In The Last Decade
Preethi Lahoti
7 papers receiving 94 citations
Peers
Comparison fields: 5 of 29
- Health Informatics 7
- Safety Research 34
- Artificial Intelligence 68
- Statistical and Nonlinear Physics 15
- Computer Science Applications 6
Countries citing papers authored by Preethi Lahoti
This map shows the geographic impact of Preethi Lahoti'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 Preethi Lahoti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preethi Lahoti more than expected).
Fields of papers citing papers by Preethi Lahoti
This network shows the impact of papers produced by Preethi Lahoti. 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 Preethi Lahoti. The network helps show where Preethi Lahoti may publish in the future.
Co-authors
The 14 scholars most cited alongside Preethi Lahoti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 46 | |
| 2 | 2018 | 21 | |
| 3 | 2017 | 10 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 5 | |
| 7 | 2017 | 2 |
About Preethi Lahoti
Preethi Lahoti is a scholar working on Artificial Intelligence, Sociology and Political Science, Communication, Information Systems and Statistical and Nonlinear Physics, having authored 7 papers that have together received 98 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Adversarial Robustness in Machine Learning (2 papers), Crime Patterns and Interventions (1 paper), Social Media and Politics (1 paper), Natural Language Processing Techniques (1 paper), Expert finding and Q&A systems (1 paper), Data Management and Algorithms (1 paper) and Ethics and Social Impacts of AI (1 paper). The work is most often cited by research in Health Informatics (7 citations), Safety Research (34 citations), Artificial Intelligence (68 citations), Statistical and Nonlinear Physics (15 citations) and Computer Science Applications (6 citations). Preethi Lahoti has collaborated with scholars based in Finland, Germany and Switzerland. Frequent co-authors include Krishna P. Gummadi, Gerhard Weikum, Aristides Gionis, Kiran Garimella, Gianmarco De Francisci Morales, Kevin Robinson, Lora Aroyo, Ahmad Beirami, Patrick K. Nicholson and Alex Beutel. Their work appears in journals such as Machine Learning, Proceedings of the VLDB Endowment, Aaltodoc (Aalto University) and arXiv (Cornell University).
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.