Usha Lokala
Impact in
- Toxicology top 10%
- Forensic Toxicology and Drug Analysis
-
- Digital Mental Health Interventions
Papers in
-
- Topic Modeling 3
- Sentiment Analysis and Opinion Mining 2
-
- Mental Health via Writing 4
- Co-authors
- Amit Sheth (14 shared papers)Raminta Daniulaityte (9 shared papers)François Lamy (8 shared papers)Krishnaprasad Thirunarayan (6 shared papers)Robert G. Carlson (3 shared papers)Manas Gaur (6 shared papers)Shweta Yadav (3 shared papers)Monica J. Barratt (2 shared papers)
- Journals
- JMIR Public Health and Surveillance (2 papers)Drug and Alcohol Dependence (2 papers)PLoS ONE (1 paper)Computational and Mathematical Organization Theory (1 paper)Studies in health technology and informatics (2 papers)
- Partner nations
- United StatesThailandIndia
In The Last Decade
Usha Lokala
14 papers receiving 160 citations
Peers
Comparison fields: 5 of 58
- Toxicology 18
- Applied Psychology 22
- Social Psychology 39
- Information Systems 35
- Artificial Intelligence 43
Countries citing papers authored by Usha Lokala
This map shows the geographic impact of Usha Lokala'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 Usha Lokala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Usha Lokala more than expected).
Fields of papers citing papers by Usha Lokala
This network shows the impact of papers produced by Usha Lokala. 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 Usha Lokala. The network helps show where Usha Lokala may publish in the future.
Co-authors
The 23 scholars most cited alongside Usha Lokala, 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 | 31 | |
| 2 | 2020 | 20 | |
| 3 | 2018 | 20 | |
| 4 | 2021 | 16 | |
| 5 | 2020 | 16 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2021 | 9 | |
| 9 | 2018 | 8 | |
| 10 | 2022 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2020 | 2 | |
| 13 | 2017 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 0 |
About Usha Lokala
Usha Lokala is a scholar working on Artificial Intelligence, Social Psychology, Information Systems, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 162 indexed citations. Recurring topics across this work include Mental Health via Writing (4 papers), Spam and Phishing Detection (3 papers), Topic Modeling (3 papers), Opioid Use Disorder Treatment (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Cybercrime and Law Enforcement Studies (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Toxicology (18 citations), Applied Psychology (22 citations), Social Psychology (39 citations), Information Systems (35 citations) and Artificial Intelligence (43 citations). Usha Lokala has collaborated with scholars based in United States, Thailand and India. Frequent co-authors include Amit Sheth, Raminta Daniulaityte, François Lamy, Krishnaprasad Thirunarayan, Robert G. Carlson, Manas Gaur, Shweta Yadav, Monica J. Barratt, Amélie Gyrard and Ugur Kursuncu. Their work appears in journals such as JMIR Public Health and Surveillance, Drug and Alcohol Dependence, PLoS ONE, Computational and Mathematical Organization Theory and Studies in health technology and informatics.
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.