Neha Verma
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Neurology
- Molecular Biology
- Health Information Management top 5%
- Co-authors
- Dragomir RadevYixin LiHarlan M. KrumholzIrene LiDavid ChangMatthew ZhangRichard A. TaylorBenjamin Rosand
- Topics
- Topic Modeling (4 papers)Natural Language Processing Techniques (3 papers)Speech Recognition and Synthesis (2 papers)
- Journals
- Journal of NeuroscienceInternational Journal of Radiation Oncology*Biology*PhysicsComputer Science Review
- Partner nations
- United StatesChinaGreece
In The Last Decade
Neha Verma
7 papers receiving 251 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 114
- Cellular and Molecular Neuroscience 65
- Neurology 48
- Molecular Biology 31
- Health Information Management 31
Countries citing papers authored by Neha Verma
This map shows the geographic impact of Neha Verma'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 Neha Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Verma more than expected).
Fields of papers citing papers by Neha Verma
This network shows the impact of papers produced by Neha Verma. 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 Neha Verma. The network helps show where Neha Verma may publish in the future.
Co-authorship network of co-authors of Neha Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Neha Verma. A scholar is included among the top collaborators of Neha Verma 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 Neha Verma. Neha Verma 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 | 118 | |
| 3 | 48 | |
| 4 | 1 | |
| 5 | Transfer Learning for Low-Resource Part-of-Speech Tagging | 1 |
| 6 | 7 | |
| 7 | 70 | |
| 8 | 17 |
About Neha Verma
Neha Verma is a scholar working on Rehabilitation, Artificial Intelligence and Orthopedics and Sports Medicine, having authored 8 papers that have together received 262 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Health Informatics (20 citations), Health Information Management (31 citations) and Artificial Intelligence (114 citations). Neha Verma has collaborated with scholars based in United States, China and Greece. Frequent co-authors include Dragomir Radev, Yixin Li, Harlan M. Krumholz, Irene Li, David Chang, Matthew Zhang, Richard A. Taylor, Benjamin Rosand, Preet Kaur and Tina Huang. Their work appears in journals such as Journal of Neuroscience, International Journal of Radiation Oncology*Biology*Physics and Computer Science Review.
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.