Neha Gupta
- Environmental Engineering top 10%
- Global and Planetary Change
- Cardiology and Cardiovascular Medicine
- Health, Toxicology and Mutagenesis top 10%
- Atmospheric Science
- Co-authors
- Aneesh MathewSumit KhandelwalArun KumarNikolai LeonenkoAbhιshek SinhaAli AhmedCharity J. MorganGregg C. Fonarow
- Topics
- Hydrology and Drought Analysis (7 papers)Fractional Differential Equations Solutions (6 papers)Mathematical functions and polynomials (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyThe American Journal of Medicine
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Neha Gupta
44 papers receiving 358 citations
Peers
Comparison fields: 5 of 105
- Environmental Engineering 114
- Global and Planetary Change 100
- Cardiology and Cardiovascular Medicine 74
- Health, Toxicology and Mutagenesis 74
- Atmospheric Science 46
Countries citing papers authored by Neha Gupta
This map shows the geographic impact of Neha Gupta'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 Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Gupta more than expected).
Fields of papers citing papers by Neha Gupta
This network shows the impact of papers produced by Neha Gupta. 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 Gupta. The network helps show where Neha Gupta may publish in the future.
Co-authorship network of co-authors of Neha Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Neha Gupta. A scholar is included among the top collaborators of Neha Gupta 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 Gupta. Neha Gupta 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | Stochastic models with mixtures of tempered stable subordinators | 4 |
| 8 | Time Series Model for Stock Market Prediction Utilising Prophet | 3 |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | Macroeconomic variables and market expectations: Indian Stock Market | 2 |
| 13 | Statistical Analysis Of Wind Energy Prediction On The Basis Of Weibull Parameters | 1 |
| 14 | 3 | |
| 15 | 18 | |
| 16 | 26 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 20 | |
| 20 | 4 |
About Neha Gupta
Neha Gupta is a scholar working on Modeling and Simulation, Applied Mathematics and Anesthesiology and Pain Medicine, having authored 56 papers that have together received 366 indexed citations. Recurring topics across this work include Hydrology and Drought Analysis (7 papers), Fractional Differential Equations Solutions (6 papers) and Mathematical functions and polynomials (5 papers). The work is most often cited by research in Environmental Engineering (114 citations), Health, Toxicology and Mutagenesis (74 citations) and Internal Medicine (18 citations). Neha Gupta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Aneesh Mathew, Sumit Khandelwal, Arun Kumar, Nikolai Leonenko, Abhιshek Sinha, Ali Ahmed, Charity J. Morgan, Gregg C. Fonarow, Phillip H. Lam and Prakash Deedwania. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The American Journal of Medicine.
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.