Aditi Raghunathan
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Signal Processing top 10%
- Plant Science
- Co-authors
- Percy LiangJacob SteinhardtRobin JiaSachin GoyalAnanya KumarJ. Zico KolterS. K. MajumderShiori Sagawa
- Topics
- Insect Pest Control Strategies (6 papers)Adversarial Robustness in Machine Learning (5 papers)Insect and Pesticide Research (3 papers)
- Journals
- Journal of Invertebrate PathologyJournal of Stored Products ResearchSeed Science and Technology
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Aditi Raghunathan
16 papers receiving 395 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 330
- Computer Vision and Pattern Recognition 83
- Molecular Biology 66
- Signal Processing 49
- Plant Science 38
Countries citing papers authored by Aditi Raghunathan
This map shows the geographic impact of Aditi Raghunathan'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 Aditi Raghunathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditi Raghunathan more than expected).
Fields of papers citing papers by Aditi Raghunathan
This network shows the impact of papers produced by Aditi Raghunathan. 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 Aditi Raghunathan. The network helps show where Aditi Raghunathan may publish in the future.
Co-authorship network of co-authors of Aditi Raghunathan
This figure shows the co-authorship network connecting the top 25 collaborators of Aditi Raghunathan. A scholar is included among the top collaborators of Aditi Raghunathan 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 Aditi Raghunathan. Aditi Raghunathan 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 | 3 | |
| 3 | 40 | |
| 4 | 13 | |
| 5 | 27 | |
| 6 | The Pitfalls of Simplicity Bias in Neural Networks | 2 |
| 7 | An Investigation of Why Overparameterization Exacerbates Spurious Correlations | 6 |
| 8 | 137 | |
| 9 | When Covariate-shifted Data Augmentation Increases Test Error And How to Fix It | 1 |
| 10 | Certified Defenses against Adversarial Examples | 79 |
| 11 | 53 | |
| 12 | 28 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | Biological control of tea looper with Bacillus thuringiensis. | 2 |
| 16 | Further studies on the control of internal fungi of sorghum by fumigation. | 2 |
| 17 | Storage fungi associated with rice weevil (Sitophilus oryzae L.). | 9 |
| 18 | Influence of some Aspergillus sp. on the population of Sitophilus oryzae L. (Coleoptera curculionidae). | 0 |
| 19 | 9 |
About Aditi Raghunathan
Aditi Raghunathan is a scholar working on Insect Science, Artificial Intelligence and Plant Science, having authored 19 papers that have together received 423 indexed citations. Recurring topics across this work include Insect Pest Control Strategies (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Insect and Pesticide Research (3 papers). The work is most often cited by research in Artificial Intelligence (330 citations), Signal Processing (49 citations) and Computer Vision and Pattern Recognition (83 citations). Aditi Raghunathan has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Percy Liang, Jacob Steinhardt, Robin Jia, Sachin Goyal, Ananya Kumar, J. Zico Kolter, S. K. Majumder, Shiori Sagawa, Pang Wei Koh and Annie Chen. Their work appears in journals such as Journal of Invertebrate Pathology, Journal of Stored Products Research and Seed Science and Technology.
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.