Nikhil Rao

2.3k total citations
63 papers, 1.3k citations indexed

About

Nikhil Rao is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nikhil Rao has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Computational Mechanics and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nikhil Rao's work include Sparse and Compressive Sensing Techniques (13 papers), Advanced Graph Neural Networks (8 papers) and Topic Modeling (6 papers). Nikhil Rao is often cited by papers focused on Sparse and Compressive Sensing Techniques (13 papers), Advanced Graph Neural Networks (8 papers) and Topic Modeling (6 papers). Nikhil Rao collaborates with scholars based in United States, United Kingdom and Germany. Nikhil Rao's co-authors include Inderjit S. Dhillon, Hsiang‐Fu Yu, Karen L. Christman, Robert D. Nowak, Jessica L. Ungerleider, Gregory N. Grover, Pradeep Ravikumar, Todd D. Johnson, Stephen J. Wright and Timothy T. Rogers and has published in prestigious journals such as ACS Nano, Biomaterials and Gut.

In The Last Decade

Nikhil Rao

59 papers receiving 1.2k citations

Peers

Nikhil Rao
Yong‐Deok Kim South Korea
Bing Nan Li China
Xin Qi Japan
Xiaoming Zhou China
Jun Tan China
Chen Pan China
Fan Wang China
Yuxing Peng China
Jin Xu China
Yong‐Deok Kim South Korea
Nikhil Rao
Citations per year, relative to Nikhil Rao Nikhil Rao (= 1×) peers Yong‐Deok Kim

Countries citing papers authored by Nikhil Rao

Since Specialization
Citations

This map shows the geographic impact of Nikhil Rao'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 Nikhil Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Rao more than expected).

Fields of papers citing papers by Nikhil Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikhil Rao. 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 Nikhil Rao. The network helps show where Nikhil Rao may publish in the future.

Co-authorship network of co-authors of Nikhil Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Nikhil Rao. A scholar is included among the top collaborators of Nikhil Rao 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 Nikhil Rao. Nikhil Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Kumar, Shankar, Nikhil Rao, Alex Menys, et al.. (2024). Volumetric measurement of terminal ileal Crohn’s disease by magnetic resonance enterography: a feasibility study. European Radiology. 35(1). 117–126. 2 indexed citations
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Putra, Marson, Nikhil Rao, Guanghao Liu, et al.. (2024). Enhanced Fyn-tau and NR2B-PSD95 interactions in epileptic foci in experimental models and human epilepsy. Brain Communications. 6(5). fcae327–fcae327. 7 indexed citations
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Rao, Nikhil, et al.. (2024). Intel Accelerators Ecosystem: An SoC-Oriented Perspective : Industry Product. 848–862. 5 indexed citations
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Zhu, Jiong, et al.. (2024). Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation. ACM Transactions on Knowledge Discovery from Data. 19(1). 1–26. 2 indexed citations
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Zheng, Wenqing, et al.. (2023). Search Behavior Prediction: A Hypergraph Perspective. 697–705. 5 indexed citations
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Rao, Nikhil, et al.. (2021). The incidence and duration of COVID-19 vaccine-related reactive lymphadenopathy on 18F-FDG PET-CT. Clinical Medicine. 21(6). e633–e638. 12 indexed citations
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Sood, Ajit, Kirandeep Kaur, Ramit Mahajan, et al.. (2020). Colitis and Crohn’s Foundation (India): a first nationwide inflammatory bowel disease registry. Intestinal Research. 19(2). 206–216. 25 indexed citations
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Rao, Nikhil, et al.. (2020). Regularized Graph Convolutional Networks for Short Text Classification. 236–242. 9 indexed citations
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Sun, Yifan, et al.. (2017). Discovery of Evolving Semantics through Dynamic Word Embedding Learning.. arXiv (Cornell University). 3 indexed citations
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Rao, Nikhil, Gillie Agmon, Matthew Tierney, et al.. (2017). Engineering an Injectable Muscle-Specific Microenvironment for Improved Cell Delivery Using a Nanofibrous Extracellular Matrix Hydrogel. ACS Nano. 11(4). 3851–3859. 60 indexed citations
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Yu, Hsiang‐Fu, Nikhil Rao, & Inderjit S. Dhillon. (2016). Temporal regularized matrix factorization for high-dimensional time series prediction. Neural Information Processing Systems. 29. 847–855. 215 indexed citations
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Shah, Parikshit, Nikhil Rao, & Gongguo Tang. (2015). Sparse and low-rank tensor decomposition. Neural Information Processing Systems. 28. 2548–2556. 9 indexed citations
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Yu, Hsiang‐Fu, Nikhil Rao, & Inderjit S. Dhillon. (2015). Temporal Regularized Matrix Factorization.. arXiv (Cornell University). 3 indexed citations
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Rao, Nikhil, Hsiang‐Fu Yu, Pradeep Ravikumar, & Inderjit S. Dhillon. (2015). Collaborative filtering with graph information: consistency and scalable methods. Neural Information Processing Systems. 28. 2107–2115. 118 indexed citations
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Rao, Nikhil, Gillie Agmon, Raymond Wang, et al.. (2015). Delivery of an engineered HGF fragment in an extracellular matrix-derived hydrogel prevents negative LV remodeling post-myocardial infarction. Biomaterials. 45. 56–63. 85 indexed citations
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Rao, Nikhil, Benjamin Recht, & Robert D. Nowak. (2012). Universal Measurement Bounds for Structured Sparse Signal Recovery. International Conference on Artificial Intelligence and Statistics. 942–950. 23 indexed citations
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Pearce, Thomas M., et al.. (2007). Multilayer PDMS microfluidic chamber for controlling brain slice microenvironment. Lab on a Chip. 7(7). 842–842. 66 indexed citations

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.

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