Rahul Ramachandran

2.5k total citations
124 papers, 1.3k citations indexed

About

Rahul Ramachandran is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management. According to data from OpenAlex, Rahul Ramachandran has authored 124 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 38 papers in Information Systems and 37 papers in Information Systems and Management. Recurrent topics in Rahul Ramachandran's work include Scientific Computing and Data Management (34 papers), Distributed and Parallel Computing Systems (16 papers) and Research Data Management Practices (15 papers). Rahul Ramachandran is often cited by papers focused on Scientific Computing and Data Management (34 papers), Distributed and Parallel Computing Systems (16 papers) and Research Data Management Practices (15 papers). Rahul Ramachandran collaborates with scholars based in United States, India and Italy. Rahul Ramachandran's co-authors include S.H. Lewis, T.R. Viswanathan, H.S. Fetterman, Manil Maskey, Daniel J. Cecil, Ramazan Aygün, Sara Graves, Jeffrey J. Miller, U. S. Nair and Andrew Detwiler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Rahul Ramachandran

115 papers receiving 1.2k citations

Peers

Rahul Ramachandran

EEE

GPC

Kirk Martinez United Kingdom

Dino Giuli Italy

Yang-Lang Chang Taiwan

Mingwei Wang China

Weihua Hu China

Guoqing Li China

Tony Thomas India

LI Deren China

Mario Ruiz Ecuador

Kirk Martinez United Kingdom

Rahul Ramachandran

421 ×1.0

EEE

113 ×0.3

264 ×0.8

99 ×0.4

GPC

161 ×0.9

Citations per year, relative to Rahul Ramachandran Rahul Ramachandran (= 1×) peers Kirk Martinez

Countries citing papers authored by Rahul Ramachandran

Since Specialization

Citations

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

Fields of papers citing papers by Rahul Ramachandran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Ramachandran

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

All Works

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20 of 20 papers shown

Ramachandran, Rahul, et al.. (2024). A Modular, Tendon Driven Variable Stiffness Manipulator with Internal Routing for Improved Stability and Increased Payload Capacity. 3030–3035. 3 indexed citations

Ramachandran, Rahul, et al.. (2024). Enabling Dynamic Data Governance in Science: Design, Implementation, and Future Directions of the Modern Data Governance Framework. 3720–3723. 1 indexed citations

Maskey, Manil, Gabriele Cavallaro, Dora B. Heras, et al.. (2023). A Summer School Session on Mastering Geospatial Artificial Intelligence: From Data Production to Artificial Intelligence Foundation Model Development and Downstream Applications [Technical Committees]. IEEE Geoscience and Remote Sensing Magazine. 11(3). 129–132.

Kaulfus, Aaron, et al.. (2023). Tropical Cyclone Wind Speed Estimation: A Large Scale Training Data Set and Community Benchmarking. Earth and Space Science. 10(3). 1 indexed citations

Ramachandran, Rahul, et al.. (2022). Language Model for Earth Science: Exploring Potential Downstream Applications as well as Current Challenges. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 4015–4018. 1 indexed citations

Ramachandran, Rahul, et al.. (2021). From Open Data to Open Science. Earth and Space Science. 8(5). 63 indexed citations

Kaulfus, Aaron, et al.. (2021). Improving Discovery and Use of NASA’s Earth Observation Data Through Metadata Quality Assessments. Data Science Journal. 20. 11 indexed citations

Kaulfus, Aaron, et al.. (2021). Semantic Segmentation with Deep Convolutional Neural Networks for Automated Dust Detection in Goes-R Satellite Imagery. 1 indexed citations

Maskey, Manil, et al.. (2020). Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 4271–4281. 52 indexed citations

10.

Miller, Jeffrey J., U. S. Nair, Rahul Ramachandran, & Manil Maskey. (2018). Detection of transverse cirrus bands in satellite imagery using deep learning. Computers & Geosciences. 118. 79–85. 21 indexed citations

11.

Maskey, Manil, et al.. (2017). A relevancy algorithm for curating earth science data around phenomenon. Computers & Geosciences. 106. 164–170. 1 indexed citations

12.

Lee, Tsengdar J., Jia Zhang, Rahul Ramachandran, et al.. (2016). Building Knowledge Graphs for NASA's Earth Science Enterprise. AGU Fall Meeting Abstracts. 2016. 1 indexed citations

13.

Ramachandran, Rahul, et al.. (2014). Data Albums: An Event Driven Search, Aggregation and Curation Tool for Earth Science. 1 indexed citations

14.

Khalsa, S. S., et al.. (2014). Earth Science Informatics Comes of Age. IEEE Geoscience and Remote Sensing Magazine. 2 indexed citations

15.

Plale, Beth, et al.. (2011). Key Provenance of Earth Science Observational Data Products. AGU Fall Meeting Abstracts. 2011. 1 indexed citations

16.

Ramachandran, Rahul, et al.. (2009). Talkoot Portals: Discover, Tag, Share, and Reuse Collaborative Science Workflows. AGUSM. 2009. 1 indexed citations

17.

Ramachandran, Rahul. (2008). A nonlinear stress sensitivity study on role of Coil-thrombus complex in reduction of idealized cerebral aneurysm wall stresses. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations

18.

Pokkuluri, Kiran Sree, et al.. (2008). Power-aware hybrid intrusion detection system (PHIDS) using cellular automata in wireless ad hoc networks. WSEAS Transactions on Computers archive. 7(11). 1848–1874. 6 indexed citations

19.

Ramachandran, Rahul, et al.. (2002). An Interoperable Framework for Mining and Analysis of Space Science Data (F-MASS). AGUFM. 2002. 1 indexed citations

20.

Ramachandran, Rahul. (2000). Algorithm Development and Mining (ADaM) System for Earth Science Applications. 2 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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