Arti Ramesh

761 total citations
30 papers, 482 citations indexed

About

Arti Ramesh is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Transportation. According to data from OpenAlex, Arti Ramesh has authored 30 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 7 papers in Transportation. Recurrent topics in Arti Ramesh's work include Human Mobility and Location-Based Analysis (7 papers), Advanced MIMO Systems Optimization (6 papers) and Online Learning and Analytics (5 papers). Arti Ramesh is often cited by papers focused on Human Mobility and Location-Based Analysis (7 papers), Advanced MIMO Systems Optimization (6 papers) and Online Learning and Analytics (5 papers). Arti Ramesh collaborates with scholars based in United States, Brazil and France. Arti Ramesh's co-authors include Lise Getoor, Dan Goldwasser, Bert Huang, Hal Daumé, Anand Seetharam, Yue Zhang, James R. Foulds, A. Chockalingam, L.B. Milstein and Yue Zhang and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, Pervasive and Mobile Computing and IEEE Transactions on Learning Technologies.

In The Last Decade

Arti Ramesh

30 papers receiving 468 citations

Peers

Arti Ramesh
Abdullah Alshanqiti Saudi Arabia
Nikola Gvozdenovic Austria
Milton Román Cañizares Ecuador
Suhaila Zainudin Malaysia
Andrew Kwok-Fai Lui Hong Kong
Shanshan Wan China
Huibing Zhang China
Sujan Kumar Saha India
Mohammed Basheri Saudi Arabia
Yi-Chun Chang Taiwan
Abdullah Alshanqiti Saudi Arabia
Arti Ramesh
Citations per year, relative to Arti Ramesh Arti Ramesh (= 1×) peers Abdullah Alshanqiti

Countries citing papers authored by Arti Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by Arti Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arti Ramesh

This figure shows the co-authorship network connecting the top 25 collaborators of Arti Ramesh. A scholar is included among the top collaborators of Arti Ramesh 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 Arti Ramesh. Arti Ramesh 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
1.
Seetharam, Anand, et al.. (2021). Mobility-aware COVID-19 Case Prediction using Cellular Network Logs. 479–486. 1 indexed citations
2.
Ramesh, Arti, et al.. (2021). Poster: Understanding Human Mobility during COVID-19 using Cellular Network Traffic. 1–3. 1 indexed citations
3.
Seetharam, Anand, et al.. (2021). Wireless Channel Quality Prediction using Sparse Gaussian Conditional Random Fields. 3 indexed citations
4.
Seetharam, Anand, et al.. (2021). Understanding the Societal Disruption due to COVID-19 via User Tweets. 137–144. 2 indexed citations
5.
Seetharam, Anand, et al.. (2021). Poster: COVID-19 Case Prediction using Cellular Network Traffic. 1–3. 3 indexed citations
6.
Ramesh, Arti, et al.. (2020). SWIFT: A non-emergency response prediction system using sparse Gaussian Conditional Random Fields. Pervasive and Mobile Computing. 71. 101317–101317. 1 indexed citations
7.
Bailey, S. Lawrence, Yue Zhang, Arti Ramesh, Jennifer Golbeck, & Lise Getoor. (2020). A Structured and Linguistic Approach to Understanding Recovery and Relapse in AA. ACM Transactions on the Web. 15(1). 1–35. 2 indexed citations
8.
Seetharam, Anand, et al.. (2019). DeepFit. 394–403. 2 indexed citations
9.
Seetharam, Anand, et al.. (2019). SWaP. 233–242. 6 indexed citations
10.
Seetharam, Anand, et al.. (2019). A Deep Learning Model for Wireless Channel Quality Prediction. 1–6. 17 indexed citations
11.
Seetharam, Anand, et al.. (2019). DeepChannel: Wireless Channel Quality Prediction Using Deep Learning. IEEE Transactions on Vehicular Technology. 69(1). 443–456. 65 indexed citations
12.
Zhang, Yue & Arti Ramesh. (2018). Fine-Grained Analysis of Cyberbullying Using Weakly-Supervised Topic Models. 504–513. 7 indexed citations
13.
Ramesh, Arti, Dan Goldwasser, Bert Huang, Hal Daumé, & Lise Getoor. (2018). Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. IEEE Transactions on Learning Technologies. 13(1). 107–122. 7 indexed citations
14.
Jain, Mayank, et al.. (2018). Predictive Analytics for Smart Water Management in Developing Regions. 464–469. 8 indexed citations
15.
Zhang, Yue, Arti Ramesh, Jennifer Golbeck, Dhanya Sridhar, & Lise Getoor. (2018). A Structured Approach to Understanding Recovery and Relapse in AA. 1205–1214. 9 indexed citations
16.
Ramesh, Arti, et al.. (2016). Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study.. Educational Data Mining. 239–246. 7 indexed citations
17.
Ramesh, Arti, et al.. (2015). Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums. 74–83. 49 indexed citations
18.
Ramesh, Arti, Dan Goldwasser, Bert Huang, Hal Daumé, & Lise Getoor. (2014). Understanding MOOC Discussion Forums using Seeded LDA. 28–33. 65 indexed citations
19.
Ramesh, Arti, Dan Goldwasser, Bert Huang, Hal Daumé, & Lise Getoor. (2014). Learning Latent Engagement Patterns of Students in Online Courses. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 80 indexed citations
20.
Ramesh, Arti, A. Chockalingam, & L.B. Milstein. (2003). A first-order Markov model for correlated Nakagami-m fading channels. 5. 3413–3417. 14 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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