Arvind Thiagarajan
- Transportation top 1%
- Electrical and Electronic Engineering top 10%
- Computer Science Applications top 0.5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Co-authors
- Samuel MaddenHari BalakrishnanJakob ErikssonLenin RavindranathSivan ToledoKatrina LaCurtsJames BiagioniTomáš Gerlich
- Topics
- Time Series Analysis and Forecasting (4 papers)Context-Aware Activity Recognition Systems (4 papers)Human Mobility and Location-Based Analysis (4 papers)
- Journals
- Networked Systems Design and ImplementationNeural Information Processing SystemsConference on Innovative Data Systems Research
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Arvind Thiagarajan
11 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Transportation 499
- Electrical and Electronic Engineering 431
- Computer Science Applications 422
- Computer Networks and Communications 306
- Artificial Intelligence 263
Countries citing papers authored by Arvind Thiagarajan
This map shows the geographic impact of Arvind Thiagarajan'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 Arvind Thiagarajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Thiagarajan more than expected).
Fields of papers citing papers by Arvind Thiagarajan
This network shows the impact of papers produced by Arvind Thiagarajan. 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 Arvind Thiagarajan. The network helps show where Arvind Thiagarajan may publish in the future.
Co-authorship network of co-authors of Arvind Thiagarajan
This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Thiagarajan. A scholar is included among the top collaborators of Arvind Thiagarajan 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 Arvind Thiagarajan. Arvind Thiagarajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Meta-Learning Perspective on Cold-Start Recommendations for Items | 84 |
| 2 | 52 | |
| 3 | 166 | |
| 4 | 2 | |
| 5 | 193 | |
| 6 | 6 | |
| 7 | VTrackbreakdown → | 642 |
| 8 | 33 | |
| 9 | 37 | |
| 10 | The Case for a Signal-Oriented Data Stream Management System | 27 |
| 11 | 17 |
About Arvind Thiagarajan
Arvind Thiagarajan is a scholar working on Transportation, Computer Science Applications and Signal Processing, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (4 papers), Context-Aware Activity Recognition Systems (4 papers) and Human Mobility and Location-Based Analysis (4 papers). The work is most often cited by research in Computer Science Applications (422 citations), Transportation (499 citations) and Building and Construction (251 citations). Arvind Thiagarajan has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Samuel Madden, Hari Balakrishnan, Jakob Eriksson, Lenin Ravindranath, Sivan Toledo, Katrina LaCurts, James Biagioni, Tomáš Gerlich, Lewis Girod and Manasi Vartak. Their work appears in journals such as Networked Systems Design and Implementation, Neural Information Processing Systems and Conference on Innovative Data Systems Research.
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.