Aditya Telang
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Transportation top 10%
- Human Mobility and Location-Based Analysis
Papers in
-
- Data Management and Algorithms 8
- Time Series Analysis and Forecasting 2
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- Advanced Database Systems and Queries 7
- Co-authors
- Sriram Raghavan (3 shared papers)Sayan Ranu (3 shared papers)Prasad Deshpande (3 shared papers)P Deepak (2 shared papers)Sharma Chakravarthy (8 shared papers)Vinay Kolar (2 shared papers)Ravi Kokku (2 shared papers)Chengkai Li (3 shared papers)
- Journals
- Data Mining and Knowledge Discovery (1 paper)Distributed and Parallel Databases (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Journal of Neuroscience Methods (1 paper)INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING (1 paper)
- Partner nations
- United StatesIndiaSweden
In The Last Decade
Aditya Telang
14 papers receiving 186 citations
Peers
Comparison fields: 5 of 47
- Signal Processing 116
- Transportation 45
- Geography, Planning and Development 18
- Computer Networks and Communications 44
- Artificial Intelligence 61
Countries citing papers authored by Aditya Telang
This map shows the geographic impact of Aditya Telang'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 Aditya Telang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Telang more than expected).
Fields of papers citing papers by Aditya Telang
This network shows the impact of papers produced by Aditya Telang. 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 Aditya Telang. The network helps show where Aditya Telang may publish in the future.
Co-authors
The 17 scholars most cited alongside Aditya Telang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 94 | |
| 2 | 2010 | 19 | |
| 3 | 2014 | 15 | |
| 4 | 2015 | 14 | |
| 5 | 2014 | 14 | |
| 6 | 2022 | 10 | |
| 7 | 2011 | 9 | |
| 8 | Modeling Relational Data as Graphs for Mining | 2009 | 3 |
| 9 | Querying for Information Integration: How to go from an Imprecise Intent to a Precise Query? | 2008 | 3 |
| 10 | Information Integration Across Heterogeneous Sources: Where Do We Stand and How to Proceed? | 2008 | 3 |
| 11 | 2007 | 2 | |
| 12 | InfoSift: A Novel, Mining-Based Framework for Document Classification | 2014 | 1 |
| 13 | 2012 | 1 | |
| 14 | 2012 | 1 |
About Aditya Telang
Aditya Telang is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 189 indexed citations. Recurring topics across this work include Data Management and Algorithms (8 papers), Advanced Database Systems and Queries (7 papers), Web Data Mining and Analysis (5 papers), Semantic Web and Ontologies (2 papers), Time Series Analysis and Forecasting (2 papers), Text and Document Classification Technologies (2 papers), Advanced Text Analysis Techniques (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Signal Processing (116 citations), Transportation (45 citations), Geography, Planning and Development (18 citations), Computer Networks and Communications (44 citations) and Artificial Intelligence (61 citations). Aditya Telang has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Sriram Raghavan, Sayan Ranu, Prasad Deshpande, P Deepak, Sharma Chakravarthy, Vinay Kolar, Ravi Kokku, Chengkai Li, Arnab Bhattacharya and Yedendra Shrinivasan. Their work appears in journals such as Data Mining and Knowledge Discovery, Distributed and Parallel Databases, IEEE Transactions on Knowledge and Data Engineering, Journal of Neuroscience Methods and INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING.
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.