Anand Padmanabhan
- Transportation top 2%
- Human Mobility and Location-Based Analysis 12
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- Geographic Information Systems Studies 16
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- Scientific Computing and Data Management 18
- Communication top 5%
- Signal Processing top 5%
- Data Management and Algorithms 12
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- Distributed and Parallel Computing Systems 19
- Peer-to-Peer Network Technologies 5
- Advanced Data Storage Technologies 3
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- Data-Driven Disease Surveillance 7
- Co-authors
- Shaowen WangGuofeng CaoEric ShookKalev LeetaruYan LiuKiumars SoltaniZhenhua ZhangJunjun Yin
- Journals
- SoftwareX (2 papers)Data & Knowledge Engineering (1 paper)Journal of Grid Computing (1 paper)
- Partner nations
- United StatesChinaBulgaria
In The Last Decade
Anand Padmanabhan
46 papers receiving 928 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Transportation 283
- Geography, Planning and Development 182
- Information Systems and Management 128
- Communication 121
- Signal Processing 127
Countries citing papers authored by Anand Padmanabhan
This map shows the geographic impact of Anand Padmanabhan'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 Anand Padmanabhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anand Padmanabhan more than expected).
Fields of papers citing papers by Anand Padmanabhan
This network shows the impact of papers produced by Anand Padmanabhan. 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 Anand Padmanabhan. The network helps show where Anand Padmanabhan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anand Padmanabhan, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 0 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 6 | |
| 10 | 2018 | 36 | |
| 11 | 2017 | 62 | |
| 12 | 2014 | 2 | |
| 13 | 2014 | 23 | |
| 14 | 2014 | 5 | |
| 15 | 2013 | 3 | |
| 16 | 2013 | 18 | |
| 17 | 2013 | 18 | |
| 18 | 2011 | 12 | |
| 19 | Sog: a self-organized grouping infrastructure for grid resource discovery | 2006 | 2 |
| 20 | 2003 | 2 |
About Anand Padmanabhan
Anand Padmanabhan is a scholar working on Geography, Planning and Development, Information Systems and Management, Transportation, Signal Processing and Computer Networks and Communications, having authored 48 papers that have together received 977 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (19 papers), Scientific Computing and Data Management (18 papers), Geographic Information Systems Studies (16 papers), Human Mobility and Location-Based Analysis (12 papers), Data Management and Algorithms (12 papers), Data-Driven Disease Surveillance (7 papers), Peer-to-Peer Network Technologies (5 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Transportation (283 citations), Geography, Planning and Development (182 citations), Information Systems and Management (128 citations), Communication (121 citations) and Signal Processing (127 citations). Anand Padmanabhan has collaborated with scholars based in United States, China and Bulgaria. Frequent co-authors include Shaowen Wang, Guofeng Cao, Eric Shook, Kalev Leetaru, Yan Liu, Kiumars Soltani, Zhenhua Zhang, Junjun Yin, Aiman Soliman and Yizhao Gao. Their work appears in journals such as SoftwareX, Data & Knowledge Engineering, Journal of Grid Computing, GeoInformatica and Computers Environment and Urban Systems.
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.