Yadu Babuji
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- Scientific Computing and Data Management 19
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- Distributed and Parallel Computing Systems 11
- Advanced Data Storage Technologies 10
- Information Systems top 10%
- Cloud Computing and Resource Management 6
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- Parallel Computing and Optimization Techniques 3
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- Data Quality and Management 4
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- Computational Physics and Python Applications 6
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- Machine Learning in Materials Science 4
- Co-authors
- Kyle ChardIan FosterRyan ChardZhuozhao LiDaniel S. KatzAnna WoodardBen BlaiszikLogan Ward
- Journals
- Future Generation Computer Systems (2 papers)Scientific Reports (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Yadu Babuji
25 papers receiving 197 citations
Peers
Comparison fields: 5 of 54
- Information Systems and Management 72
- Computer Networks and Communications 121
- Information Systems 81
- Hardware and Architecture 21
- Management Science and Operations Research 16
Countries citing papers authored by Yadu Babuji
This map shows the geographic impact of Yadu Babuji'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 Yadu Babuji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yadu Babuji more than expected).
Fields of papers citing papers by Yadu Babuji
This network shows the impact of papers produced by Yadu Babuji. 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 Yadu Babuji. The network helps show where Yadu Babuji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yadu Babuji, 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 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 16 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 19 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 19 | |
| 13 | 2019 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2019 | 8 | |
| 16 | 2019 | 12 | |
| 17 | Parsl: Scalable parallel scripting in python | 2018 | 19 |
| 18 | 2017 | 12 | |
| 19 | 2017 | 3 | |
| 20 | 2016 | 2 |
About Yadu Babuji
Yadu Babuji is a scholar working on Information Systems and Management, Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence and Management Science and Operations Research, having authored 27 papers that have together received 199 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (19 papers), Distributed and Parallel Computing Systems (11 papers), Advanced Data Storage Technologies (10 papers), Cloud Computing and Resource Management (6 papers), Computational Physics and Python Applications (6 papers), Machine Learning in Materials Science (4 papers), Data Quality and Management (4 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Information Systems and Management (72 citations), Computer Networks and Communications (121 citations), Information Systems (81 citations), Hardware and Architecture (21 citations) and Management Science and Operations Research (16 citations). Yadu Babuji has collaborated with scholars based in United States, China and France. Frequent co-authors include Kyle Chard, Ian Foster, Ryan Chard, Zhuozhao Li, Daniel S. Katz, Anna Woodard, Ben Blaiszik, Logan Ward, Justin M. Wozniak and Tyler J. Skluzacek. Their work appears in journals such as Future Generation Computer Systems, Scientific Reports, IEEE Transactions on Parallel and Distributed Systems, The International Journal of High Performance Computing Applications and Journal of Parallel and Distributed 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.