Abhishek Dubey
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- Distributed systems and fault tolerance 29
- Software System Performance and Reliability 29
- IoT and Edge/Fog Computing 19
- Information Systems top 1%
- Software top 5%
- Transportation top 2%
- Transportation Planning and Optimization 26
- Hardware and Architecture top 5%
- Real-Time Systems Scheduling 25
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- Traffic Prediction and Management Techniques 34
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- Smart Grid Security and Resilience 27
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- Advanced Software Engineering Methodologies 22
- Co-authors
- Aniruddha GokhaleNilabja RoyGábor KarsaiÁron LászkaNagabhushan MahadevanXenofon KoutsoukosYuche ChenJules White
- Journals
- SHILAP Revista de lepidopterología (3 papers)Scientific Reports (1 paper)IEEE Transactions on Industrial Electronics (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Abhishek Dubey
216 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Computer Networks and Communications 918
- Information Systems 683
- Software 113
- Transportation 182
- Hardware and Architecture 172
Countries citing papers authored by Abhishek Dubey
This map shows the geographic impact of Abhishek Dubey'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 Abhishek Dubey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek Dubey more than expected).
Fields of papers citing papers by Abhishek Dubey
This network shows the impact of papers produced by Abhishek Dubey. 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 Abhishek Dubey. The network helps show where Abhishek Dubey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abhishek Dubey, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 40 | |
| 10 | 2023 | 2 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 34 | |
| 14 | 2018 | 9 | |
| 15 | A Data-driven Prognostic Architecture for Online Monitoring of Hard Disks Using Deep LSTM Networks. | 2018 | 1 |
| 16 | 2018 | 6 | |
| 17 | 2017 | 14 | |
| 18 | 2016 | 1 | |
| 19 | 2015 | 2 | |
| 20 | A Deliberative Reasoner for Model-Based Software Health Management | 2012 | 4 |
About Abhishek Dubey
Abhishek Dubey is a scholar working on Software, Transportation and Hardware and Architecture, having authored 231 papers that have together received 2.2k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (34 papers), Distributed systems and fault tolerance (29 papers), Software System Performance and Reliability (29 papers), Smart Grid Security and Resilience (27 papers), Transportation Planning and Optimization (26 papers), Real-Time Systems Scheduling (25 papers), Advanced Software Engineering Methodologies (22 papers) and IoT and Edge/Fog Computing (19 papers). The work is most often cited by research in Computer Networks and Communications (918 citations), Information Systems (683 citations) and Software (113 citations). Abhishek Dubey has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Aniruddha Gokhale, Nilabja Roy, Gábor Karsai, Áron Lászka, Nagabhushan Mahadevan, Xenofon Koutsoukos, Yuche Chen, Jules White, Ruixiao Sun and Marisol García‐Valls. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Industrial Electronics.
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.