Jitendra Kumar
Impact in
- Information Systems top 0.5%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
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- IoT and Edge/Fog Computing
- Software System Performance and Reliability
Papers in
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- Cloud Computing and Resource Management 23
- Recommender Systems and Techniques 6
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- Data Stream Mining Techniques 6
- Machine Learning and ELM 4
- Anomaly Detection Techniques and Applications 4
- Co-authors
- Ashutosh Kumar Singh (26 shared papers)Rajkumar Buyya (3 shared papers)Deepika Saxena (7 shared papers)Vrinda Gupta (1 shared paper)Anand Mohan (2 shared papers)Stefan Schmid (1 shared paper)Ishu Gupta (2 shared papers)Xiaoqing Wen (1 shared paper)
In The Last Decade
Jitendra Kumar
75 papers receiving 1.4k citations
Jitendra Kumar's Hit Papers
Peers
Comparison fields: 5 of 116
- Information Systems 788
- Computer Networks and Communications 599
- Building and Construction 213
- Artificial Intelligence 424
- Management Science and Operations Research 114
Countries citing papers authored by Jitendra Kumar
This map shows the geographic impact of Jitendra Kumar'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 Jitendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jitendra Kumar more than expected).
Fields of papers citing papers by Jitendra Kumar
This network shows the impact of papers produced by Jitendra Kumar. 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 Jitendra Kumar. The network helps show where Jitendra Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Jitendra Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Long Short Term Memory Recurrent Neural Network (LSTM-RNN) Based Workload Forecasting Model For Cloud Datacenters Hit paper breakdown → | 2018 | 275 |
| 2 | 2017 | 201 | |
| 3 | 2020 | 74 | |
| 4 | 2021 | 67 | |
| 5 | 2021 | 64 | |
| 6 | 2020 | 59 | |
| 7 | 2023 | 56 | |
| 8 | 2020 | 48 | |
| 9 | 2020 | 43 | |
| 10 | 2019 | 42 | |
| 11 | 2019 | 33 | |
| 12 | 2019 | 27 | |
| 13 | 2022 | 24 | |
| 14 | 2022 | 24 | |
| 15 | 2016 | 24 | |
| 16 | 2019 | 20 | |
| 17 | 2010 | 20 | |
| 18 | 2013 | 19 | |
| 19 | 2021 | 17 | |
| 20 | 2020 | 17 |
About Jitendra Kumar
Jitendra Kumar is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (23 papers), IoT and Edge/Fog Computing (12 papers), Recommender Systems and Techniques (6 papers), Traffic Prediction and Management Techniques (6 papers), Data Stream Mining Techniques (6 papers), Parallel Computing and Optimization Techniques (5 papers), Machine Learning and ELM (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Information Systems (788 citations), Computer Networks and Communications (599 citations), Building and Construction (213 citations), Artificial Intelligence (424 citations) and Management Science and Operations Research (114 citations). Jitendra Kumar has collaborated with scholars based in India, Japan and Taiwan. Frequent co-authors include Ashutosh Kumar Singh, Rajkumar Buyya, Deepika Saxena, Vrinda Gupta, Anand Mohan, Stefan Schmid, Ishu Gupta, Xiaoqing Wen, B. S. Bindhumadhava and Balaji Rajendran. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Computing, ETRI Journal, Neurocomputing and Information Sciences.
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.