Dilip Kumar Sharma
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- Smart Systems and Machine Learning 11
- IoT and Edge/Fog Computing 6
- Information Systems top 2%
- Blockchain Technology Applications and Security 6
- Internet of Things and AI 6
- Cloud Data Security Solutions 4
- Nephrology top 5%
- Health Informatics top 10%
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- Multi-Criteria Decision Making 7
- Forecasting Techniques and Applications 5
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- Pain Mechanisms and Treatments 5
- Co-authors
- Kiran KaliaChetan M. ThakarSudhakar SenganK.V. Pradeep KumarVishwanath PanwarAnkit JainVinod TiwariRakesh Kumar Tekade
- Journals
- Renewable and Sustainable Energy Reviews (1 paper)Chemical Communications (1 paper)Environmental Pollution (1 paper)
- Partner nations
- IndiaIraqUnited Arab Emirates
In The Last Decade
Dilip Kumar Sharma
96 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Computer Networks and Communications 467
- Information Systems 419
- Nephrology 89
- Health Informatics 16
- Management Science and Operations Research 130
Countries citing papers authored by Dilip Kumar Sharma
This map shows the geographic impact of Dilip Kumar Sharma'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 Dilip Kumar Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dilip Kumar Sharma more than expected).
Fields of papers citing papers by Dilip Kumar Sharma
This network shows the impact of papers produced by Dilip Kumar Sharma. 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 Dilip Kumar Sharma. The network helps show where Dilip Kumar Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dilip Kumar Sharma, 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 | 2025 | 1 | |
| 3 | 2025 | 6 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 94 | |
| 16 | 2019 | 34 | |
| 17 | 2018 | 71 | |
| 18 | 2017 | 30 | |
| 19 | Incidence and histopathological study of Xanthomonas axonopodis pv. vesicatoria in tomato (Lycopersicon esculentum Mill.) seeds | 2014 | 2 |
| 20 | 2013 | 2 |
About Dilip Kumar Sharma
Dilip Kumar Sharma is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Information Systems, having authored 105 papers that have together received 2.0k indexed citations. Recurring topics across this work include Smart Systems and Machine Learning (11 papers), Multi-Criteria Decision Making (7 papers), IoT and Edge/Fog Computing (6 papers), Blockchain Technology Applications and Security (6 papers), Internet of Things and AI (6 papers), Pain Mechanisms and Treatments (5 papers), Forecasting Techniques and Applications (5 papers) and Cloud Data Security Solutions (4 papers). The work is most often cited by research in Computer Networks and Communications (467 citations), Information Systems (419 citations) and Nephrology (89 citations). Dilip Kumar Sharma has collaborated with scholars based in India, Iraq and United Arab Emirates. Frequent co-authors include Kiran Kalia, Chetan M. Thakar, Sudhakar Sengan, K.V. Pradeep Kumar, Vishwanath Panwar, Ankit Jain, Vinod Tiwari, Rakesh Kumar Tekade, Pallab Bhattacharya and Vinod K. Tiwari. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Chemical Communications and Environmental Pollution.
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.