Dharmendr Kumar
Impact in
- Metals and Alloys top 2%
- Hydrogen embrittlement and corrosion behaviors in metals
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- Concrete Corrosion and Durability
Papers in
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- Corrosion Behavior and Inhibition 9
- Machine Learning in Materials Science 2
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- Concrete Corrosion and Durability 6
- Co-authors
- Beena Rai (17 shared papers)Vinay Jain (13 shared papers)Mamata Mukhopadhyay (1 shared paper)Madhu Vinjamur (1 shared paper)Pradip (2 shared papers)K. Joshi (1 shared paper)Sriram Goverapet Srinivasan (3 shared papers)Debadi Chakraborty (1 shared paper)
In The Last Decade
Dharmendr Kumar
16 papers receiving 766 citations
Peers
Comparison fields: 5 of 73
- Metals and Alloys 203
- Civil and Structural Engineering 316
- Materials Chemistry 551
- Electrochemistry 46
- Water Science and Technology 98
Countries citing papers authored by Dharmendr Kumar
This map shows the geographic impact of Dharmendr 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 Dharmendr Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dharmendr Kumar more than expected).
Fields of papers citing papers by Dharmendr Kumar
This network shows the impact of papers produced by Dharmendr 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 Dharmendr Kumar. The network helps show where Dharmendr Kumar may publish in the future.
Co-authors
The 18 scholars most cited alongside Dharmendr 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 219 | |
| 2 | 2020 | 142 | |
| 3 | 2018 | 95 | |
| 4 | 2014 | 94 | |
| 5 | 2021 | 60 | |
| 6 | 2022 | 46 | |
| 7 | 2017 | 41 | |
| 8 | 2018 | 34 | |
| 9 | 2016 | 21 | |
| 10 | 2021 | 20 | |
| 11 | 2024 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Dharmendr Kumar
Dharmendr Kumar is a scholar working on Materials Chemistry, Civil and Structural Engineering, Water Science and Technology, Electrical and Electronic Engineering and Organic Chemistry, having authored 19 papers that have together received 786 indexed citations. Recurring topics across this work include Corrosion Behavior and Inhibition (9 papers), Concrete Corrosion and Durability (6 papers), Minerals Flotation and Separation Techniques (5 papers), Hydrogen embrittlement and corrosion behaviors in metals (4 papers), Inorganic and Organometallic Chemistry (2 papers), Molecular Junctions and Nanostructures (2 papers), Iron oxide chemistry and applications (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Metals and Alloys (203 citations), Civil and Structural Engineering (316 citations), Materials Chemistry (551 citations), Electrochemistry (46 citations) and Water Science and Technology (98 citations). Dharmendr Kumar has collaborated with scholars based in India and Australia. Frequent co-authors include Beena Rai, Vinay Jain, Mamata Mukhopadhyay, Madhu Vinjamur, Pradip, K. Joshi, Sriram Goverapet Srinivasan, Debadi Chakraborty, Abhay Shankar Patra and Ashok Kumar. Their work appears in journals such as Corrosion Science, Applied Surface Science, Minerals Engineering, npj Materials Degradation and Journal of Molecular Modeling.
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.