Dharmendr Kumar
Impact in
- Materials Chemistry top 5%
- Corrosion Behavior and Inhibition
- Machine Learning in Materials Science
- Mesoporous Materials and Catalysis
- Water Science and Technology top 10%
- Minerals Flotation and Separation Techniques
- Coagulation and Flocculation Studies
- Adsorption and biosorption for pollutant removal
Papers in
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- Corrosion Behavior and Inhibition 9
- Machine Learning in Materials Science 1
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- Minerals Flotation and Separation Techniques 5
- Coagulation and Flocculation Studies 3
- Co-authors
- Beena Rai (17 shared papers)Vinay Kumar Jain (10 shared papers)Mamata Mukhopadhyay (1 shared paper)Madhu Vinjamur (1 shared paper)Pradip (2 shared papers)Sriram Goverapet Srinivasan (3 shared papers)Abhay Shankar Patra (1 shared paper)Ashok Kumar (1 shared paper)
In The Last Decade
Dharmendr Kumar
17 papers receiving 820 citations
Peers
Comparison fields: 5 of 50
- Materials Chemistry 552
- Water Science and Technology 105
- Spectroscopy 41
- Biomedical Engineering 69
- Biomaterials 17
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 16 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 | 235 | |
| 2 | 2020 | 149 | |
| 3 | 2018 | 102 | |
| 4 | 2014 | 96 | |
| 5 | 2021 | 63 | |
| 6 | 2022 | 49 | |
| 7 | 2017 | 44 | |
| 8 | 2018 | 35 | |
| 9 | 2016 | 24 | |
| 10 | 2021 | 20 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Dharmendr Kumar
Dharmendr Kumar is a scholar working on Materials Chemistry, Water Science and Technology, Spectroscopy, Electrical and Electronic Engineering and Molecular Biology, having authored 19 papers that have together received 839 indexed citations. Recurring topics across this work include Corrosion Behavior and Inhibition (9 papers), Minerals Flotation and Separation Techniques (5 papers), Coagulation and Flocculation Studies (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Electrochemical sensors and biosensors (2 papers), Surfactants and Colloidal Systems (1 paper), Machine Learning in Materials Science (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Materials Chemistry (552 citations), Water Science and Technology (105 citations), Spectroscopy (41 citations), Biomedical Engineering (69 citations) and Biomaterials (17 citations). Dharmendr Kumar has collaborated with scholars based in India and Australia. Frequent co-authors include Beena Rai, Vinay Kumar Jain, Mamata Mukhopadhyay, Madhu Vinjamur, Pradip, Sriram Goverapet Srinivasan, Abhay Shankar Patra, Ashok Kumar, Rajiv Prakash and Rakesh Kumar Gupta. Their work appears in journals such as Corrosion Science, Applied Surface Science, Minerals Engineering, npj Materials Degradation and Industrial & Engineering Chemistry Research.
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.