Nitin Kumar
Impact in
-
- Emotion and Mood Recognition
- Food Science top 5%
- Proteins in Food Systems
- Microencapsulation and Drying Processes
Papers in
- Food Science 16
- Microencapsulation and Drying Processes 3
- Essential Oils and Antimicrobial Activity 3
- Probiotics and Fermented Foods 3
- Proteins in Food Systems 3
- Co-authors
- Shyamanta M. Hazarika (1 shared paper)K. Sreenivasa Rao (1 shared paper)Shashidhar G. Koolagudi (1 shared paper)Pramod K. Prabhakar (5 shared papers)Santanu Malakar (3 shared papers)Anand Kishore (3 shared papers)Jatindra K. Sahu (3 shared papers)Dinkar B. Kamble (1 shared paper)
In The Last Decade
Nitin Kumar
25 papers receiving 418 citations
Peers
Comparison fields: 5 of 77
- Experimental and Cognitive Psychology 123
- Food Science 152
- Biochemistry 34
- Nutrition and Dietetics 76
- Cognitive Neuroscience 92
Countries citing papers authored by Nitin Kumar
This map shows the geographic impact of Nitin 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 Nitin Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitin Kumar more than expected).
Fields of papers citing papers by Nitin Kumar
This network shows the impact of papers produced by Nitin 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 Nitin Kumar. The network helps show where Nitin Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Nitin 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 111 | |
| 2 | 2011 | 49 | |
| 3 | 2012 | 43 | |
| 4 | 2019 | 42 | |
| 5 | 2023 | 36 | |
| 6 | 2022 | 29 | |
| 7 | 2022 | 21 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2014 | 11 | |
| 12 | 2016 | 8 | |
| 13 | 2016 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2015 | 5 | |
| 18 | 2014 | 4 | |
| 19 | 2021 | 2 | |
| 20 | Optimum design of high concentration fly ash slurry disposal pipeline | 2013 | 2 |
About Nitin Kumar
Nitin Kumar is a scholar working on Food Science, Nutrition and Dietetics, Plant Science, Molecular Biology and Experimental and Cognitive Psychology, having authored 27 papers that have together received 430 indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (3 papers), Microencapsulation and Drying Processes (3 papers), Microbial Inactivation Methods (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Emotion and Mood Recognition (3 papers), Probiotics and Fermented Foods (3 papers), Proteins in Food Systems (3 papers) and Postharvest Quality and Shelf Life Management (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (123 citations), Food Science (152 citations), Biochemistry (34 citations), Nutrition and Dietetics (76 citations) and Cognitive Neuroscience (92 citations). Nitin Kumar has collaborated with scholars based in India, Brazil and Pakistan. Frequent co-authors include Shyamanta M. Hazarika, K. Sreenivasa Rao, Shashidhar G. Koolagudi, Pramod K. Prabhakar, Santanu Malakar, Anand Kishore, Jatindra K. Sahu, Dinkar B. Kamble, Ashutosh Upadhyay and K. Srinivasa Rao. Their work appears in journals such as Journal of Food Process Engineering, Journal of Food Processing and Preservation, Critical Reviews in Food Science and Nutrition, Brazilian Archives of Biology and Technology and Current Pharmaceutical Biotechnology.
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.