N.N. Misra

10.2k total citations · 4 hit papers
82 papers, 7.7k citations indexed

About

N.N. Misra is a scholar working on Radiology, Nuclear Medicine and Imaging, Biotechnology and Electrical and Electronic Engineering. According to data from OpenAlex, N.N. Misra has authored 82 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Biotechnology and 23 papers in Electrical and Electronic Engineering. Recurrent topics in N.N. Misra's work include Plasma Applications and Diagnostics (50 papers), Microbial Inactivation Methods (27 papers) and Electrohydrodynamics and Fluid Dynamics (16 papers). N.N. Misra is often cited by papers focused on Plasma Applications and Diagnostics (50 papers), Microbial Inactivation Methods (27 papers) and Electrohydrodynamics and Fluid Dynamics (16 papers). N.N. Misra collaborates with scholars based in United States, Australia and Ireland. N.N. Misra's co-authors include Patrick J. Cullen, Kevin M. Keener, Paula Bourke, S.K. Pankaj, Brijesh K. Tiwari, Cheorun Jo, Annalisa Segat, Alex Martynenko, Jean-Paul Mosnier and M. S. Roopesh and has published in prestigious journals such as Journal of Hazardous Materials, Food Chemistry and Trends in Food Science & Technology.

In The Last Decade

N.N. Misra

79 papers receiving 7.5k citations

Hit Papers

IoT, Big Data, and Artificial Int... 2011 2026 2016 2021 2020 2011 2013 2016 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
N.N. Misra United States 46 3.6k 2.0k 2.0k 1.4k 1.3k 82 7.7k
Kevin M. Keener United States 43 3.9k 1.1× 1.4k 0.7× 2.2k 1.1× 1.4k 1.0× 1.2k 0.9× 118 6.8k
Jun‐Hu Cheng China 60 1.5k 0.4× 2.7k 1.3× 1.4k 0.7× 811 0.6× 1.3k 1.1× 208 10.6k
Vasilis Valdramidis Malta 36 876 0.2× 1.9k 0.9× 2.2k 1.1× 503 0.4× 749 0.6× 140 5.1k
Fabiano A.N. Fernandes Brazil 55 1.1k 0.3× 4.0k 2.0× 2.6k 1.3× 410 0.3× 1.7k 1.3× 255 9.5k
Anjineyulu Kothakota India 40 819 0.2× 1.7k 0.8× 1.0k 0.5× 433 0.3× 1.3k 1.0× 110 4.7k
Mohsen Gavahian Taiwan 41 598 0.2× 2.3k 1.1× 1.2k 0.6× 202 0.1× 1.2k 1.0× 150 4.8k
İsmail Hakkı Boyacı Türkiye 45 425 0.1× 1.4k 0.7× 587 0.3× 661 0.5× 888 0.7× 212 8.5k
Pietro Rocculi Italy 38 642 0.2× 1.9k 0.9× 1.1k 0.5× 202 0.1× 1.6k 1.3× 154 5.7k
R. Pandiselvam India 46 394 0.1× 3.1k 1.5× 1.2k 0.6× 189 0.1× 2.1k 1.6× 312 7.1k
Anet ­Režek ­Jambrak Croatia 46 399 0.1× 4.2k 2.1× 1.7k 0.9× 217 0.2× 1.3k 1.1× 153 7.7k

Countries citing papers authored by N.N. Misra

Since Specialization
Citations

This map shows the geographic impact of N.N. Misra'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 N.N. Misra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.N. Misra more than expected).

Fields of papers citing papers by N.N. Misra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.N. Misra. 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 N.N. Misra. The network helps show where N.N. Misra may publish in the future.

Co-authorship network of co-authors of N.N. Misra

This figure shows the co-authorship network connecting the top 25 collaborators of N.N. Misra. A scholar is included among the top collaborators of N.N. Misra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N.N. Misra. N.N. Misra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Zhang, Sitian, Nandika Bandara, Thava Vasanthan, et al.. (2025). Effects of plasma activated water on fava bean protein isolate functionality and 3D printability. Sustainable Food Technology. 4(1). 578–592.
3.
Pankaj, S.K., N.N. Misra, Khalid J. Alzahrani, Abdulhakeem S. Alamri, & Charis M. Galanakis. (2025). Cold Plasma Treatment of Orange Juice Using Multipin‐Plane Electrical Discharge. Journal of Food Process Engineering. 48(3). 2 indexed citations
4.
Alzahrani, Khalid J., et al.. (2024). Lowering added sugar and increasing fibre in croissants using short-chain fructooligosaccharides (sc-FOS). Food Hydrocolloids. 150. 109761–109761. 6 indexed citations
5.
Misra, N.N., et al.. (2024). Design and construction of a continuous industrial scale cold plasma equipment for fresh produce industry. Innovative Food Science & Emerging Technologies. 97. 103840–103840. 6 indexed citations
6.
Misra, N.N., et al.. (2024). Design of systems for plasma activated water (PAW) for agri-food applications. Journal of Physics D Applied Physics. 57(49). 493003–493003. 6 indexed citations
7.
Gavahian, Mohsen, Chaitanya Sarangapani, & N.N. Misra. (2021). Cold plasma for mitigating agrochemical and pesticide residue in food and water: Similarities with ozone and ultraviolet technologies. Food Research International. 141. 110138–110138. 63 indexed citations
8.
Misra, N.N., et al.. (2020). Drying of cannabis—state of the practices and future needs. Drying Technology. 39(14). 2055–2064. 36 indexed citations
9.
Feizollahi, Ehsan, N.N. Misra, & M. S. Roopesh. (2020). Factors influencing the antimicrobial efficacy of Dielectric Barrier Discharge (DBD) Atmospheric Cold Plasma (ACP) in food processing applications. Critical Reviews in Food Science and Nutrition. 61(4). 666–689. 159 indexed citations
11.
Mahnot, Nikhil Kumar, et al.. (2020). In-package cold plasma decontamination of fresh-cut carrots: microbial and quality aspects. Journal of Physics D Applied Physics. 53(15). 154002–154002. 62 indexed citations
12.
Misra, N.N., Yash Dixit, Ahmad Al-Mallahi, et al.. (2020). IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry. IEEE Internet of Things Journal. 9(9). 6305–6324. 511 indexed citations breakdown →
13.
Martynenko, Alex & N.N. Misra. (2019). Machine learning in drying. Drying Technology. 38(5-6). 596–609. 64 indexed citations
14.
Mahnot, Nikhil Kumar, Charu Lata Mahanta, Kevin M. Keener, & N.N. Misra. (2019). Strategy to achieve a 5-log Salmonella inactivation in tender coconut water using high voltage atmospheric cold plasma (HVACP). Food Chemistry. 284. 303–311. 62 indexed citations
15.
Misra, N.N., et al.. (2018). A microscopic computer vision algorithm for autonomous bubble detection in aerated complex liquids. Journal of Food Engineering. 238. 54–60. 6 indexed citations
16.
Misra, N.N., Barun Yadav, M. S. Roopesh, & Cheorun Jo. (2018). Cold Plasma for Effective Fungal and Mycotoxin Control in Foods: Mechanisms, Inactivation Effects, and Applications. Comprehensive Reviews in Food Science and Food Safety. 18(1). 106–120. 261 indexed citations
17.
Misra, N.N., Alex Martynenko, Farid Chemat, et al.. (2017). Thermodynamics, transport phenomena, and electrochemistry of external field-assisted nonthermal food technologies. Critical Reviews in Food Science and Nutrition. 58(11). 1832–1863. 118 indexed citations
18.
Misra, N.N., et al.. (2017). Microbial inactivation and evaluation of furan formation in high hydrostatic pressure (HHP) treated vegetable-based infant food. Food Research International. 101. 17–23. 22 indexed citations
19.
Misra, N.N., Mohamed Koubaa, Shahin Roohinejad, et al.. (2017). Landmarks in the historical development of twenty first century food processing technologies. Food Research International. 97. 318–339. 200 indexed citations
20.
Chapwanya, Michael & N.N. Misra. (2014). A mathematical model of meat cooking based on polymer–solvent analogy. Applied Mathematical Modelling. 39(14). 4033–4043. 10 indexed citations

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.

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