Arun Jana

1.5k total citations
22 papers, 1.1k citations indexed

About

Arun Jana is a scholar working on Biomedical Engineering, Analytical Chemistry and Process Chemistry and Technology. According to data from OpenAlex, Arun Jana has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 13 papers in Analytical Chemistry and 4 papers in Process Chemistry and Technology. Recurrent topics in Arun Jana's work include Advanced Chemical Sensor Technologies (20 papers), Spectroscopy and Chemometric Analyses (13 papers) and Analytical Chemistry and Chromatography (4 papers). Arun Jana is often cited by papers focused on Advanced Chemical Sensor Technologies (20 papers), Spectroscopy and Chemometric Analyses (13 papers) and Analytical Chemistry and Chromatography (4 papers). Arun Jana collaborates with scholars based in India, Russia and United States. Arun Jana's co-authors include Rajib Bandyopadhyay, Nabarun Bhattacharyya, Bipan Tudu, Manabendra Bhuyan, Devdulal Ghosh, Sharvari Deshmukh, R.A. Pandey, Devanita Ghosh, Pradip Tamuly and Runu Banerjee Roy and has published in prestigious journals such as Scientific Reports, Atmospheric Environment and Analytica Chimica Acta.

In The Last Decade

Arun Jana

21 papers receiving 1.1k citations

Peers

Arun Jana

EEE

SPECT

Huichun Yu China

Runu Banerjee Roy India

Nabarun Bhattacharyya India

Hamed Karami Iran

Xianqiao Hu China

Miguel Peris Spain

Pradip Tamuly India

Joshua Harrington Aheto China

M. Falasconi Italy

Juan Manuel Gutiérrez Mexico

Huichun Yu China

Arun Jana

599 ×0.7

433 ×1.2

128 ×0.6

EEE

101 ×0.5

144 ×0.8

SPECT

Citations per year, relative to Arun Jana Arun Jana (= 1×) peers Huichun Yu

Countries citing papers authored by Arun Jana

Since Specialization

Citations

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

Fields of papers citing papers by Arun Jana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Jana

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Jana. A scholar is included among the top collaborators of Arun Jana 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 Arun Jana. Arun Jana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fayaz, Ufaq, Syed Zameer Hussain, Bazila Naseer, et al.. (2024). Flavor profiling and gene expression studies of indigenous aromatic rice variety (Mushk Budiji) grown at different altitudes of Highland Himalayan regions. Scientific Reports. 14(1). 1010–1010. 4 indexed citations

Tudu, Bipan, et al.. (2019). FT-NIR spectroscopy coupled with multivariate analysis for detection of starch adulteration in turmeric powder. Food Additives & Contaminants Part A. 36(6). 863–875. 60 indexed citations

Deshmukh, Sharvari, Rajib Bandyopadhyay, Nabarun Bhattacharyya, R.A. Pandey, & Arun Jana. (2015). Application of electronic nose for industrial odors and gaseous emissions measurement and monitoring – An overview. Talanta. 144. 329–340. 166 indexed citations

Jana, Arun, Nabarun Bhattacharyya, Rajib Bandyopadhyay, et al.. (2015). Fragrance Measurement of Scented Rice using Electronic Nose. International Journal on Smart Sensing and Intelligent Systems. 8(3). 1730–1747. 3 indexed citations

Deshmukh, Sharvari, Arun Jana, Rajib Bandyopadhyay, et al.. (2014). Calibration transfer between electronic nose systems for rapid In situ measurement of pulp and paper industry emissions. Analytica Chimica Acta. 841. 58–67. 44 indexed citations

Deshmukh, Sharvari, Arun Jana, Nabarun Bhattacharyya, Rajib Bandyopadhyay, & R.A. Pandey. (2013). Quantitative determination of pulp and paper industry emissions and associated odor intensity in methyl mercaptan equivalent using electronic nose. Atmospheric Environment. 82. 401–409. 46 indexed citations

Deshmukh, Sharvari, R.A. Pandey, Arun Jana, Nabarun Bhattacharyya, & Rajib Bandyopadhyay. (2012). P2.9.11 Monitoring of Obnoxious Odorants Generated from Pulp and Paper Industry using Electronic Nose. Proceedings IMCS 2012. 1727–1730. 1 indexed citations

Roy, Runu Banerjee, Bipan Tudu, Laxmi Shaw, et al.. (2012). Instrumental testing of tea by combining the responses of electronic nose and tongue. Journal of Food Engineering. 110(3). 356–363. 109 indexed citations

Jana, Arun, Rajib Bandyopadhyay, Bipan Tudu, et al.. (2011). Classification of aromatic and non-aromatic rice using electronic nose and artificial neural network. 291–294. 10 indexed citations

10.

Tudu, Bipan, et al.. (2010). Comparison of multivariate preprocessing techniques as applied to electronic tongue based pattern classification for black tea. Analytica Chimica Acta. 675(1). 8–15. 48 indexed citations

11.

Tudu, Bipan, Paramartha Dutta, Arun Jana, et al.. (2009). Classification of Black Tea Taste and Correlation With Tea Taster's Mark Using Voltammetric Electronic Tongue. IEEE Transactions on Instrumentation and Measurement. 59(8). 2230–2239. 95 indexed citations

12.

Tudu, Bipan, et al.. (2009). Electronic nose for black tea quality evaluation by an incremental RBF network. Sensors and Actuators B Chemical. 138(1). 90–95. 89 indexed citations

13.

Tudu, Bipan, Bikram Kumar Das, Nabarun Bhattacharyya, et al.. (2009). Towards Versatile Electronic Nose Pattern Classifier for Black Tea Quality Evaluation: An Incremental Fuzzy Approach. IEEE Transactions on Instrumentation and Measurement. 58(9). 3069–3078. 45 indexed citations

14.

Bhattacharyya, Nabarun, et al.. (2008). Incremental PNN classifier for a versatile electronic nose. 242–247. 11 indexed citations

15.

Bhattacharyya, Nabarun, Rajib Bandyopadhyay, Manabendra Bhuyan, et al.. (2008). Electronic Nose for Black Tea Classification and Correlation of Measurements With “Tea Taster” Marks. IEEE Transactions on Instrumentation and Measurement. 57(7). 1313–1321. 131 indexed citations

16.

Tudu, Bipan, Nabarun Bhattacharyya, Arun Jana, Devdulal Ghosh, & Rajib Bandyopadhyay. (2007). Self-Organizing Map Based Classification of Smell Stages of Black Tea Fermentation Process Using Electronic Nose.. Indian International Conference on Artificial Intelligence. 37(3). 1626–1635.

17.

Tudu, Bipan, Barun K. Das, Nabarun Bhattacharyya, et al.. (2007). Smell Peak Prediction During Black Tea Fermentation Process Using Time-Delay Neural Network on Electronic Nose Data. 257–260. 4 indexed citations

18.

Tudu, Bipan, et al.. (2007). Preemptive identification of optimum fermentation time for black tea using electronic nose. Sensors and Actuators B Chemical. 131(1). 110–116. 55 indexed citations

19.

Tudu, Bipan, et al.. (2007). Illumination heating and physical raking for increasing sensitivity of electronic nose measurements with black tea. Sensors and Actuators B Chemical. 131(1). 37–42. 18 indexed citations

20.

Bhattacharyya, Nabarun, Bipan Tudu, Pradip Tamuly, et al.. (2006). Detection of optimum fermentation time for black tea manufacturing using electronic nose. Sensors and Actuators B Chemical. 122(2). 627–634. 94 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.

Explore authors with similar magnitude of impact