Siuli Das

526 total citations
23 papers, 388 citations indexed

About

Siuli Das is a scholar working on Biomedical Engineering, Analytical Chemistry and Molecular Biology. According to data from OpenAlex, Siuli Das has authored 23 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 6 papers in Analytical Chemistry and 4 papers in Molecular Biology. Recurrent topics in Siuli Das's work include Advanced Chemical Sensor Technologies (10 papers), Spectroscopy and Chemometric Analyses (6 papers) and Identification and Quantification in Food (4 papers). Siuli Das is often cited by papers focused on Advanced Chemical Sensor Technologies (10 papers), Spectroscopy and Chemometric Analyses (6 papers) and Identification and Quantification in Food (4 papers). Siuli Das collaborates with scholars based in India and Nigeria. Siuli Das's co-authors include Bhaswati Goswami, Karabi Biswas, Sushant N. Pawar, Hemanta Naskar, Subhashree Sahoo and Shubham Choudhury and has published in prestigious journals such as IEEE Transactions on Electron Devices, Sensors and Actuators A Physical and ISA Transactions.

In The Last Decade

Siuli Das

21 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siuli Das India 7 194 148 109 92 63 23 388
Bhaswati Goswami India 11 208 1.1× 198 1.3× 136 1.2× 147 1.6× 54 0.9× 41 571
A. Turó Spain 16 225 1.2× 35 0.2× 149 1.4× 33 0.4× 64 1.0× 55 778
Liping Gao China 9 202 1.0× 12 0.1× 151 1.4× 51 0.6× 93 1.5× 36 509
Ziyang Li China 12 224 1.2× 14 0.1× 49 0.4× 34 0.4× 99 1.6× 29 456
Arunangshu Ghosh India 14 384 2.0× 25 0.2× 115 1.1× 45 0.5× 137 2.2× 39 549
Jingxiang Liu China 17 39 0.2× 231 1.6× 36 0.3× 50 0.5× 96 1.5× 52 558
Zhiyuan Gong China 11 91 0.5× 20 0.1× 58 0.5× 80 0.9× 33 0.5× 27 406
Shaohua Zhang China 11 74 0.4× 16 0.1× 128 1.2× 22 0.2× 45 0.7× 29 452
Jorge Luis Camas‐Anzueto Mexico 13 67 0.3× 59 0.4× 134 1.2× 48 0.5× 20 0.3× 50 453
M.J. García Spain 10 66 0.3× 22 0.1× 85 0.8× 14 0.2× 41 0.7× 21 437

Countries citing papers authored by Siuli Das

Since Specialization
Citations

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

Fields of papers citing papers by Siuli Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siuli Das

This figure shows the co-authorship network connecting the top 25 collaborators of Siuli Das. A scholar is included among the top collaborators of Siuli Das 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 Siuli Das. Siuli Das 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
1.
Das, Siuli, et al.. (2022). Classification of Diabetes using Machine Learning. 1–6. 2 indexed citations
2.
Das, Siuli, et al.. (2021). Characterisation of cucumber genotypes through seed morphological characters. Journal of Pharmacognosy and Phytochemistry. 10(1). 2158–2161.
3.
Das, Siuli, et al.. (2021). Integration of Machine Learning and IoT System for Monitoring Different Parameters and Optimizing farming. 2021 International Conference on Intelligent Technologies (CONIT). 1–5. 2 indexed citations
4.
Pawar, Sushant N., et al.. (2020). Design and Development of Temperature Control Loop of Hair Dryer Using Arduino. 61–64. 3 indexed citations
5.
Naskar, Hemanta & Siuli Das. (2020). Design and Development of a Low-Cost Milk Analyzer. Sensor Letters. 18(3). 194–199.
8.
Das, Siuli, Bhaswati Goswami, & Karabi Biswas. (2016). Milk Adulteration and Detection: A Review. Sensor Letters. 14(1). 4–18. 59 indexed citations
9.
Das, Siuli, et al.. (2015). Design of Room Cooler using Fuzzy Logic Control System. 20–23. 3 indexed citations
10.
Das, Siuli, et al.. (2014). A low cost instrumentation system to analyze different types of milk adulteration. ISA Transactions. 56. 268–275. 31 indexed citations
11.
13.
Das, Siuli, et al.. (2011). Design of a Low-Cost ‘Constant Phase Angle’ Based Sensing System to Detect Natural Milk and ‘Synthetic-Milk’ Reconstructed from ‘Liquid-Whey’. 307–311. 3 indexed citations
14.
Das, Siuli, et al.. (2011). Fabrication of a Fractional Order Capacitor With Desired Specifications: A Study on Process Identification and Characterization. IEEE Transactions on Electron Devices. 58(11). 4067–4073. 150 indexed citations
16.
Das, Siuli, et al.. (2011). Performance study of a ‘constant phase angle based’ impedance sensor to detect milk adulteration. Sensors and Actuators A Physical. 167(2). 273–278. 69 indexed citations
17.
Das, Siuli, et al.. (2010). ASSESSMENT OF GENETIC DIVERSITY AMONG FINGER MILLET GENOTYPES USING RAPD MARKERS. 44(2). 112–118. 6 indexed citations
19.
20.
Das, Siuli. (1994). The importance of delayed neutrons in nuclear research—A review. Progress in Nuclear Energy. 28(3). 209–264. 6 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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