Aruneema Das

407 total citations
16 papers, 292 citations indexed

About

Aruneema Das is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Aruneema Das has authored 16 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistical and Nonlinear Physics, 4 papers in Cognitive Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in Aruneema Das's work include Neural dynamics and brain function (4 papers), stochastic dynamics and bifurcation (4 papers) and Advanced Chemical Sensor Technologies (3 papers). Aruneema Das is often cited by papers focused on Neural dynamics and brain function (4 papers), stochastic dynamics and bifurcation (4 papers) and Advanced Chemical Sensor Technologies (3 papers). Aruneema Das collaborates with scholars based in Australia and United Kingdom. Aruneema Das's co-authors include Ritaban Dutta, Jagannath Aryal, Nigel G. Stocks, David W. Morgan, Ahsan Morshed, JB Kirkpatrick, Evor L. Hines, Tim Gibson, N. G. Stocks and DP Johns and has published in prestigious journals such as Scientific Reports, Sensors and Actuators B Chemical and Environmental Modelling & Software.

In The Last Decade

Aruneema Das

15 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aruneema Das Australia 8 108 59 43 38 29 16 292
Abhishek Bhatt India 10 96 0.9× 22 0.4× 11 0.3× 51 1.3× 73 2.5× 37 373
Ruixue Zhao China 9 27 0.3× 30 0.5× 36 0.8× 27 0.7× 10 0.3× 36 352
Dongying Zhang China 12 63 0.6× 25 0.4× 12 0.3× 66 1.7× 93 3.2× 31 335
Jianjun Hou China 14 27 0.3× 70 1.2× 16 0.4× 24 0.6× 7 0.2× 77 719
Guoping Zhang China 11 71 0.7× 16 0.3× 14 0.3× 18 0.5× 38 1.3× 41 453
Roberto De Bonis Italy 7 50 0.5× 21 0.4× 9 0.2× 76 2.0× 49 1.7× 13 252
Zhou Guo China 11 84 0.8× 17 0.3× 7 0.2× 95 2.5× 110 3.8× 40 513
Haiye Yu China 12 66 0.6× 19 0.3× 5 0.1× 19 0.5× 29 1.0× 30 269

Countries citing papers authored by Aruneema Das

Since Specialization
Citations

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

Fields of papers citing papers by Aruneema Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aruneema Das

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

All Works

16 of 16 papers shown
1.
Johns, DP, Aruneema Das, Brett G. Toelle, et al.. (2017). Improved spirometric detection of small airway narrowing: concavity in the expiratory flow–volume curve in people aged over 40 years. International Journal of COPD. Volume 12. 3567–3577. 10 indexed citations
2.
Dutta, Ritaban, Aruneema Das, & Jagannath Aryal. (2016). Big data integration shows Australian bush-fire frequency is increasing significantly. Royal Society Open Science. 3(2). 150241–150241. 99 indexed citations
3.
Dutta, Ritaban, et al.. (2015). Interactive visual big data analytics for large area farm biosecurity monitoring: i-EKbase system. eCite Digital Repository (University of Tasmania). 1 indexed citations
4.
Das, Aruneema, et al.. (2015). Detection of oil pollution in seawater: Biosecurity prevention using electronic nose technology. 5. 98–100. 7 indexed citations
5.
Das, Aruneema, Paul Beatty, & Ritaban Dutta. (2014). Estimation of physiological body parameters from smart garment data. eCite Digital Repository (University of Tasmania). 4. 86–90. 4 indexed citations
6.
Dutta, Ritaban, et al.. (2014). Autonomous Framework for Sensor Network Quality Annotation: Maximum Probability Clustering Approach. Procedia Computer Science. 29. 2201–2207.
7.
Das, Aruneema, DP Johns, Ritaban Dutta, & E. Haydn Walters. (2014). Automated Estimation and Analysis of Lung Function Test Parameters from Spirometric Data for Respiratory Disease Diagnostics. Procedia Computer Science. 29. 2045–2054. 1 indexed citations
8.
Das, Aruneema, Ritaban Dutta, & Jagannath Aryal. (2013). A hybrid neural network based Australian wildfire prediction: a novel approach using environmental and satellite imagery. eCite Digital Repository (University of Tasmania). 1 indexed citations
9.
Dutta, Ritaban, Jagannath Aryal, Aruneema Das, & JB Kirkpatrick. (2013). Deep cognitive imaging systems enable estimation of continental-scale fire incidence from climate data. Scientific Reports. 3(1). 3188–3188. 39 indexed citations
10.
Dutta, Ritaban, et al.. (2013). Mobile application based sustainable irrigation water usage decision support system: An intelligent sensor CLOUD approach. eCite Digital Repository (University of Tasmania). 1–4. 9 indexed citations
11.
Dutta, Ritaban, et al.. (2013). Development of an intelligent environmental knowledge system for sustainable agricultural decision support. Environmental Modelling & Software. 52. 264–272. 42 indexed citations
12.
Dutta, Ritaban, et al.. (2013). Dynamic Evaluation and Visualisation of the Quality and Reliability of Sensor Data Sources. International Journal of Advanced Computer Science and Applications. 4(8). 1 indexed citations
13.
Das, Aruneema, Nigel G. Stocks, & Evor L. Hines. (2007). Enhanced coding for exponentially distributed signals using suprathreshold stochastic resonance. Communications in Nonlinear Science and Numerical Simulation. 14(1). 223–232. 10 indexed citations
14.
Das, Aruneema, et al.. (2005). Stimulus reconstruction from neural spike trains: Are conventional filters suitable for both periodic and aperiodic stimuli?. Signal Processing. 86(7). 1720–1727. 1 indexed citations
15.
Dutta, Ritaban, Aruneema Das, Nigel G. Stocks, & David W. Morgan. (2005). Stochastic resonance-based electronic nose: A novel way to classify bacteria. Sensors and Actuators B Chemical. 115(1). 17–27. 60 indexed citations
16.
Das, Aruneema, N. G. Stocks, Alexander P. Nikitin, & Evor L. Hines. (2004). QUANTIFYING STOCHASTIC RESONANCE IN A SINGLE THRESHOLD DETECTOR FOR RANDOM APERIODIC SIGNALS. Fluctuation and Noise Letters. 4(2). L247–L265. 7 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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