Arka Daw

864 total citations
5 papers, 7 citations indexed

About

Arka Daw is a scholar working on Environmental Engineering, Condensed Matter Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Arka Daw has authored 5 papers receiving a total of 7 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Environmental Engineering, 1 paper in Condensed Matter Physics and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Arka Daw's work include Microfluidic and Bio-sensing Technologies (1 paper), Atmospheric and Environmental Gas Dynamics (1 paper) and Air Quality Monitoring and Forecasting (1 paper). Arka Daw is often cited by papers focused on Microfluidic and Bio-sensing Technologies (1 paper), Atmospheric and Environmental Gas Dynamics (1 paper) and Air Quality Monitoring and Forecasting (1 paper). Arka Daw collaborates with scholars based in United States and Czechia. Arka Daw's co-authors include Anuj Karpatne, Kyongmin Yeo, Bahareh Behkam, Levente J. Klein, Abinash Padhi, Tanya Berger‐Wolf, Amrinder S. Nain, Wei‐Lun Chao, Henry L. Bart and Farid Alisafaei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and VTechWorks (Virginia Tech).

In The Last Decade

Arka Daw

3 papers receiving 7 citations

Peers

Arka Daw
L. Xia China
Z.L. Xue China
Jessica Turner United States
Yukun Zha Australia
Z. B. Li China
R. S. Shi China
Y. R. Hou China
L. Xia China
Arka Daw
Citations per year, relative to Arka Daw Arka Daw (= 1×) peers L. Xia

Countries citing papers authored by Arka Daw

Since Specialization
Citations

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

Fields of papers citing papers by Arka Daw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arka Daw

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

All Works

5 of 5 papers shown
1.
Daw, Arka, Xiaojun Wang, Tanya Berger‐Wolf, et al.. (2025). Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images. 24275–24285.
2.
Padhi, Abinash, Arka Daw, Milan Pour, et al.. (2025). Deep learning reveals how cells pull, buckle, and navigate fibrous environments. Proceedings of the National Academy of Sciences. 122(47). e2424047122–e2424047122.
4.
Daw, Arka, Kyongmin Yeo, Anuj Karpatne, & Levente J. Klein. (2022). Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring. 2022 IEEE International Conference on Big Data (Big Data). 4835–4841. 3 indexed citations
5.
Daw, Arka & Anuj Karpatne. (2019). Physics-aware Architecture of Neural Networks for Uncertainty Quantification: Application in Lake Temperature Modeling. VTechWorks (Virginia Tech). 1 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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