Treena Basu

575 total citations
6 papers, 378 citations indexed

About

Treena Basu is a scholar working on Artificial Intelligence, Numerical Analysis and Health Informatics. According to data from OpenAlex, Treena Basu has authored 6 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Numerical Analysis and 2 papers in Health Informatics. Recurrent topics in Treena Basu's work include Fractional Differential Equations Solutions (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Differential Equations and Numerical Methods (2 papers). Treena Basu is often cited by papers focused on Fractional Differential Equations Solutions (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Differential Equations and Numerical Methods (2 papers). Treena Basu collaborates with scholars based in United States and Germany. Treena Basu's co-authors include Hong Wang, Ritwik Sinha, Olaf Menzer and Indranil SenGupta and has published in prestigious journals such as SIAM Journal on Scientific Computing, Mathematics and Indian Journal of Dermatology.

In The Last Decade

Treena Basu

6 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Treena Basu United States	5	181	148	81	72	59	6	378
Arjun S. Yadaw United States	8	16 0.1×	104 0.7×	14 0.2×	8 0.1×	91 1.5×	12	335
Arvind Kumar Singh India	9	145 0.8×	130 0.9×		53 0.7×	34 0.6×	53	351
Qiang Yu Australia	12	340 1.9×	208 1.4×		76 1.1×	49 0.8×	19	432
M. Pilar Velasco Spain	12	304 1.7×	102 0.7×		41 0.6×	31 0.5×	23	409
Guang-Hui Zheng China	14	315 1.7×	120 0.8×		185 2.6×	5 0.1×	35	457
Ruyun Chen China	10	169 0.9×	71 0.5×		53 0.7×	2 0.0×	36	299
Yusif S. Gasimov Azerbaijan	11	94 0.5×	64 0.4×		37 0.5×	3 0.1×	36	278
Edoardo Mainini Italy	10	75 0.4×	34 0.2×		32 0.4×	9 0.2×	29	291
Ala’a R. Al-Shamasneh Saudi Arabia	9	12 0.1×	4 0.0×	28 0.3×	3 0.0×	134 2.3×	22	271
Nazan Çağlar Türkiye	10	397 2.2×	411 2.8×		129 1.8×	3 0.1×	21	553

Countries citing papers authored by Treena Basu

Since Specialization

Citations

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

Fields of papers citing papers by Treena Basu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Treena Basu

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

All Works

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6 of 6 papers shown

1.

Basu, Treena, et al.. (2022). A Novel Implementation of Siamese Type Neural Networks in Predicting Rare Fluctuations in Financial Time Series. Risks. 10(2). 39–39. 5 indexed citations

2.

Sinha, Ritwik, et al.. (2020). Artificial intelligence: How is it changing medical sciences and its future?. Indian Journal of Dermatology. 65(5). 365–365. 136 indexed citations

3.

Basu, Treena, et al.. (2020). The ethics of machine learning in medical sciences: Where do we stand today?. Indian Journal of Dermatology. 65(5). 358–358. 21 indexed citations

4.

Basu, Treena, et al.. (2019). Predictive Models of Student College Commitment Decisions Using Machine Learning. Data. 4(2). 65–65. 24 indexed citations

5.

Basu, Treena. (2015). A Fast O(N log N) Finite Difference Method for the One-Dimensional Space-Fractional Diffusion Equation. Mathematics. 3(4). 1032–1044. 3 indexed citations

6.

Wang, Hong & Treena Basu. (2012). A Fast Finite Difference Method for Two-Dimensional Space-Fractional Diffusion Equations. SIAM Journal on Scientific Computing. 34(5). A2444–A2458. 189 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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