Bhabesh Nath

579 total citations
22 papers, 358 citations indexed

About

Bhabesh Nath is a scholar working on Information Systems, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Bhabesh Nath has authored 22 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 15 papers in Artificial Intelligence and 11 papers in Computational Theory and Mathematics. Recurrent topics in Bhabesh Nath's work include Data Mining Algorithms and Applications (20 papers), Rough Sets and Fuzzy Logic (11 papers) and Imbalanced Data Classification Techniques (8 papers). Bhabesh Nath is often cited by papers focused on Data Mining Algorithms and Applications (20 papers), Rough Sets and Fuzzy Logic (11 papers) and Imbalanced Data Classification Techniques (8 papers). Bhabesh Nath collaborates with scholars based in India. Bhabesh Nath's co-authors include Ashish Ghosh, Dhruba K. Bhattacharyya, Nazrul Hoque and Nityananda Sarma and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Applied Soft Computing.

In The Last Decade

Bhabesh Nath

22 papers receiving 337 citations

Peers

Countries citing papers authored by Bhabesh Nath

Since Specialization

Citations

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

Fields of papers citing papers by Bhabesh Nath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhabesh Nath

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Identification of adverse disease agents and risk analysis using frequent pattern mining 2021 ·Information Sciences ·(unknown), Bhabesh Nath	10
2	An Efficient Method for Mining Rare Association Rules: A Case Study on Air Pollution 2021 ·International Journal of Artificial Intelligence Tools ·(unknown), Bhabesh Nath	5
3	Itemset Representation and Mining the Rules for Huntington’s Dataset 2021 ·Emerging Science Journal ·(unknown), Bhabesh Nath	2
4	Is Single Scan based Restructuring Always a Suitable Approach to Handle Incremental Frequent Pattern Mining? 2021 ·Journal of Computer Science ·(unknown), Bhabesh Nath	2
5	ISSP-tree: An improved fast algorithm for constructing a complete prefix tree using single database scan 2021 ·Expert Systems with Applications ·(unknown), Bhabesh Nath	4
6	Incremental rare pattern based approach for identifying outliers in medical data 2019 ·Applied Soft Computing ·(unknown), Bhabesh Nath	8
7	Tree based frequent and rare pattern mining techniques: a comprehensive structural and empirical analysis 2019 ·SN Applied Sciences ·(unknown), Bhabesh Nath	2
8	Identifying risk factors for adverse diseases using dynamic rare association rule mining 2018 ·Expert Systems with Applications ·(unknown), Bhabesh Nath	57
9	Rare pattern mining: challenges and future perspectives 2018 ·Complex & Intelligent Systems ·(unknown), Bhabesh Nath	17
10	Set Representation for Itemsets in Association Rule Mining 2018 ·(unknown), Bhabesh Nath	2
11	Mining patterns from data streams: An overview 2017 ·(unknown), Bhabesh Nath	4
12	Rare association rule mining: a systematic review 2017 ·(unknown), Bhabesh Nath	3
13	Rare Association Rule Mining: A Systematic Review 2017 ·(unknown), Bhabesh Nath	3
14	Signal type detection in CRN: A hierarchical modulation classification framework using SVM and Decision tree approaches 2016 ·(unknown), Nityananda Sarma, Bhabesh Nath	2
15	Incremental association rule mining: a survey 2013 ·Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery ·Bhabesh Nath, Dhruba K. Bhattacharyya, Ashish Ghosh	41
16	A New Approach on Rare Association Rule Mining 2012 ·International Journal of Computer Applications ·Nazrul Hoque, Bhabesh Nath, Dhruba K. Bhattacharyya	7
17	Dimensionality Reduction for Association Rule Mining 2011 ·Bhabesh Nath, Dhruba K. Bhattacharyya, Ashish Ghosh	6
18	Dimesionality Reduction using Association Rule Mining 2008 ·(unknown), Bhabesh Nath	4
19	Frequency Count Based Filter for Dimensionality Reduction 2007 ·Bhabesh Nath, Dhruba K. Bhattacharyya, Ashish Ghosh	1
20	Multi-objective rule mining using genetic algorithms 2003 ·Information Sciences ·Ashish Ghosh, Bhabesh Nath	156

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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