Kapil Wankhade

455 total citations
19 papers, 311 citations indexed

About

Kapil Wankhade is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Kapil Wankhade has authored 19 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 7 papers in Signal Processing. Recurrent topics in Kapil Wankhade's work include Anomaly Detection Techniques and Applications (12 papers), Data Stream Mining Techniques (10 papers) and Network Security and Intrusion Detection (7 papers). Kapil Wankhade is often cited by papers focused on Anomaly Detection Techniques and Applications (12 papers), Data Stream Mining Techniques (10 papers) and Network Security and Intrusion Detection (7 papers). Kapil Wankhade collaborates with scholars based in India and Nepal. Kapil Wankhade's co-authors include Snehlata Dongre, Ravindra C. Thool, Prakash S. Prasad, Vahida Attar, Pradeep K. Sinha, Vijaya R. Thool and D. K. Jain and has published in prestigious journals such as Applied Soft Computing, Knowledge and Information Systems and Evolving Systems.

In The Last Decade

Kapil Wankhade

17 papers receiving 283 citations

Peers

Kapil Wankhade
D. R. Patil India
N. G. Bhuvaneswari Amma India
Kanak Saxena India
N. Mangathayaru India
B. Muthukumar India
Raj Joshi India
M. S. Prasad Babu India
R. Subramanian India
K Sowjanya India
Gufran Ahmad Ansari India
D. R. Patil India
Kapil Wankhade
Citations per year, relative to Kapil Wankhade Kapil Wankhade (= 1×) peers D. R. Patil

Countries citing papers authored by Kapil Wankhade

Since Specialization
Citations

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

Fields of papers citing papers by Kapil Wankhade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kapil Wankhade

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

All Works

19 of 19 papers shown
1.
Wankhade, Kapil, et al.. (2025). Developing Interpretable Large Language Models for High-Stakes Decision-Making in Healthcare: Insights from an XAI Review Perspective. International Journal of Research Publication and Reviews. 6(5). 405–415.
2.
Wankhade, Kapil, et al.. (2021). A clustering and ensemble based classifier for data stream classification. Applied Soft Computing. 102. 107076–107076. 28 indexed citations
3.
Wankhade, Kapil, et al.. (2020). Data stream classification: a review. Iran Journal of Computer Science. 3(4). 239–260. 16 indexed citations
4.
Wankhade, Kapil, et al.. (2019). An ensemble clustering method for intrusion detection. International Journal of Intelligent Engineering Informatics. 7(2/3). 112–112. 1 indexed citations
5.
Wankhade, Kapil, et al.. (2019). An ensemble clustering method for intrusion detection. International Journal of Intelligent Engineering Informatics. 7(2/3). 112–112. 1 indexed citations
6.
Wankhade, Kapil, et al.. (2017). A hybrid approach for classification of rare class data. Knowledge and Information Systems. 56(1). 197–221. 5 indexed citations
7.
Wankhade, Kapil, et al.. (2014). Feature Selection Algorithm for Improving the Performance of Classification: A Survey. 5. 468–471. 13 indexed citations
8.
Wankhade, Kapil, et al.. (2013). A new feature selection algorithm for stream Data Classification. 7496. 1843–1848. 4 indexed citations
9.
10.
Wankhade, Kapil, et al.. (2013). An efficient approach for Intrusion Detection using data mining methods. 1615–1618. 17 indexed citations
11.
Wankhade, Kapil, et al.. (2013). A Survey: Approaches for Handling Evolving Data Streams. 2. 621–625. 2 indexed citations
12.
Wankhade, Kapil, et al.. (2013). An Overview of Intrusion Detection Based on Data Mining Techniques. 626–629. 17 indexed citations
13.
Wankhade, Kapil, Snehlata Dongre, & Ravindra C. Thool. (2012). New evolving ensemble classifier for handling concept drifting data streams. 657–662. 13 indexed citations
14.
Dongre, Snehlata & Kapil Wankhade. (2012). Intrusion Detection System Using New Ensemble Boosting Approach. International Journal of Modeling and Optimization. 488–492. 13 indexed citations
15.
Wankhade, Kapil & Snehlata Dongre. (2012). A New Adaptive Ensemble Boosting Classifier for Concept Drifting Stream Data. International Journal of Modeling and Optimization. 493–497. 9 indexed citations
16.
Prasad, Prakash S., et al.. (2010). A new data mining based network Intrusion Detection model. 731–735. 48 indexed citations
17.
Wankhade, Kapil & Snehlata Dongre. (2010). Data Streams Mining.
18.
Attar, Vahida, Pradeep K. Sinha, & Kapil Wankhade. (2010). A fast and light classifier for data streams. Evolving Systems. 1(3). 199–207. 13 indexed citations
19.

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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