Rakhi Garg

411 total citations
34 papers, 247 citations indexed

About

Rakhi Garg is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Rakhi Garg has authored 34 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 12 papers in Computer Networks and Communications and 12 papers in Artificial Intelligence. Recurrent topics in Rakhi Garg's work include Data Mining Algorithms and Applications (15 papers), Web Data Mining and Analysis (7 papers) and Complex Network Analysis Techniques (6 papers). Rakhi Garg is often cited by papers focused on Data Mining Algorithms and Applications (15 papers), Web Data Mining and Analysis (7 papers) and Complex Network Analysis Techniques (6 papers). Rakhi Garg collaborates with scholars based in India, United Arab Emirates and United States. Rakhi Garg's co-authors include Pramod Kumar Mishra, Sudhakar Singh, Huzur Saran, Manpreet Singh, Ramandeep S. Randhawa, Priyanka Mishra, Xiaoqiang Chen and Santosh Kumar and has published in prestigious journals such as Computers & Electrical Engineering, Computer Science Review and Journal of King Saud University - Computer and Information Sciences.

In The Last Decade

Rakhi Garg

32 papers receiving 230 citations

Peers

Rakhi Garg
Rakhi Garg
Citations per year, relative to Rakhi Garg Rakhi Garg (= 1×) peers Mingyue Jiang

Countries citing papers authored by Rakhi Garg

Since Specialization
Citations

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

Fields of papers citing papers by Rakhi Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakhi Garg

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

All Works

20 of 20 papers shown
1.
Garg, Rakhi, et al.. (2025). A survey of Community Detection algorithms and its comparative performance analysis. Computer Science Review. 58. 100799–100799. 1 indexed citations
2.
Garg, Rakhi, et al.. (2023). Review on Mobile App Development: Tools and Techniques. 260–266. 2 indexed citations
3.
Garg, Rakhi, et al.. (2021). Performance Evaluation of the MapReduce-based Parallel Data Preprocessing Algorithm in Web Usage Mining with Robot Detection Approaches. IETE Technical Review. 39(4). 865–879. 4 indexed citations
4.
Garg, Rakhi, et al.. (2021). NI-Louvain: A novel algorithm to detect overlapping communities with influence analysis. Journal of King Saud University - Computer and Information Sciences. 34(9). 7765–7774. 9 indexed citations
5.
Garg, Rakhi, et al.. (2020). Comparative analysis of sequential community detection algorithms based on internal and external quality measure. Journal of Statistics and Management Systems. 23(7). 1129–1146. 9 indexed citations
6.
Singh, Sudhakar, et al.. (2019). A data structure perspective to the RDD-based Apriori algorithm on Spark. International Journal of Information Technology. 14(3). 1585–1594. 5 indexed citations
7.
Garg, Rakhi, et al.. (2019). An Aitken-extrapolated Gauss-Seidel method for computing PageRank. Journal of Statistics and Management Systems. 22(2). 199–222. 3 indexed citations
8.
Garg, Rakhi, et al.. (2019). Data Preprocessing Techniques in Web Usage Mining: A Literature Review. SSRN Electronic Journal. 9 indexed citations
9.
Singh, Sudhakar, et al.. (2019). A Data Structure Perspective to the RDD-based Apriori Algorithm on Spark. SSRN Electronic Journal. 4 indexed citations
10.
Singh, Sudhakar, Rakhi Garg, & Pramod Kumar Mishra. (2017). Performance optimization of MapReduce-based Apriori algorithm on Hadoop cluster. Computers & Electrical Engineering. 67. 348–364. 50 indexed citations
11.
Garg, Rakhi, et al.. (2017). Analysis of Robot Detection approaches for ethical and unethical robots on Web server log. International Journal of Advanced Research in Computer Science. 8(5). 1132–1134. 2 indexed citations
12.
Garg, Rakhi, et al.. (2017). Discussion on Damping Factor Value in PageRank Computation. International Journal of Intelligent Systems and Applications. 9(9). 19–28. 10 indexed citations
13.
Singh, Sudhakar, et al.. (2016). Mining Association Rules in Various Computing Environments: A Survey. SSRN Electronic Journal. 5 indexed citations
14.
Singh, Sudhakar, et al.. (2015). Big Data: Technologies, Trends and Applications. SSRN Electronic Journal. 4 indexed citations
15.
Garg, Rakhi, et al.. (2015). Analysis of Data Extraction and Data Cleaning in Web Usage Mining. 1–6. 15 indexed citations
17.
Garg, Rakhi, et al.. (2011). Exploiting Parallelism in Association Rule Mining Algorithms. 4 indexed citations
18.
Garg, Rakhi & Huzur Saran. (2003). Scheduling algorithms for bounded delay service in virtual networks. 2. 1318–1322.
19.
Garg, Rakhi & Xiaoqiang Chen. (2002). RRR: recursive round robin scheduler. 1. 422–432. 3 indexed citations
20.
Garg, Rakhi & Huzur Saran. (2002). Fair bandwidth sharing among virtual networks: a capacity resizing approach. 1. 255–264. 17 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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