Archana Purwar

578 total citations
27 papers, 352 citations indexed

About

Archana Purwar is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Archana Purwar has authored 27 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Signal Processing and 5 papers in Information Systems. Recurrent topics in Archana Purwar's work include Music and Audio Processing (6 papers), Speech and Audio Processing (5 papers) and Speech Recognition and Synthesis (5 papers). Archana Purwar is often cited by papers focused on Music and Audio Processing (6 papers), Speech and Audio Processing (5 papers) and Speech Recognition and Synthesis (5 papers). Archana Purwar collaborates with scholars based in India. Archana Purwar's co-authors include Sandeep Kumar Singh, Dhanalekshmi Gopinathan, Sam Goundar, Shelly Gupta, Apoorva Aggarwal, Nikhil Anand, Himanshu Gupta and Amanpreet Kaur and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Multimedia Tools and Applications.

In The Last Decade

Archana Purwar

25 papers receiving 329 citations

Peers

Archana Purwar

AI

IS

SPS

SP

CVPR

Mehdi Naseriparsa Australia

S. Sivasubramanian India

Md. Anwar Hussen Wadud Bangladesh

James Jordon United Kingdom

Titin Siswantining Indonesia

Sangeet Srivastava India

Luciano Caroprese Italy

Arti Jain India

Mudassir Khan Saudi Arabia

Vishu Madaan India

Mehdi Naseriparsa Australia

Archana Purwar

266 ×1.5

AI

76 ×0.7

IS

29 ×0.4

SPS

27 ×0.4

SP

39 ×0.8

CVPR

Citations per year, relative to Archana Purwar Archana Purwar (= 1×) peers Mehdi Naseriparsa

Countries citing papers authored by Archana Purwar

Since Specialization

Citations

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

Fields of papers citing papers by Archana Purwar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archana Purwar

This figure shows the co-authorship network connecting the top 25 collaborators of Archana Purwar. A scholar is included among the top collaborators of Archana Purwar 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 Archana Purwar. Archana Purwar 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

1.

Purwar, Archana, et al.. (2025). Direct normalized cut clustering using a novel robust cluster estimation technique for multi-speaker diarization. International Journal of Speech Technology. 28(2). 597–609.

2.

Purwar, Archana, et al.. (2023). VR Therapy- Mental Therapy Tool based on Virtual Reality. 1(1).

3.

Purwar, Archana, et al.. (2023). Food recognition using enhanced squirrel search optimisation algorithm and convolutional neural network. International Journal of Data Analysis Techniques and Strategies. 15(3). 238–254. 1 indexed citations

4.

Purwar, Archana, et al.. (2023). Speech refinement using Bi-LSTM and improved spectral clustering in speaker diarization. Multimedia Tools and Applications. 83(18). 54433–54448. 4 indexed citations

5.

Purwar, Archana, et al.. (2023). Credit card fraud detection using XGBoost for imbalanced data set. 216–219. 1 indexed citations

6.

Purwar, Archana, et al.. (2023). A systematic review on fall detection systems for elderly healthcare. Multimedia Tools and Applications. 83(14). 43277–43302. 9 indexed citations

7.

Purwar, Archana, et al.. (2022). Food Image Recognition by optimizing CNN with PSO and GA. 37–42. 4 indexed citations

8.

Purwar, Archana, et al.. (2022). Accent classification using Machine learning and Deep Learning Models. 13–18. 2 indexed citations

9.

Purwar, Archana, et al.. (2022). Analysis of clustering algorithms for Speaker Diarization using LSTM. 100. 19–24. 1 indexed citations

10.

Purwar, Archana, et al.. (2021). Recent Studies on Segmentation Techniques for Food Recognition: A Survey. Archives of Computational Methods in Engineering. 29(2). 865–878. 15 indexed citations

11.

Purwar, Archana & Sandeep Kumar Singh. (2020). A novel ensemble classifier by combining sampling and genetic algorithm to combat multiclass imbalanced problems. International Journal of Data Analysis Techniques and Strategies. 12(1). 30–30. 5 indexed citations

12.

Purwar, Archana, et al.. (2019). Fake News Detection Using Sentiment Analysis. 1–5. 86 indexed citations

13.

Purwar, Archana, et al.. (2018). A Stacked Technique for Gender Recognition Through Voice. 1–3. 13 indexed citations

14.

Purwar, Archana, et al.. (2018). TweetRush: A Tool for Analysis of Twitter Data. International Journal of Education and Management Engineering. 8(2). 31–40. 3 indexed citations

15.

Purwar, Archana & Sandeep Kumar Singh. (2015). DBSCANI: Noise-Resistant Method for Missing Value Imputation. SHILAP Revista de lepidopterología. 25(3). 431–440. 7 indexed citations

16.

Purwar, Archana, et al.. (2015). Prediction of click frauds in mobile advertising. 162–166. 19 indexed citations

17.

Purwar, Archana & Sandeep Kumar Singh. (2015). Hybrid prediction model with missing value imputation for medical data. Expert Systems with Applications. 42(13). 5621–5631. 123 indexed citations

18.

Aggarwal, Apoorva, et al.. (2014). An efficient technique to control road traffic using Fuzzy Neural Network System. 1. 1–6. 2 indexed citations

19.

Purwar, Archana, et al.. (2014). Prediction of Investment Patterns Using Data Mining Techniques. International Journal of Computer and Communication Engineering. 3(2). 145–148. 2 indexed citations

20.

Purwar, Archana & Sandeep Kumar Singh. (2014). Issues in data mining: A comprehensive survey. 1–6. 8 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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