Rajendra Kumar Roul

618 total citations
38 papers, 256 citations indexed

About

Rajendra Kumar Roul is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rajendra Kumar Roul has authored 38 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 15 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rajendra Kumar Roul's work include Text and Document Classification Technologies (14 papers), Machine Learning and ELM (11 papers) and Web Data Mining and Analysis (10 papers). Rajendra Kumar Roul is often cited by papers focused on Text and Document Classification Technologies (14 papers), Machine Learning and ELM (11 papers) and Web Data Mining and Analysis (10 papers). Rajendra Kumar Roul collaborates with scholars based in India and United States. Rajendra Kumar Roul's co-authors include Jajati Keshari Sahoo, Shalini Batra, Sanjay K. Sahay, Manisha Kaushal, Gaurav Kumar, Mit Shah, Ashish Nanda, Viraj V. Patel, Aditya Bhalla and Rinkle Rani and has published in prestigious journals such as Neural Computing and Applications, Multimedia Tools and Applications and Archives of Computational Methods in Engineering.

In The Last Decade

Rajendra Kumar Roul

35 papers receiving 242 citations

Peers

Rajendra Kumar Roul

CVPR

EEE

Mehul Mahrishi India

A.K.M. Muzahidul Islam Bangladesh

Abdalraouf Hassan United States

Diletta Chiaro Italy

Yuanshao Zhu China

Mahmoud Othman Egypt

Yunwen Chen China

Vimal Bibhu India

Imre Lendák Serbia

Haonan Yan China

Mehul Mahrishi India

Rajendra Kumar Roul

51 ×0.3

48 ×0.6

31 ×0.8

CVPR

45 ×1.3

16 ×0.8

EEE

Citations per year, relative to Rajendra Kumar Roul Rajendra Kumar Roul (= 1×) peers Mehul Mahrishi

Countries citing papers authored by Rajendra Kumar Roul

Since Specialization

Citations

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

Fields of papers citing papers by Rajendra Kumar Roul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajendra Kumar Roul. 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 Rajendra Kumar Roul. The network helps show where Rajendra Kumar Roul may publish in the future.

Co-authorship network of co-authors of Rajendra Kumar Roul

This figure shows the co-authorship network connecting the top 25 collaborators of Rajendra Kumar Roul. A scholar is included among the top collaborators of Rajendra Kumar Roul 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 Rajendra Kumar Roul. Rajendra Kumar Roul 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

Roul, Rajendra Kumar, et al.. (2025). Integration of VCNN models with RVFLwoDL to boost the parking space classification. Computers & Electrical Engineering. 127. 110444–110444.

Rani, Rinkle, et al.. (2025). State-of-the-Art Machine Learning and Deep Learning Techniques for Parking Space Classification: A Systematic Review. Archives of Computational Methods in Engineering. 32(6). 3851–3883. 1 indexed citations

Sharma, Deepak & Rajendra Kumar Roul. (2024). Intelligent Traffic Congestion Classification Framework. SN Computer Science. 6(1). 1 indexed citations

Roul, Rajendra Kumar, et al.. (2024). Novel methodology for apple leaf disease classification with PCNN-IELM. Neural Computing and Applications. 37(6). 4895–4913. 1 indexed citations

Roul, Rajendra Kumar, et al.. (2024). Cultivating road safety: A comprehensive examination of intelligent ensemble-based road crack detection. Multimedia Tools and Applications. 84(12). 10747–10780. 2 indexed citations

Roul, Rajendra Kumar, et al.. (2023). E-learning enhancement through educational data mining with Covid-19 outbreak period in backdrop: A review. International Journal of Educational Development. 101. 102814–102814. 22 indexed citations

Roul, Rajendra Kumar, et al.. (2023). A hybrid deep learning CNN-ELM approach for parking space detection in Smart Cities. Neural Computing and Applications. 35(18). 13665–13683. 16 indexed citations

Roul, Rajendra Kumar, et al.. (2023). Multilayer extreme learning machine: a systematic review. Multimedia Tools and Applications. 82(26). 40269–40307. 11 indexed citations

Sahoo, Jajati Keshari, et al.. (2022). Smart parking space detection under hazy conditions using convolutional neural networks: a novel approach. Multimedia Tools and Applications. 82(10). 15415–15438. 15 indexed citations

10.

Roul, Rajendra Kumar. (2021). Impact of multilayer ELM feature mapping technique on supervised and semi-supervised learning algorithms. Soft Computing. 26(1). 423–437. 5 indexed citations

11.

Roul, Rajendra Kumar & Jajati Keshari Sahoo. (2020). A novel approach for ranking web documents based on query-optimized personalized pagerank. International Journal of Data Science and Analytics. 11(1). 37–55. 8 indexed citations

12.

Roul, Rajendra Kumar. (2020). Topic modeling combined with classification technique for extractive multi-document text summarization. Soft Computing. 25(2). 1113–1127. 20 indexed citations

13.

Roul, Rajendra Kumar, et al.. (2019). A nifty review to text summarization-based recommendation system for electronic products. Soft Computing. 23(24). 13183–13204. 7 indexed citations

14.

Sahoo, Jajati Keshari, et al.. (2019). Authorship Identification using Recurrent Neural Networks. 133–137. 18 indexed citations

15.

Roul, Rajendra Kumar, et al.. (2017). A Modified Cosine-Similarity based Log Kernel for Support Vector Machines in the Domain of Text Classification. 338–347.

16.

Roul, Rajendra Kumar, et al.. (2017). Modified TF-IDF Term Weighting Strategies for Text Categorization. 1–6. 20 indexed citations

17.

Roul, Rajendra Kumar, et al.. (2016). A New Feature Selection Technique Combined with ELM Feature Space for Text Classification.. 285–292. 4 indexed citations

18.

Roul, Rajendra Kumar, et al.. (2014). A Complete Survey on Web Document Ranking. 1–7. 2 indexed citations

19.

Roul, Rajendra Kumar, et al.. (2014). Web Document Clustering and Ranking using Tf-Idf based Apriori Approach.. arXiv (Cornell University). 34–39. 4 indexed citations

20.

Roul, Rajendra Kumar, et al.. (2014). Triple Indexing: An Efficient Technique for Fast Phrase Query Evaluation. International Journal of Computer Applications. 87(13). 9–13. 1 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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