Dinesh Kumar Anguraj

739 total citations
70 papers, 366 citations indexed

About

Dinesh Kumar Anguraj is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Dinesh Kumar Anguraj has authored 70 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 19 papers in Computer Vision and Pattern Recognition and 18 papers in Artificial Intelligence. Recurrent topics in Dinesh Kumar Anguraj's work include Energy Efficient Wireless Sensor Networks (11 papers), Digital Imaging for Blood Diseases (7 papers) and Wireless Body Area Networks (6 papers). Dinesh Kumar Anguraj is often cited by papers focused on Energy Efficient Wireless Sensor Networks (11 papers), Digital Imaging for Blood Diseases (7 papers) and Wireless Body Area Networks (6 papers). Dinesh Kumar Anguraj collaborates with scholars based in India, Saudi Arabia and Italy. Dinesh Kumar Anguraj's co-authors include S. Smys, D. Saravanan, Debnath Bhattacharyya, Azath Mubarakali, M. Ashwin, S. Sudha, Tai-hoon Kim, V. Palanisamy, Dinesh Mavaluru and Raju Anitha and has published in prestigious journals such as Journal of Chromatography A, Expert Systems with Applications and Microchemical Journal.

In The Last Decade

Dinesh Kumar Anguraj

57 papers receiving 342 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dinesh Kumar Anguraj India 11 158 109 95 61 53 70 366
Ahmed Abdulhakim Al-Absi South Korea 11 131 0.8× 67 0.6× 42 0.4× 97 1.6× 41 0.8× 40 385
Abdullah M. Baqasah Saudi Arabia 11 107 0.7× 106 1.0× 80 0.8× 18 0.3× 32 0.6× 36 360
G. Santhosh Kumar India 12 215 1.4× 112 1.0× 49 0.5× 122 2.0× 45 0.8× 78 445
R.C. Suganthe India 12 108 0.7× 98 0.9× 69 0.7× 24 0.4× 68 1.3× 42 365
Himanshu Monga India 8 124 0.8× 64 0.6× 72 0.8× 75 1.2× 45 0.8× 54 309
N. Jayapandian India 11 109 0.7× 105 1.0× 132 1.4× 28 0.5× 68 1.3× 78 371
Noor Mohd India 9 109 0.7× 67 0.6× 49 0.5× 80 1.3× 25 0.5× 45 429
Muhammad Faisal Amjad Pakistan 12 206 1.3× 119 1.1× 144 1.5× 65 1.1× 46 0.9× 34 414
Eman Shaaban Egypt 11 332 2.1× 92 0.8× 120 1.3× 131 2.1× 46 0.9× 40 413

Countries citing papers authored by Dinesh Kumar Anguraj

Since Specialization
Citations

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

Fields of papers citing papers by Dinesh Kumar Anguraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinesh Kumar Anguraj

This figure shows the co-authorship network connecting the top 25 collaborators of Dinesh Kumar Anguraj. A scholar is included among the top collaborators of Dinesh Kumar Anguraj 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 Dinesh Kumar Anguraj. Dinesh Kumar Anguraj 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.
Anguraj, Dinesh Kumar, et al.. (2024). A DENSE SPATIAL NETWORK MODEL FOR EMOTION RECOGNITION USING LEARNING APPROACHES. ACM Transactions on Asian and Low-Resource Language Information Processing. 1 indexed citations
2.
Anguraj, Dinesh Kumar, et al.. (2024). Utilizing Image Analysis with Machine Learning and Deep Learning to Identify Malaria Parasites in Conventional Microscopic Blood Smear Images. Traitement du signal. 41(1). 343–362. 1 indexed citations
3.
4.
Sasirekha, S.P., et al.. (2024). A constructive delay-aware model for opportunistic routing protocol in MANET. Expert Systems with Applications. 255. 124527–124527. 1 indexed citations
5.
Anguraj, Dinesh Kumar, et al.. (2024). Real-time number plate detection using AI and ML. 2. 37–37. 5 indexed citations
6.
Anguraj, Dinesh Kumar, et al.. (2024). A research on a music recommendation system based on facial expressions through deep learning mechanisms. 2. 38–38. 5 indexed citations
7.
Anguraj, Dinesh Kumar, et al.. (2024). Modeling a Novel Approach for Emotion Recognition Using Learning and Natural Language Processing. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(3). 1–18.
8.
9.
Mishra, Debani Prasad, et al.. (2024). Integration of IOT Technology with Smart Grid: A Comprehensive Analysis. 1–6.
10.
11.
Anguraj, Dinesh Kumar, et al.. (2023). Optimal Machine Learning Based Automated Malaria Parasite Detection and Classification Model Using Blood Smear Images. Traitement du signal. 40(1). 91–99. 7 indexed citations
12.
Padmanaban, K., et al.. (2023). An Exploration of Machine Learning in Movie Recommendation. 1253–1259. 2 indexed citations
13.
Anguraj, Dinesh Kumar, et al.. (2023). Modeling a Novel Hyper-Parameter Tuned Deep Learning Enabled Malaria Parasite Detection and Classification. Computers, materials & continua/Computers, materials & continua (Print). 77(3). 3289–3304. 2 indexed citations
14.
Anguraj, Dinesh Kumar, et al.. (2023). Stock Market Prediction using Machine Learning Technique. 378–382. 3 indexed citations
15.
Anguraj, Dinesh Kumar, et al.. (2023). Using Image Classification-based RBC Extraction for Malarial Parasite Identification in Peripheral Blood Smear. 5. 1554–1559. 1 indexed citations
16.
Sasirekha, S.P., et al.. (2022). An Efficient Unsupervised Learning Approach for Detecting Anomaly in Cloud. Computer Systems Science and Engineering. 45(1). 149–166. 12 indexed citations
17.
Anguraj, Dinesh Kumar, et al.. (2022). An efficient recommendation system for athletic performance optimization by enriched grey wolf optimization. Personal and Ubiquitous Computing. 27(3). 1015–1026. 2 indexed citations
18.
Saravanan, D., et al.. (2021). Flower Pollination Algorithm with Powell’s Method for the Minimum Energy Broadcast Problem in Wireless Sensor Network. Wireless Personal Communications. 119(2). 1111–1135. 7 indexed citations
19.
Anguraj, Dinesh Kumar, et al.. (2020). A Novel Study on Node Localization, Clustering and Routing Models in Wireless Sensor Networks. Journal of Research on the Lepidoptera. 51(3). 96–108. 1 indexed citations
20.
Mubarakali, Azath, M. Ashwin, Dinesh Mavaluru, & Dinesh Kumar Anguraj. (2019). Design an attribute based health record protection algorithm for healthcare services in cloud environment. Multimedia Tools and Applications. 79(5-6). 3943–3956. 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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