P. M. Rubesh Anand

841 total citations · 1 hit paper
26 papers, 569 citations indexed

About

P. M. Rubesh Anand is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, P. M. Rubesh Anand has authored 26 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in P. M. Rubesh Anand's work include Cloud Data Security Solutions (9 papers), Cryptography and Data Security (6 papers) and Antenna Design and Analysis (4 papers). P. M. Rubesh Anand is often cited by papers focused on Cloud Data Security Solutions (9 papers), Cryptography and Data Security (6 papers) and Antenna Design and Analysis (4 papers). P. M. Rubesh Anand collaborates with scholars based in India and United States. P. M. Rubesh Anand's co-authors include Vidhyacharan Bhaskar, K. Sakthidasan Sankaran, Gaurav Bajpai, S. Sureshkumar, S. Prabha, Bharat Bhushan and S. Praveen Kumar and has published in prestigious journals such as International Journal of Information Management, Applied Mathematical Modelling and Journal of Network and Computer Applications.

In The Last Decade

P. M. Rubesh Anand

23 papers receiving 528 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Big data analytics for disaster response and recovery through sentiment analysis

2018 282 citations P. M. Rubesh Anand, Vidhyacharan Bhaskar et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. M. Rubesh Anand India	9	240	181	170	119	85	26	569
Stefano Modafferi Italy	8	130 0.5×	101 0.6×	103 0.6×	112 0.9×	70 0.8×	22	410
Geoffrey Barbier United States	7	174 0.7×	279 1.5×	109 0.6×	261 2.2×	51 0.6×	9	702
Choochart Haruechaiyasak Thailand	15	416 1.7×	127 0.7×	250 1.5×	81 0.7×	43 0.5×	68	681
Gianluca Lax Italy	15	255 1.1×	133 0.7×	289 1.7×	36 0.3×	195 2.3×	70	633
Sukomal Pal India	12	479 2.0×	105 0.6×	292 1.7×	95 0.8×	45 0.5×	63	712
Wanita Sherchan Australia	11	307 1.3×	381 2.1×	329 1.9×	62 0.5×	279 3.3×	18	785
Chien Chin Chen Taiwan	13	319 1.3×	186 1.0×	273 1.6×	33 0.3×	65 0.8×	36	634
Enrico Corradini Italy	14	177 0.7×	95 0.5×	114 0.7×	27 0.2×	91 1.1×	40	454
Rebecca Goolsby United States	6	127 0.5×	313 1.7×	97 0.6×	305 2.6×	46 0.5×	11	701
Loris Belcastro Italy	12	112 0.5×	61 0.3×	83 0.5×	52 0.4×	84 1.0×	32	374

Countries citing papers authored by P. M. Rubesh Anand

Since Specialization

Citations

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

Fields of papers citing papers by P. M. Rubesh Anand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. M. Rubesh Anand. 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 P. M. Rubesh Anand. The network helps show where P. M. Rubesh Anand may publish in the future.

Co-authorship network of co-authors of P. M. Rubesh Anand

This figure shows the co-authorship network connecting the top 25 collaborators of P. M. Rubesh Anand. A scholar is included among the top collaborators of P. M. Rubesh Anand 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 P. M. Rubesh Anand. P. M. Rubesh Anand 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.

Anand, P. M. Rubesh, et al.. (2024). Natural Language Processing Enhancing Human-Computer Interaction for Disabled. 206–211.

2.

Kumar, S. Praveen, et al.. (2021). A Review on Analysis of Performance Parameters in Low Voltage Current Mirror Circuits. 1069–1077. 2 indexed citations

3.

Sankaran, K. Sakthidasan, et al.. (2019). A Wide Band Balun Design using Metamaterial Technique for Low Frequency Antenna Application. 735–738. 5 indexed citations

4.

Sankaran, K. Sakthidasan, S. Prabha, & P. M. Rubesh Anand. (2018). Optimized gradient histogram preservation with block wise SURE shrinkage for noise free image restoration. Cluster Computing. 22(S2). 4457–4478. 2 indexed citations

5.

Anand, P. M. Rubesh, et al.. (2018). Quantum Key Distribution and Cryptography Mechanisms for Cloud Data Security. 1031–1035. 7 indexed citations

6.

Sureshkumar, S., et al.. (2018). Low Pass Filter Design with CSRR as Defected Ground Structure. 893–896. 4 indexed citations

7.

Anand, P. M. Rubesh, et al.. (2018). Identity and access management in cloud environment: Mechanisms and challenges. Engineering Science and Technology an International Journal. 21(4). 574–588. 88 indexed citations

8.

Anand, P. M. Rubesh, et al.. (2017). Encrypted token based authentication with adapted SAML technology for cloud web services. Journal of Network and Computer Applications. 99. 131–145. 20 indexed citations

9.

Anand, P. M. Rubesh, et al.. (2017). Mining crisis information: A strategic approach for detection of people at risk through social media analysis. International Journal of Disaster Risk Reduction. 27. 556–566. 44 indexed citations

10.

Anand, P. M. Rubesh, et al.. (2017). Robust CHARM: an efficient data hosting scheme for cloud data storage system. Automatic Control and Computer Sciences. 51(4). 240–247.

11.

Anand, P. M. Rubesh, et al.. (2016). An efficient botnet detection system for P2P botnet. 1217–1221. 5 indexed citations

12.

Anand, P. M. Rubesh, et al.. (2016). A secure and reputation based recommendation framework for cloud services. 1–4. 6 indexed citations

13.

Anand, P. M. Rubesh, et al.. (2016). Circular polarized microstrip patch array antenna for wireless LAN applications. 1197–1200. 9 indexed citations

14.

Anand, P. M. Rubesh, et al.. (2016). An empirical analysis and classification of crisis related tweets. 21 indexed citations

15.

Anand, P. M. Rubesh, et al.. (2016). Hybrid authentication and authorization model for web based applications. 800. 1187–1191. 8 indexed citations

16.

Anand, P. M. Rubesh & Vidhyacharan Bhaskar. (2012). A unified trust management strategy for content sharing in Peer-to-Peer networks. Applied Mathematical Modelling. 37(4). 1992–2007. 5 indexed citations

17.

Anand, P. M. Rubesh & Vidhyacharan Bhaskar. (2011). Polluted content prevention in Peer-to-Peer file sharing networks. 1–4. 3 indexed citations

18.

Anand, P. M. Rubesh, Gaurav Bajpai, & Vidhyacharan Bhaskar. (2010). 3D Signature for Efficient Authentication in Multimodal Biometric Security Systems. 5 indexed citations

19.

Anand, P. M. Rubesh, Gaurav Bajpai, & Vidhyacharan Bhaskar. (2009). Online Multi-Parameter 3D Signature Verification through Curve Fitting. 2 indexed citations

20.

Anand, P. M. Rubesh, Gaurav Bajpai, & Vidhyacharan Bhaskar. (2009). Real-Time Symmetric Cryptography using Quaternion Julia Set. 12 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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