C. V. Guru Rao

758 total citations
59 papers, 458 citations indexed

About

C. V. Guru Rao is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, C. V. Guru Rao has authored 59 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 29 papers in Information Systems and 22 papers in Computer Networks and Communications. Recurrent topics in C. V. Guru Rao's work include Data Mining Algorithms and Applications (13 papers), Web Data Mining and Analysis (12 papers) and Software Engineering Research (10 papers). C. V. Guru Rao is often cited by papers focused on Data Mining Algorithms and Applications (13 papers), Web Data Mining and Analysis (12 papers) and Software Engineering Research (10 papers). C. V. Guru Rao collaborates with scholars based in India, Nepal and China. C. V. Guru Rao's co-authors include Chintakindi Srinivas, Vangipuram Radhakrishna, M. Sreenivasa Rao, G. Narsimha, S. S. Babu, A. Govardhan, Debashish Chowdhury, Manoj Kumar Singh, Somnath Banerjee and A. Nagaraju and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Networks and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

C. V. Guru Rao

53 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. V. Guru Rao India 13 285 243 167 134 34 59 458
Xiaowei Xu China 9 133 0.5× 287 1.2× 97 0.6× 41 0.3× 121 3.6× 39 396
Niyati Baliyan India 9 91 0.3× 151 0.6× 113 0.7× 115 0.9× 21 0.6× 43 284
Muhammad Abdul Qadir Pakistan 11 194 0.7× 161 0.7× 171 1.0× 78 0.6× 60 1.8× 93 440
Jalel Akaichi Tunisia 10 175 0.6× 104 0.4× 69 0.4× 75 0.6× 38 1.1× 88 349
Ken Baclawski United States 8 148 0.5× 174 0.7× 277 1.7× 76 0.6× 16 0.5× 11 444
Wei‐Guang Teng Taiwan 9 89 0.3× 152 0.6× 108 0.6× 38 0.3× 88 2.6× 30 330
Yanchao Tan China 11 216 0.8× 152 0.6× 62 0.4× 15 0.1× 80 2.4× 39 397
Yantao Jia China 14 508 1.8× 169 0.7× 50 0.3× 47 0.4× 61 1.8× 40 649
Rafael Dowsley United States 13 361 1.3× 212 0.9× 119 0.7× 18 0.1× 43 1.3× 34 511
Qiaoyu Tan United States 12 359 1.3× 222 0.9× 57 0.3× 21 0.2× 104 3.1× 27 478

Countries citing papers authored by C. V. Guru Rao

Since Specialization
Citations

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

Fields of papers citing papers by C. V. Guru Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. V. Guru Rao. 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 C. V. Guru Rao. The network helps show where C. V. Guru Rao may publish in the future.

Co-authorship network of co-authors of C. V. Guru Rao

This figure shows the co-authorship network connecting the top 25 collaborators of C. V. Guru Rao. A scholar is included among the top collaborators of C. V. Guru Rao 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 C. V. Guru Rao. C. V. Guru Rao 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.
Long, Saiqin, Jianfeng Yang, C. V. Guru Rao, Qingyong Deng, & Kun Cao. (2025). D3QN-based secure scheduling of microservice workflows in cloud environments. Computer Networks. 263. 111227–111227. 1 indexed citations
2.
Rao, C. V. Guru, et al.. (2024). A novel approach to detect, analyze and block adversarial web pages. International Journal of Information Technology. 16(6). 3617–3622. 3 indexed citations
5.
Rao, C. V. Guru, Santi Kumari Behera, & Prabira Kumar Sethy. (2024). Small CNN Architectures for Wheat Leaf Rust Detection: A MobileNetV2 and ShuffleNet Approach with SVM. 1178–1182.
6.
Rao, C. V. Guru, et al.. (2020). Modern design approach of faults (toggling faults, bridge faults and SAT) of reduced ordered binary decision diagram based on combo & sequential blocks. International Journal of Reconfigurable and Embedded Systems (IJRES). 9(2). 158–158. 1 indexed citations
7.
Rao, C. V. Guru, et al.. (2019). Opposition Intensity-Based Cuckoo Search Algorithm for Data Privacy Preservation. SHILAP Revista de lepidopterología. 29(1). 1441–1452. 13 indexed citations
8.
Srinivas, Chintakindi & C. V. Guru Rao. (2019). Retracted on September 10, 2025: A novel approach for unsupervised learning of software components. 1–6. 8 indexed citations
9.
Rao, C. V. Guru, et al.. (2019). Solving the Routing Problem in Mobile Ad Hoc Networks by an Optimum System. International Journal of Engineering and Advanced Technology. 9(1). 4052–4056. 1 indexed citations
10.
Kumaraswamy, P., et al.. (2016). Cryptanalysis of Zuhua Shao key Authentication Scheme. Procedia Computer Science. 78. 95–99.
11.
Radhakrishna, Vangipuram, et al.. (2015). A Novel Gaussian Based Similarity Measure for Clustering Customer Transactions Using Transaction Sequence Vector. Procedia Technology. 19. 880–887. 21 indexed citations
12.
Rao, C. V. Guru, et al.. (2015). XNDDF: Towards a Framework for Flexible Near-Duplicate Document Detection Using Supervised and Unsupervised Learning. Procedia Computer Science. 48. 228–235. 4 indexed citations
13.
Srinivas, Chintakindi, et al.. (2014). Clustering Text Data Streams – A Tree based Approach with Ternary Function and Ternary Feature Vector. Procedia Computer Science. 31. 976–984. 12 indexed citations
14.
Rao, C. V. Guru, et al.. (2014). Cache based evaluation of iceberg queries. 1–5. 4 indexed citations
15.
Srinivas, Chintakindi, Vangipuram Radhakrishna, & C. V. Guru Rao. (2014). Clustering and Classification of Software Component for Efficient Component Retrieval and Building Component Reuse Libraries. Procedia Computer Science. 31. 1044–1050. 31 indexed citations
16.
Rao, C. V. Guru, et al.. (2014). Using Jpcap API to Monitor, Analyze, and Report Network Traffic for DDoS Attacks. 35–39. 5 indexed citations
17.
Rao, C. V. Guru, et al.. (2013). Computing iceberg queries efficiently using bitmap index positions. 1–6. 4 indexed citations
18.
Rao, C. V. Guru, et al.. (2013). Efficient Iceberg query evaluation using compressed bitmap index by deferring bitwise-XOR operations. 1311–1316. 6 indexed citations
19.
Srinivas, Chintakindi, Vangipuram Radhakrishna, & C. V. Guru Rao. (2013). Clustering Software Components for Program Restructuring and Component Reuse Using Hybrid XOR Similarity Function. AASRI Procedia. 4. 319–328. 20 indexed citations
20.
Banerjee, Somnath, Debdeep Mukhopadhyay, C. V. Guru Rao, & Debashish Chowdhury. (2006). An integrated DFT solution for mixed-signal SOCs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 25(7). 1368–1377. 2 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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