Anitha Chennamaneni

625 total citations
20 papers, 395 citations indexed

About

Anitha Chennamaneni is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Anitha Chennamaneni has authored 20 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Sociology and Political Science. Recurrent topics in Anitha Chennamaneni's work include Privacy, Security, and Data Protection (5 papers), Technology Adoption and User Behaviour (5 papers) and Network Security and Intrusion Detection (4 papers). Anitha Chennamaneni is often cited by papers focused on Privacy, Security, and Data Protection (5 papers), Technology Adoption and User Behaviour (5 papers) and Network Security and Intrusion Detection (4 papers). Anitha Chennamaneni collaborates with scholars based in United States. Anitha Chennamaneni's co-authors include M. K. Raja, Damiano Torre, James T. C. Teng, Babita Gupta, Ana Goulart, Aakash Taneja, Daisy Lin, Vikram S. Bhadauria, Vishnu Vinekar and Shwadhin Sharma and has published in prestigious journals such as IEEE Access, Journal of the Association for Information Systems and Electronics.

In The Last Decade

Anitha Chennamaneni

19 papers receiving 367 citations

Peers

Anitha Chennamaneni

COMMU

ISM

SPS

CNC

Liang-Chu Chen Taiwan

Muhammad Arif Pakistan

Jaeung Lee United States

Tim Klaus United States

Irene Y.L. Chen Taiwan

Andrea L. Houston United States

Shiuann-Shuoh Chen Taiwan

Noor Farizah Ibrahim Malaysia

Sophie Cockcroft Australia

Ali Alawneh Jordan

Liang-Chu Chen Taiwan

Anitha Chennamaneni

135 ×0.7

COMMU

88 ×0.5

61 ×0.6

ISM

58 ×0.6

SPS

17 ×0.2

CNC

Citations per year, relative to Anitha Chennamaneni Anitha Chennamaneni (= 1×) peers Liang-Chu Chen

Countries citing papers authored by Anitha Chennamaneni

Since Specialization

Citations

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

Fields of papers citing papers by Anitha Chennamaneni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anitha Chennamaneni

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

Goulart, Ana, et al.. (2024). On the Practicality of Hardware Acceleration for Lightweight Block Ciphers. 31–36. 1 indexed citations

Torre, Damiano, et al.. (2024). Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study. ACM Transactions on Software Engineering and Methodology. 34(2). 1–48. 22 indexed citations

Torre, Damiano, et al.. (2024). Leveraging Deep Reinforcement Learning Technique for Intrusion Detection in SCADA Infrastructure. IEEE Access. 12. 63381–63399. 15 indexed citations

Chennamaneni, Anitha, et al.. (2023). IoT forensic analysis: A family of experiments with Amazon Echo devices. Forensic Science International Digital Investigation. 45. 301541–301541. 4 indexed citations

Chennamaneni, Anitha, et al.. (2023). BLoCNet: a hybrid, dataset-independent intrusion detection system using deep learning. International Journal of Information Security. 22(4). 893–917. 23 indexed citations

Torre, Damiano, et al.. (2023). Deep learning techniques to detect cybersecurity attacks: a systematic mapping study. Empirical Software Engineering. 28(3). 9 indexed citations

Torre, Damiano, et al.. (2023). Privacy-Preservation Techniques for IoT Devices: A Systematic Mapping Study. IEEE Access. 11. 16323–16345. 10 indexed citations

Bhadauria, Vikram S. & Anitha Chennamaneni. (2022). Do desire, anxiety and personal innovativeness impact the adoption of IoT devices?. Information and Computer Security. 30(5). 730–750. 9 indexed citations

Goulart, Ana, et al.. (2022). On Wide-Area IoT Networks, Lightweight Security and Their Applications—A Practical Review. Electronics. 11(11). 1762–1762. 15 indexed citations

10.

Chennamaneni, Anitha & Babita Gupta. (2022). The privacy protection behaviours of the mobile app users: exploring the role of neuroticism and protection motivation theory. Behaviour and Information Technology. 42(12). 2011–2029. 17 indexed citations

11.

Hammad, Eman, et al.. (2021). A Deep-Defense Approach for Next -Gen Cyber - Resilient Inter-Dependent Critical Infrastructure Systems. 1–7. 3 indexed citations

12.

Gupta, Babita & Anitha Chennamaneni. (2018). Understanding Online Privacy Protection Behavior of the Older Adults: An Empirical Investigation.. Digital Commons - CSUMB (California State University, Monterey Bay). 29. 1–13. 5 indexed citations

13.

Gupta, Babita, Shwadhin Sharma, & Anitha Chennamaneni. (2016). Twitter Sentiment Analysis: An Examination of Cybersecurity Attitudes and Behavior. Journal of the Association for Information Systems. 5 indexed citations

14.

Chennamaneni, Anitha & Aakash Taneja. (2015). Communication Privacy Management and Self-Disclosure on Social Media - A Case of Facebook. Journal of the Association for Information Systems. 14 indexed citations

15.

Chennamaneni, Anitha, et al.. (2013). Towards an Integrated Framework for Applying the Agile Project Methodology to Manage Task Uncertainty in Disaster Management.. Journal of the Association for Information Systems.

16.

Chennamaneni, Anitha & James T. C. Teng. (2011). An Integrated Framework for Effective Tacit Knowledge Transfer. Journal of the Association for Information Systems. 23 indexed citations

17.

Chennamaneni, Anitha, et al.. (2011). A unified model of knowledge sharing behaviours: theoretical development and empirical test. Behaviour and Information Technology. 31(11). 1097–1115. 144 indexed citations

18.

Chennamaneni, Anitha, et al.. (2010). Potential Application of Contextual Information Processing To Data Mining.. 317–325. 2 indexed citations

19.

Vinekar, Vishnu, James T. C. Teng, & Anitha Chennamaneni. (2009). The Interaction of Business Intelligence and Knowledge Management in Organizational Decision-Making. DigitalCommons - Fairfield (Fairfield University). 18(2). 9 indexed citations

20.

Chennamaneni, Anitha. (2006). Determinants Of Knowledge Sharing Behaviors: Developing And Testing An Integrated Theoretical Model. UTA ResearchCommons (University of Texas Arlington). 65 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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