Manisha Guduri

645 total citations
27 papers, 350 citations indexed

About

Manisha Guduri is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Manisha Guduri has authored 27 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Manisha Guduri's work include Advancements in Semiconductor Devices and Circuit Design (10 papers), Low-power high-performance VLSI design (8 papers) and Privacy-Preserving Technologies in Data (3 papers). Manisha Guduri is often cited by papers focused on Advancements in Semiconductor Devices and Circuit Design (10 papers), Low-power high-performance VLSI design (8 papers) and Privacy-Preserving Technologies in Data (3 papers). Manisha Guduri collaborates with scholars based in India, United States and China. Manisha Guduri's co-authors include Martin Margala, Chinmay Chakraborty, V. Uma Maheswari, Sima Singh, Saqib Rafique, Lijie Li, Arshid Numan, Balaji Maddiboyina, Yiqiang Zhan and Nam Nguyen Dang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and IEEE Access.

In The Last Decade

Manisha Guduri

24 papers receiving 332 citations

Peers

Manisha Guduri

EEE

CNC

ELECT

Yuwen Pu China

Seunghwan Park South Korea

C.S. Ravichandran India

Xiaopei Wu China

P. Swaminathan India

Incheol Shin South Korea

Mohammad Arif Hossain United States

Xiang-Jun Li China

Chih-Hung Liu Taiwan

Yuwen Pu China

Manisha Guduri

93 ×0.7

EEE

106 ×1.3

83 ×1.4

CNC

89 ×1.9

36 ×0.8

ELECT

Citations per year, relative to Manisha Guduri Manisha Guduri (= 1×) peers Yuwen Pu

Countries citing papers authored by Manisha Guduri

Since Specialization

Citations

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

Fields of papers citing papers by Manisha Guduri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manisha Guduri

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

Chen, Jinhua, Zhu Xiao-gang, Chinmay Chakraborty, et al.. (2025). Dynamic Optimization of Vehicle Production Planning in Transportation Networks Using Federated Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. 27(2). 2528–2540.

Maheswari, V. Uma, et al.. (2025). Red Fox optimization for cotton leaf disease and pest diagnosis using Deep Learning. 1 indexed citations

Li, Dazhou, et al.. (2025). Kalman-based Adaptive Moment Estimation Optimisation Algorithm to Enhance GPT in LLMs for Medical Sentiment Analysis of Patient Health-related Feedback. IEEE Journal of Biomedical and Health Informatics. PP. 1–11. 2 indexed citations

Prasad, L V Narasimha, et al.. (2024). Cascaded PFLANN Model for Intelligent Health Informatics in Detection of Respiratory Diseases from Speech Using Bio-inspired Computation.

Tripathy, Subhranshu Sekhar, Manisha Guduri, Chinmay Chakraborty, et al.. (2024). An Adaptive Explainable AI Framework for Securing Consumer Electronics-Based IoT Applications in Fog-Cloud Infrastructure. IEEE Transactions on Consumer Electronics. 71(1). 1889–1896. 6 indexed citations

Tripathy, Subhranshu Sekhar, Sujit Bebortta, Chinmay Chakraborty, et al.. (2024). Leveraging Resource-Aware Deep Collaborative Learning Toward Secure B5G-Driven IoT–Fog-Based Consumer Electronic Systems. IEEE Transactions on Consumer Electronics. 71(2). 4443–4450. 2 indexed citations

Jie, Huang, Shilong Zhang, Fan Yang, et al.. (2023). Hypergraph-Based Interference Avoidance Resource Management in Customer-Centric Communication for Intelligent Cyber-Physical Transportation Systems. IEEE Transactions on Consumer Electronics. 70(1). 1775–1786. 16 indexed citations

Prakash, Shiva, et al.. (2023). A Secure and Efficient Scheme Based on Unlinkability and Anonymous Traceable Protocol for Cloud-Assisted IoT Environment. Journal of Circuits Systems and Computers. 32(18). 2 indexed citations

Mahesh, T R, V. Vinoth Kumar, V. Dhilip Kumar, et al.. (2023). The stratified K-folds cross-validation and class-balancing methods with high-performance ensemble classifiers for breast cancer classification. SHILAP Revista de lepidopterología. 4. 100247–100247. 51 indexed citations

10.

Nandi, S., et al.. (2023). Design and Investigation of a Metamorphic InAs Channel Inset InP HEMT for Cryogenic Low-Noise Amplifiers. IEEE Access. 11. 133115–133130. 3 indexed citations

11.

Lakshmi, A., et al.. (2021). IOT Based Agriculture Monitoring and Controlling System. 609–615. 5 indexed citations

12.

Numan, Arshid, Atal A.S. Gill, Saqib Rafique, et al.. (2020). Rationally engineered nanosensors: A novel strategy for the detection of heavy metal ions in the environment. Journal of Hazardous Materials. 409. 124493–124493. 128 indexed citations

13.

Guduri, Manisha, et al.. (2019). Interest Forwarding Strategies In Vehicular Named Data Networks. 53–57. 4 indexed citations

14.

Guduri, Manisha, et al.. (2019). Pending Interest Lifetime Mechanism for Vehicular Named Data Networks. 1–6. 5 indexed citations

15.

Guduri, Manisha, et al.. (2018). Minimum energy solution for ultra-low power applications. Microsystem Technologies. 25(5). 1823–1831. 2 indexed citations

16.

Guduri, Manisha, et al.. (2017). Design of 10T full adder cell for ultralow-power applications. Ain Shams Engineering Journal. 9(4). 2363–2372. 20 indexed citations

17.

Guduri, Manisha, et al.. (2016). Investigation on electrical characteristics of FDSOI device for ultra-low power operation. 27. 534–536. 1 indexed citations

18.

Guduri, Manisha, Amit Krishna Dwivedi, & Aminul Islam. (2016). High Vt-low Leakage FDSOI Device for Ultra-low Power Operation. Indian Journal of Science and Technology. 9(33).

19.

Guduri, Manisha & Aminul Islam. (2015). Design of hybrid full adder in deep subthreshold region for ultralow power applications. 309. 931–935. 2 indexed citations

20.

Agarwal, Vivek, Manisha Guduri, & Aminul Islam. (2014). Power and variability analysis of CMOS logic families @ 22-nm technology node. 8. 1–6. 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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