Ankur Shukla

444 total citations
28 papers, 247 citations indexed

About

Ankur Shukla is a scholar working on Information Systems, Software and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Ankur Shukla has authored 28 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 15 papers in Software and 12 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Ankur Shukla's work include Software Reliability and Analysis Research (14 papers), Reliability and Maintenance Optimization (11 papers) and Software Engineering Research (8 papers). Ankur Shukla is often cited by papers focused on Software Reliability and Analysis Research (14 papers), Reliability and Maintenance Optimization (11 papers) and Software Engineering Research (8 papers). Ankur Shukla collaborates with scholars based in India, Norway and United States. Ankur Shukla's co-authors include Subhashis Chatterjee, Basel Katt, Hoang Pham, Sandeep Pirbhulal, Habtamu Abie, Prosper Kandabongee Yeng, Muhammad Mudassar Yamin, Sanjay Misra, Ajoy Kumar Ray and Chandan Bhar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Heliyon.

In The Last Decade

Ankur Shukla

25 papers receiving 232 citations

Peers

Ankur Shukla

SOFTW

SRRQ

CNC

W.W. Everett United States

Suhyun Cha Germany

David J. Rossetti United States

D.L. Lanning United States

Mei-Hwa Chen United States

Gilles Motet France

Mario Fusani Italy

Linas Laibinis Finland

Thomas Gruber Austria

Giovanni Giachetti Spain

W.W. Everett United States

Ankur Shukla

119 ×0.8

SOFTW

68 ×0.5

SRRQ

91 ×0.8

4 ×0.1

33 ×1.0

CNC

Citations per year, relative to Ankur Shukla Ankur Shukla (= 1×) peers W.W. Everett

Countries citing papers authored by Ankur Shukla

Since Specialization

Citations

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

Fields of papers citing papers by Ankur Shukla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Ankur Shukla. A scholar is included among the top collaborators of Ankur Shukla 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 Ankur Shukla. Ankur Shukla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shukla, Ankur, et al.. (2024). Artificial intelligence for system security assurance: A systematic literature review. International Journal of Information Security. 24(1). 3 indexed citations

Shukla, Ankur, et al.. (2024). Construction of lattices over the real sub-field of ℚ(ς8) for block fading (wiretap) coding. Discrete Mathematics Algorithms and Applications. 17(4).

Pirbhulal, Sandeep, et al.. (2024). IoT cybersecurity in 5G and beyond: a systematic literature review. International Journal of Information Security. 23(4). 2827–2879. 6 indexed citations

Yamin, Muhammad Mudassar, et al.. (2023). Automatic Verification and Execution of Cyber Attack on IoT Devices. Sensors. 23(2). 733–733. 14 indexed citations

Shukla, Ankur, Basel Katt, & Muhammad Mudassar Yamin. (2023). A quantitative framework for security assurance evaluation and selection of cloud services: a case study. International Journal of Information Security. 22(6). 1621–1650. 3 indexed citations

Misra, Sanjay, et al.. (2023). A blockchain-based evaluation approach to analyse customer satisfaction using AI techniques. Heliyon. 9(6). e16766–e16766. 12 indexed citations

Shukla, Ankur, Xueli Gao, & Yonas Zewdu Ayele. (2023). STPA-Based Safety Approach on the Emergency Ventilation System in Nuclear Power Plant. 1561–1568. 2 indexed citations

Pirbhulal, Sandeep, Habtamu Abie, & Ankur Shukla. (2022). Towards a Novel Framework for Reinforcing Cybersecurity using Digital Twins in IoT-based Healthcare Applications. 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring). 1–5. 14 indexed citations

Shukla, Ankur, et al.. (2022). Developing Security Assurance Metrics to Support Quantitative Security Assurance Evaluation. SHILAP Revista de lepidopterología. 2(3). 587–605. 6 indexed citations

10.

Shukla, Ankur & Basel Katt. (2019). Change Point Problem in Security Vulnerability Discovery Model. 58. 21–26. 1 indexed citations

11.

Chatterjee, Subhashis, Ankur Shukla, & Hoang Pham. (2018). Modeling and analysis of software fault detectability and removability with time variant fault exposure ratio, fault removal efficiency, and change point. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 233(2). 246–256. 17 indexed citations

12.

Chatterjee, Subhashis, et al.. (2018). NHPP-Based Software Reliability Growth Modeling and Optimal Release Policy for N-Version Programming System with Increasing Fault Detection Rate under Imperfect Debugging. Proceedings of the National Academy of Sciences India Section A Physical Sciences. 90(1). 11–26. 3 indexed citations

13.

Chatterjee, Subhashis & Ankur Shukla. (2018). A unified approach of testing coverage‐based software reliability growth modelling with fault detection probability, imperfect debugging, and change point. Journal of Software Evolution and Process. 31(3). 26 indexed citations

14.

Shukla, Ankur, et al.. (2017). Permission recommender system for Android. 311–314. 1 indexed citations

15.

Chatterjee, Subhashis & Ankur Shukla. (2017). An Ideal Software Release Policy for an Improved Software Reliability Growth Model Incorporating Imperfect Debugging with Fault Removal Efficiency and Change Point. Asia Pacific Journal of Operational Research. 34(3). 1740017–1740017. 26 indexed citations

16.

Chatterjee, Subhashis, et al.. (2017). Estimation of software reliability and development cost using interval type-2 fuzzy AHP. 682–688. 3 indexed citations

17.

Chatterjee, Subhashis & Ankur Shukla. (2016). Modeling and Analysis of Software Fault Detection and Correction Process Through Weibull-Type Fault Reduction Factor, Change Point and Imperfect Debugging. Arabian Journal for Science and Engineering. 41(12). 5009–5025. 32 indexed citations

18.

Chatterjee, Subhashis & Ankur Shukla. (2016). Change point–based software reliability model under imperfect debugging with revised concept of fault dependency. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 230(6). 579–597. 15 indexed citations

19.

Chatterjee, Subhashis, et al.. (2016). Modeling and analysis of reliability and optimal release policy of software with testing domain coverage efficiency. 14. 90–95. 3 indexed citations

20.

Chatterjee, Subhashis & Ankur Shukla. (2015). Effect of Test Coverage and Change Point on Software Reliability Growth Based on Time Variable Fault Detection Probability. Journal of Software. 11(1). 110–117. 8 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.

Explore authors with similar magnitude of impact