Amit K. Shukla

2.9k total citations · 3 hit papers
51 papers, 2.0k citations indexed

About

Amit K. Shukla is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Amit K. Shukla has authored 51 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 5 papers in Computer Networks and Communications. Recurrent topics in Amit K. Shukla's work include Fuzzy Logic and Control Systems (12 papers), Machine Learning and ELM (8 papers) and Multi-Criteria Decision Making (7 papers). Amit K. Shukla is often cited by papers focused on Fuzzy Logic and Control Systems (12 papers), Machine Learning and ELM (8 papers) and Multi-Criteria Decision Making (7 papers). Amit K. Shukla collaborates with scholars based in India, Finland and United States. Amit K. Shukla's co-authors include Pranab K. Muhuri, Ajith Abraham, Rahul Nath, Jason Baird Jackson, Krishna Gade, Jignesh M. Patel, Dmitriy Ryaboy, Sanjeev Kulkarni, Maosong Fu and Karthik Ramasamy and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.

In The Last Decade

Amit K. Shukla

47 papers receiving 2.0k citations

Hit Papers

Storm@twitter 2014 2026 2018 2022 2014 2018 2021 100 200 300 400 500
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.

  1. Storm@twitter
    2014 599 citations Amit K. Shukla et al. profile →
  2. Industry 4.0: A bibliometric analysis and detailed overview
    2018 367 citations Pranab K. Muhuri, Amit K. Shukla et al. Engineering Applications of Artificial Intelligence profile →
  3. Metaheuristics: a comprehensive overview and classification along with bibliometric analysis
    2021 193 citations Amit K. Shukla, Rahul Nath et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit K. Shukla India 20 671 613 521 302 189 51 2.0k
Kuo‐Ming Chao United Kingdom 28 717 1.1× 888 1.4× 1.0k 1.9× 406 1.3× 238 1.3× 201 2.7k
Paul Davidsson Sweden 24 454 0.7× 431 0.7× 294 0.6× 406 1.3× 182 1.0× 181 2.2k
Chen Li China 23 501 0.7× 307 0.5× 529 1.0× 490 1.6× 114 0.6× 292 2.2k
Lian Duan United States 21 539 0.8× 241 0.4× 425 0.8× 314 1.0× 160 0.8× 79 2.3k
Abdelaziz Bouras Qatar 21 724 1.1× 269 0.4× 444 0.9× 347 1.1× 149 0.8× 111 2.2k
Pranab K. Muhuri India 24 735 1.1× 221 0.4× 218 0.4× 391 1.3× 419 2.2× 114 2.3k
Miriam A. M. Capretz Canada 21 1.0k 1.5× 653 1.1× 659 1.3× 153 0.5× 190 1.0× 150 3.0k
Yunchuan Sun China 28 816 1.2× 804 1.3× 739 1.4× 105 0.3× 139 0.7× 138 2.9k
N. Deepa India 19 397 0.6× 444 0.7× 544 1.0× 635 2.1× 123 0.7× 77 2.4k

Countries citing papers authored by Amit K. Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Amit K. Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit K. Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Amit K. Shukla. A scholar is included among the top collaborators of Amit K. 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 Amit K. Shukla. Amit K. Shukla 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.
Srivastav, Shubham, Amit K. Shukla, Sandeep Kumar, & Pranab K. Muhuri. (2025). HYRIDE: HYbrid and Robust Intrusion DEtection approach for enhancing cybersecurity in Industry 4.0. Internet of Things. 30. 101492–101492. 5 indexed citations
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Shukla, Amit K., Vagan Terziyan, & Timo Tiihonen. (2024). AI as a user of AI: Towards responsible autonomy. Heliyon. 10(11). e31397–e31397. 5 indexed citations
5.
Shukla, Amit K. & Pranab K. Muhuri. (2024). Deep belief network with fuzzy parameters and its membership function sensitivity analysis. Neurocomputing. 614. 128716–128716. 1 indexed citations
6.
Nath, Rahul, et al.. (2023). Multi-task optimization in reliability redundancy allocation problem: A multifactorial evolutionary-based approach. Reliability Engineering & System Safety. 244. 109807–109807. 8 indexed citations
7.
Shukla, Amit K., et al.. (2023). Artificial intelligence centric scientific research on COVID-19: an analysis based on scientometrics data. Multimedia Tools and Applications. 82(21). 32755–32787. 4 indexed citations
8.
Shukla, Amit K.. (2022). Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences. Axioms. 11(11). 615–615. 1 indexed citations
9.
Ghosh, Souvik, et al.. (2022). Contrasting Farm Livelihoods in Climate Sensitive Agro-Ecosystems in Odisha. 1–9. 1 indexed citations
10.
Shukla, Amit K., et al.. (2021). Industry 4.0: Latent Dirichlet Allocation and clustering based theme identification of bibliography. Engineering Applications of Artificial Intelligence. 103. 104280–104280. 23 indexed citations
11.
Zurita, Gustavo, et al.. (2020). A bibliometric overview of the Journal of Network and Computer Applications between 1997 and 2019. Journal of Network and Computer Applications. 165. 102695–102695. 28 indexed citations
12.
Kumar, Sandeep, Amit K. Shukla, Pranab K. Muhuri, & Q. M. Danish Lohani. (2019). Transfer Learning based GDP Prediction from Uncertain Carbon Emission Data. 70. 1–6. 3 indexed citations
13.
Shukla, Amit K., et al.. (2019). Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988–2018). Engineering Applications of Artificial Intelligence. 85. 517–532. 123 indexed citations
14.
Nath, Rahul, et al.. (2018). A Novel Bilevel Formulation for Pollution Routing Problem. 586–592. 5 indexed citations
15.
Shukla, Amit K., et al.. (2018). Interval Type-2 Fuzzy weighted Extreme Learning Machine for GDP Prediction. 1–8. 9 indexed citations
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Muhuri, Pranab K., et al.. (2018). Applied soft computing: A bibliometric analysis of the publications and citations during (2004–2016). Applied Soft Computing. 69. 381–392. 48 indexed citations
18.
Shukla, Amit K., Rahul Nath, & Pranab K. Muhuri. (2017). NSGA-II based multi-objective pollution routing problem with higher order uncertainty. 1–6. 19 indexed citations
19.
Nath, Rahul, Amit K. Shukla, & Pranab K. Muhuri. (2014). Real-time power aware scheduling for tasks with type-2 fuzzy timing constraints. 842–849. 15 indexed citations
20.
Nath, Rahul, Amit K. Shukla, Pranab K. Muhuri, & Q. M. Danish Lohani. (2013). NSGA-II based energy efficient scheduling in real-time embedded systems for tasks with deadlines and execution times as type-2 fuzzy numbers. 1–8. 23 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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