Amit K. Shukla
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Industrial and Manufacturing Engineering top 1%
- Management Science and Operations Research top 5%
- Co-authors
- Pranab K. MuhuriAjith AbrahamRahul NathDmitriy RyaboyJignesh M. PatelJason Baird JacksonSanjeev KulkarniKrishna Gade
- Topics
- Fuzzy Logic and Control Systems (12 papers)Machine Learning and ELM (8 papers)Multi-Criteria Decision Making (7 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Networks and CommunicationsInformation Systems
- Partner nations
- IndiaFinlandUnited States
In The Last Decade
Amit K. Shukla
47 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Artificial Intelligence 671
- Computer Networks and Communications 613
- Information Systems 521
- Industrial and Manufacturing Engineering 302
- Management Science and Operations Research 189
Countries citing papers authored by Amit K. Shukla
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Metaheuristics: a comprehensive overview and classification along with bibliometric analysisbreakdown → | 193 |
| 11 | 23 | |
| 12 | 28 | |
| 13 | 15 | |
| 14 | 3 | |
| 15 | 123 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 48 | |
| 19 | 15 | |
| 20 | 23 |
About Amit K. Shukla
Amit K. Shukla is a scholar working on Artificial Intelligence, Software and Health Informatics, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (12 papers), Machine Learning and ELM (8 papers) and Multi-Criteria Decision Making (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (302 citations), Computer Networks and Communications (613 citations) and Information Systems (521 citations). Amit K. Shukla has collaborated with scholars based in India, Finland and United States. Frequent co-authors include Pranab K. Muhuri, Ajith Abraham, Rahul Nath, Dmitriy Ryaboy, Jignesh M. Patel, Jason Baird Jackson, Sanjeev Kulkarni, Krishna Gade, Maosong Fu and Karthik Ramasamy. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.
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.