Apu Kumar Saha
Impact in
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
-
- Advanced Multi-Objective Optimization Algorithms 36
-
- Multi-Criteria Decision Making 18
- Co-authors
- Sukanta NamaSushmita SharmaSanjoy ChakrabortySaroj Kumar SahooRatul ChakrabortySima GhoshSeyedali MirjaliliAshis Kumar Roy
- Journals
- Applied Soft Computing (6 papers)Environment Development and Sustainability (5 papers)Knowledge-Based Systems (4 papers)Soft Computing (4 papers)Engineering Applications of Artificial Intelligence (3 papers)
- Partner nations
- IndiaSouth AfricaAustralia
In The Last Decade
Apu Kumar Saha
132 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 138
- Computational Theory and Mathematics 821
- Artificial Intelligence 1.4k
- Management Science and Operations Research 321
- Industrial and Manufacturing Engineering 159
- Control and Systems Engineering 320
Countries citing papers authored by Apu Kumar Saha
This map shows the geographic impact of Apu Kumar Saha'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 Apu Kumar Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apu Kumar Saha more than expected).
Fields of papers citing papers by Apu Kumar Saha
This network shows the impact of papers produced by Apu Kumar Saha. 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 Apu Kumar Saha. The network helps show where Apu Kumar Saha may publish in the future.
Co-authors
The 25 scholars most cited alongside Apu Kumar Saha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 20 | |
| 7 | 2023 | 44 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 56 | |
| 12 | 2022 | 31 | |
| 13 | 2022 | 66 | |
| 14 | 2022 | 55 | |
| 15 | 2022 | 73 | |
| 16 | 2022 | 24 | |
| 17 | 2021 | 39 | |
| 18 | 2021 | 21 | |
| 19 | 2021 | 7 | |
| 20 | 2020 | 32 |
About Apu Kumar Saha
Apu Kumar Saha is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Artificial Intelligence, Ocean Engineering and Fluid Flow and Transfer Processes, having authored 141 papers that have together received 2.8k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (40 papers), Advanced Multi-Objective Optimization Algorithms (36 papers), Evolutionary Algorithms and Applications (26 papers), Multi-Criteria Decision Making (18 papers), Water resources management and optimization (14 papers), Water Systems and Optimization (14 papers), Heat and Mass Transfer in Porous Media (13 papers) and Nanofluid Flow and Heat Transfer (11 papers). The work is most often cited by research in Computational Theory and Mathematics (821 citations), Artificial Intelligence (1.4k citations), Management Science and Operations Research (321 citations), Industrial and Manufacturing Engineering (159 citations) and Control and Systems Engineering (320 citations). Apu Kumar Saha has collaborated with scholars based in India, South Africa and Australia. Frequent co-authors include Sukanta Nama, Sushmita Sharma, Sanjoy Chakraborty, Saroj Kumar Sahoo, Ratul Chakraborty, Sima Ghosh, Seyedali Mirjalili, Ashis Kumar Roy, Mrinmoy Majumder and Laith Abualigah. Their work appears in journals such as Applied Soft Computing, Environment Development and Sustainability, Knowledge-Based Systems, Soft Computing and Engineering Applications of Artificial Intelligence.
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.