Alma Rahat

24 papers receiving 400 citations

Peers

Alma Rahat
Comparison fields: 5 of 87
  • Computational Theory and Mathematics 86
  • Management Science and Operations Research 48
  • Statistics, Probability and Uncertainty 21
  • Biomedical Engineering 112
  • Artificial Intelligence 82
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Yu Yang United States
Junxiang Li China
Minglun Fang China
Wenjing Gao China
Yiqing Luo China
Seunghwan Jeong South Korea
Xin Mao China
Scott K. Cooley United States
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Citations per year

Countries citing papers authored by Alma Rahat

Since Specialization
Citations

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

Fields of papers citing papers by Alma Rahat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alma Rahat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alma Rahat Line = papers co-authored together Alma Rahat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 202171
3 201858
4 201940
5 201728
6 201728
7 201627
8 202022
9 201410
10 20197
11 20157
12 20206
13 20215
14
Evaluating Mixed-Initiative Procedural Level Design Tools using a Triple-Blind Mixed-Method User Study
20215
15 20244
16 20233
17 20193
18 20243
19 20242
20 20252

About Alma Rahat

Alma Rahat is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 27 papers that have together received 407 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (6 papers), Energy Efficient Wireless Sensor Networks (3 papers), Energy Harvesting in Wireless Networks (3 papers), Ethics and Social Impacts of AI (2 papers), Probabilistic and Robust Engineering Design (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Machine Learning and Algorithms (2 papers) and Optimal Experimental Design Methods (2 papers). The work is most often cited by research in Computational Theory and Mathematics (86 citations), Management Science and Operations Research (48 citations), Statistics, Probability and Uncertainty (21 citations), Biomedical Engineering (112 citations) and Artificial Intelligence (82 citations). Alma Rahat has collaborated with scholars based in United Kingdom, China and Italy. Frequent co-authors include Richard Everson, Jonathan E. Fieldsend, George De Ath, Md Zahidul Islam Pranjol, Tanveer A. Tabish, Jacqueline L. Whatmore, Shaowei Zhang, Chunlin Wang, Trefa M. Abdullah and Hasan Hayat. Their work appears in journals such as Optimization and Engineering, Ad Hoc Networks, Applied Energy, Applied Ocean Research and International journal of computational fluid dynamics.

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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