Ismail Sulaimon

678 total citations · 1 hit paper
7 papers, 472 citations indexed

About

Ismail Sulaimon is a scholar working on Building and Construction, Civil and Structural Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ismail Sulaimon has authored 7 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Building and Construction, 2 papers in Civil and Structural Engineering and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Ismail Sulaimon's work include Building Energy and Comfort Optimization (3 papers), BIM and Construction Integration (2 papers) and Energy Efficiency and Management (2 papers). Ismail Sulaimon is often cited by papers focused on Building Energy and Comfort Optimization (3 papers), BIM and Construction Integration (2 papers) and Energy Efficiency and Management (2 papers). Ismail Sulaimon collaborates with scholars based in United Kingdom and Saudi Arabia. Ismail Sulaimon's co-authors include Razak Olu-Ajayi, Saheed Ajayi, Funlade Sunmola, Hafiz Alaka, Hafiz Alaka, Eren Demir, Abdul Hye, Ahmed Ghoneim and Mubarak Alrashoud and has published in prestigious journals such as Expert Systems with Applications, Automation in Construction and Energies.

In The Last Decade

Ismail Sulaimon

7 papers receiving 455 citations

Hit Papers

align trajectories

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.

Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques

2021 352 citations Razak Olu-Ajayi, Hafiz Alaka et al. Journal of Building Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ismail Sulaimon United Kingdom	5	344	199	162	95	39	7	472
Razak Olu-Ajayi United Kingdom	9	388 1.1×	231 1.2×	178 1.1×	108 1.1×	43 1.1×	11	548
Hafiz Alaka United Kingdom	4	349 1.0×	166 0.8×	134 0.8×	80 0.8×	32 0.8×	5	474
Ngoc-Son Truong Vietnam	8	292 0.8×	209 1.1×	128 0.8×	105 1.1×	53 1.4×	11	496
Christoph Waibel Switzerland	10	311 0.9×	138 0.7×	181 1.1×	74 0.8×	60 1.5×	37	464
Jordi Cipriano Spain	14	391 1.1×	233 1.2×	163 1.0×	170 1.8×	36 0.9×	38	624
Xuyuan Kang China	11	322 0.9×	203 1.0×	83 0.5×	66 0.7×	27 0.7×	25	445
Mathieu Bourdeau France	4	484 1.4×	383 1.9×	207 1.3×	150 1.6×	55 1.4×	5	705
Alberto Hernandez Neto Brazil	5	425 1.2×	271 1.4×	188 1.2×	120 1.3×	53 1.4×	11	556
Brodie W. Hobson Canada	9	286 0.8×	160 0.8×	105 0.6×	54 0.6×	35 0.9×	19	378
Cathal Hoare Ireland	11	613 1.8×	198 1.0×	305 1.9×	121 1.3×	78 2.0×	29	779

Countries citing papers authored by Ismail Sulaimon

Since Specialization

Citations

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

Fields of papers citing papers by Ismail Sulaimon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ismail Sulaimon

This figure shows the co-authorship network connecting the top 25 collaborators of Ismail Sulaimon. A scholar is included among the top collaborators of Ismail Sulaimon 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 Ismail Sulaimon. Ismail Sulaimon 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:

7 of 7 papers shown

1.

Alaka, Hafiz, et al.. (2024). Artificial intelligence for deconstruction: Current state, challenges, and opportunities. Automation in Construction. 166. 105641–105641. 9 indexed citations

2.

Olu-Ajayi, Razak, et al.. (2023). Building energy performance prediction: A reliability analysis and evaluation of feature selection methods. Expert Systems with Applications. 225. 120109–120109. 25 indexed citations

3.

Alaka, Hafiz, et al.. (2023). Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle. Energies. 17(1). 182–182. 11 indexed citations

4.

Sulaimon, Ismail, et al.. (2022). Effect of traffic data set on various machine-learning algorithms when forecasting air quality. Journal of Engineering Design and Technology. 22(3). 1030–1056. 4 indexed citations

5.

Olu-Ajayi, Razak, Hafiz Alaka, Ismail Sulaimon, Funlade Sunmola, & Saheed Ajayi. (2021). Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques. Journal of Building Engineering. 45. 103406–103406. 352 indexed citations breakdown →

6.

Olu-Ajayi, Razak, Hafiz Alaka, Ismail Sulaimon, Funlade Sunmola, & Saheed Ajayi. (2021). Machine learning for energy performance prediction at the design stage of buildings. Energy Sustainable Development. 66. 12–25. 70 indexed citations

7.

Sulaimon, Ismail, Ahmed Ghoneim, & Mubarak Alrashoud. (2019). A New Reinforcement Learning-Based Framework for Unbiased Autonomous Software Systems. 1–6. 1 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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