Grant Kululanga

959 total citations
23 papers, 705 citations indexed

About

Grant Kululanga is a scholar working on Management Science and Operations Research, Strategy and Management and Building and Construction. According to data from OpenAlex, Grant Kululanga has authored 23 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 8 papers in Strategy and Management and 6 papers in Building and Construction. Recurrent topics in Grant Kululanga's work include Construction Project Management and Performance (12 papers), Innovation and Knowledge Management (5 papers) and BIM and Construction Integration (4 papers). Grant Kululanga is often cited by papers focused on Construction Project Management and Performance (12 papers), Innovation and Knowledge Management (5 papers) and BIM and Construction Integration (4 papers). Grant Kululanga collaborates with scholars based in Malawi, United Kingdom and United States. Grant Kululanga's co-authors include R. McCaffer, Francis Tekyi Edum‐Fotwe, Andrew Price, Theresa Mkandawire, J.G. O’Neill, Harry Ngwangwa, P. Stephan Heyns, Martin Pritchard, A. S. Edmondson and Anthony Grimason and has published in prestigious journals such as International Journal of Environmental Research and Public Health, International Journal of Food Microbiology and Sustainability.

In The Last Decade

Grant Kululanga

21 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grant Kululanga Malawi 12 319 169 147 122 86 23 705
Abdullah O. Baarimah Malaysia 15 162 0.5× 48 0.3× 249 1.7× 126 1.0× 30 0.3× 69 643
Aawag Mohsen Alawag Malaysia 14 156 0.5× 44 0.3× 207 1.4× 86 0.7× 21 0.2× 42 482
Clara Cheung United Kingdom 19 253 0.8× 92 0.5× 285 1.9× 81 0.7× 49 0.6× 59 1.0k
Laith A. Hadidi Saudi Arabia 15 101 0.3× 157 0.9× 94 0.6× 10 0.1× 23 0.3× 37 626
Sasitharan Nagapan Malaysia 18 502 1.6× 175 1.0× 697 4.7× 117 1.0× 13 0.2× 81 990
Ahmed Osama Daoud Egypt 17 274 0.9× 86 0.5× 393 2.7× 40 0.3× 9 0.1× 38 570
Sheila Belayutham Malaysia 14 237 0.7× 91 0.5× 245 1.7× 32 0.3× 15 0.2× 52 560
Al‐Baraa Abdulrahman Al‐Mekhlafi Malaysia 13 82 0.3× 86 0.5× 125 0.9× 22 0.2× 17 0.2× 33 446
Hamed Hakim United States 7 179 0.6× 140 0.8× 451 3.1× 47 0.4× 4 0.0× 15 733
Hamidreza Izadbakhsh Iran 12 197 0.6× 69 0.4× 44 0.3× 17 0.1× 6 0.1× 48 490

Countries citing papers authored by Grant Kululanga

Since Specialization
Citations

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

Fields of papers citing papers by Grant Kululanga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grant Kululanga

This figure shows the co-authorship network connecting the top 25 collaborators of Grant Kululanga. A scholar is included among the top collaborators of Grant Kululanga 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 Grant Kululanga. Grant Kululanga 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.
2.
Kafodya, Innocent, et al.. (2023). Mechanical Performance and Physico-Chemical Properties of Limestone Calcined Clay Cement (LC3) in Malawi. Buildings. 13(3). 740–740. 20 indexed citations
3.
Mkandawire, Theresa, et al.. (2021). Resource-Efficient Characterisation of Pit Latrine Sludge for Use in Agriculture. Sustainability. 13(9). 4702–4702. 6 indexed citations
4.
Mkandawire, Theresa, et al.. (2020). Application of Process Intensification in the Treatment of Pit Latrine Sludge from Informal Settlements in Blantyre City, Malawi. International Journal of Environmental Research and Public Health. 17(9). 3296–3296. 5 indexed citations
5.
Mkandawire, Theresa, et al.. (2018). Predictive Modelling for Characterisation of Organics in Pit Latrine Sludge in Unplanned Settlements in Cities of Malawi. Journal of Ecological Engineering. 19(3). 141–145. 1 indexed citations
6.
7.
Kululanga, Grant. (2012). Capacity building of construction industries in Sub‐Saharan developing countries. Engineering Construction & Architectural Management. 19(1). 86–100. 11 indexed citations
8.
Kululanga, Grant, et al.. (2010). Measuring project risk management process for construction contractors with statement indicators linked to numerical scores. Engineering Construction & Architectural Management. 17(4). 336–351. 37 indexed citations
9.
Pritchard, Martin, Theresa Mkandawire, A. S. Edmondson, J.G. O’Neill, & Grant Kululanga. (2009). Potential of using plant extracts for purification of shallow well water in Malawi. Physics and Chemistry of the Earth Parts A/B/C. 34(13-16). 799–805. 118 indexed citations
10.
Ngwangwa, Harry, et al.. (2009). Reconstruction of road defects and road roughness classification using vehicle responses with artificial neural networks simulation. Journal of Terramechanics. 47(2). 97–111. 88 indexed citations
11.
Kululanga, Grant. (2009). Construction process improvement through cognitive power under team generative learning. Engineering Construction & Architectural Management. 16(4). 307–324. 7 indexed citations
12.
Kululanga, Grant, et al.. (2008). Measuring organisational learning through project reviews. Engineering Construction & Architectural Management. 15(6). 580–595. 15 indexed citations
13.
Abrahamsen, Roger K., et al.. (2008). Microbiological hazard identification and exposure assessment of food prepared and served in rural households of Lungwena, Malawi. International Journal of Food Microbiology. 125(2). 111–116. 54 indexed citations
14.
Kululanga, Grant & Andrew Price. (2005). Measuring Quality of Writing of Construction Specifications. Journal of Construction Engineering and Management. 131(8). 859–865. 8 indexed citations
15.
Kululanga, Grant, Andrew Price, & R. McCaffer. (2002). Empirical Investigation of Construction Contractors' Organizational Learning. Journal of Construction Engineering and Management. 128(5). 385–391. 37 indexed citations
16.
Davies, Jeremy, et al.. (2002). Development of a curriculum and training of supervision teams in borehole construction in Malawi. 1 indexed citations
17.
Kululanga, Grant, et al.. (2001). Construction Contractors' Claim Process Framework. Journal of Construction Engineering and Management. 127(4). 309–314. 95 indexed citations
18.
Kululanga, Grant, Francis Tekyi Edum‐Fotwe, & R. McCaffer. (2001). Measuring construction contractors' organizational learning. Building Research & Information. 29(1). 21–29. 55 indexed citations
19.
Kululanga, Grant, Andrew Price, & Ronald McCaffer. (1999). Dynamics of learning for advancing improvement in organisations within the construction industry. Loughborough University Institutional Repository (Loughborough University). 1 indexed citations
20.
Kululanga, Grant, R. McCaffer, Andrew Price, & Francis Tekyi Edum‐Fotwe. (1999). Learning Mechanisms Employed by Construction Contractors. Journal of Construction Engineering and Management. 125(4). 215–223. 60 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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2026