O.O. Ugwu

2.0k citations
48 papers · 1.6k · h-index 17

Impact in

Papers in

O.O. Ugwu

46 papers receiving 1.4k citations

Peers

O.O. Ugwu
Comparison fields: 5 of 95
  • Management Science and Operations Research 956
  • Building and Construction 894
  • Radiological and Ultrasound Technology 149
  • Strategy and Management 422
  • Management Information Systems 142
Replace Qinghua He with:
Qinghua He China
Nerija Banaitienė Lithuania
James Olabode Bamidele Rotimi New Zealand
Marcel Hertogh Netherlands
Jonas Šaparauskas Lithuania
Ekambaram Palaneeswaran Australia
Roger Flanagan United Kingdom
Abimbola Windapo South Africa
Keith D. Hampson Australia
Beliz Özorhon Türkiye
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Citations per field
00.5×2×3×4×4.8×
Qinghua He · 1×
Citations per year

Countries citing papers authored by O.O. Ugwu

Since Specialization
Citations

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

Fields of papers citing papers by O.O. Ugwu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside O.O. Ugwu, 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 O.O. Ugwu Line = papers co-authored together O.O. Ugwu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994370
2 2005326
3 2005183
4 2002101
5 200570
6 200246
7 200346
8 200341
9 200139
10 200338
11 200532
12 200132
13 200529
14 200429
15 200424
16 200423
17 201820
18 200115
19 200114
20
IT tools for collaborative working in relationally integrated supply chains
20038

About O.O. Ugwu

O.O. Ugwu is a scholar working on Management Science and Operations Research, Building and Construction, Artificial Intelligence, Civil and Structural Engineering and Management Information Systems, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Construction Project Management and Performance (17 papers), BIM and Construction Integration (16 papers), Multi-Agent Systems and Negotiation (11 papers), Auction Theory and Applications (6 papers), Sustainable Building Design and Assessment (5 papers), Outsourcing and Supply Chain Management (5 papers), Semantic Web and Ontologies (5 papers) and Collaboration in agile enterprises (4 papers). The work is most often cited by research in Management Science and Operations Research (956 citations), Building and Construction (894 citations), Radiological and Ultrasound Technology (149 citations), Strategy and Management (422 citations) and Management Information Systems (142 citations). O.O. Ugwu has collaborated with scholars based in United Kingdom, Hong Kong and Nigeria. Frequent co-authors include Theo C. Haupt, Tim Doran, NR MANSFIELD, Dilly Anumba, Mohan M. Kumaraswamy, S. Thomas Ng, Anthony Thorpe, Z. Ren, Chimay J. Anumba and Ziqiu Ren. Their work appears in journals such as Engineering Construction & Architectural Management, Automation in Construction, Advances in Engineering Software, International Journal of Project Management and Applied 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.

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