Bimal Kumar

1.9k total citations
86 papers, 1.2k citations indexed

About

Bimal Kumar is a scholar working on Building and Construction, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Bimal Kumar has authored 86 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Building and Construction, 19 papers in Management Science and Operations Research and 13 papers in Artificial Intelligence. Recurrent topics in Bimal Kumar's work include BIM and Construction Integration (28 papers), Construction Project Management and Performance (18 papers) and Design Education and Practice (8 papers). Bimal Kumar is often cited by papers focused on BIM and Construction Integration (28 papers), Construction Project Management and Performance (18 papers) and Design Education and Practice (8 papers). Bimal Kumar collaborates with scholars based in United Kingdom, India and Australia. Bimal Kumar's co-authors include Chimay Anumba, Konstantinos Domdouzis, S Hari, James Sommerville, Avril Thomson, Charles Egbu, Farzad Pour Rahimian, Benny Raphael, Ivan Glesk and Stephen Oliver and has published in prestigious journals such as Automation in Construction, Computers & Structures and Journal of Construction Engineering and Management.

In The Last Decade

Bimal Kumar

74 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bimal Kumar United Kingdom 17 481 250 209 205 180 86 1.2k
Saeed Asadi Bagloee Australia 21 555 1.2× 65 0.3× 79 0.4× 108 0.5× 194 1.1× 58 2.0k
Chien–Ho Ko Taiwan 19 488 1.0× 360 1.4× 60 0.3× 267 1.3× 67 0.4× 59 1.0k
Thomas Beach United Kingdom 18 827 1.7× 213 0.9× 38 0.2× 187 0.9× 75 0.4× 56 1.6k
Shang‐Hsien Hsieh Taiwan 26 878 1.8× 380 1.5× 40 0.2× 126 0.6× 66 0.4× 117 1.8k
Ronie Navon Israel 23 1.1k 2.3× 571 2.3× 55 0.3× 312 1.5× 103 0.6× 84 1.9k
Alexander Paz Australia 24 393 0.8× 75 0.3× 127 0.6× 59 0.3× 146 0.8× 132 1.8k
Paul M. Goodrum United States 25 1.0k 2.1× 1.0k 4.0× 123 0.6× 156 0.8× 104 0.6× 66 1.9k
Pardis Pishdad-Bozorgi United States 18 1.2k 2.5× 502 2.0× 65 0.3× 298 1.5× 61 0.3× 42 1.7k
Pablo Cortés Spain 24 894 1.9× 82 0.3× 36 0.2× 777 3.8× 143 0.8× 105 1.9k
Kamran Munir United Kingdom 14 436 0.9× 252 1.0× 36 0.2× 111 0.5× 38 0.2× 49 1.2k

Countries citing papers authored by Bimal Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Bimal Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bimal Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Bimal Kumar. A scholar is included among the top collaborators of Bimal Kumar 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 Bimal Kumar. Bimal Kumar 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.
Ameyaw, Ernest Effah, et al.. (2024). Understanding barriers to the adoption of blockchain-enabled smart contracts in construction projects: perspectives of construction practitioners. Smart and Sustainable Built Environment. 15(2). 597–621. 6 indexed citations
2.
Arayıcı, Yusuf, et al.. (2024). Machine and Deep Learning Implementations for Heritage Building Information Modelling: A Critical Review of Theoretical and Applied Research. Journal on Computing and Cultural Heritage. 17(3). 1–22. 4 indexed citations
3.
Kumar, Bimal, et al.. (2023). The pluralism of digital twins for urban management: Bridging theory and practice. Journal of Urban Management. 12(1). 16–32. 17 indexed citations
4.
Ameyaw, Ernest Effah, David J. Edwards, Bimal Kumar, et al.. (2023). Critical Factors Influencing Adoption of Blockchain-Enabled Smart Contracts in Construction Projects. Journal of Construction Engineering and Management. 149(3). 43 indexed citations
5.
Kumar, Bimal, et al.. (2021). A multi-dimensional digital twin use cases classification framework. Computing in construction. 2. 381–389. 4 indexed citations
6.
Kumar, Bimal, et al.. (2021). Application of semantic Web ontologies for the improvement of information exchange in existing buildings. Construction Innovation. 22(3). 444–464. 12 indexed citations
7.
Kumar, Bimal, et al.. (2019). Effect of Nano Iron Oxide on Strength and Durability Characteristics of High Volume Fly Ash Concrete for Pavement Construction. International Journal of Recent Technology and Engineering (IJRTE). 8(2). 4365–4373. 6 indexed citations
8.
Kumar, Bimal, et al.. (2017). Effectiveness of Implementing 5D Functions of Building Information Modeling on Professions of Quantity Surveying– A Review. 5(5). 783–800. 10 indexed citations
9.
Kumar, Bimal. (2016). A Practical Guide to Adopting BIM in Construction Projects. ResearchOnline. 17 indexed citations
10.
Kumar, Bimal, et al.. (2015). Evaluating the effectiveness of modern building engineering studios to deliver design for safety (DfS). ResearchOnline. 161–169. 2 indexed citations
11.
Kumar, Bimal, et al.. (2013). A comparative study to determine a suitable representational data model for UK building regulations. Journal of Information Technology in Construction. 18(2). 20–39. 3 indexed citations
12.
Kumar, Bimal. (2012). Building Information Modeling. ResearchOnline. 1(4). 1–7. 2 indexed citations
13.
Sinha, Sanjeev, et al.. (2010). Understanding project complexity from the perspective of a project manager. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1 indexed citations
14.
Thomson, Avril, Bimal Kumar, & Sanjeev Sinha. (2010). An innovative technique to measure complexity of a construction project activity. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde).
15.
Kumar, Bimal, et al.. (2009). A Framework for Analogy Based Estimation in Building Services. Civil-comp proceedings.
16.
Sommerville, James, et al.. (2008). RFID based 3D buried assets location system. Journal of Information Technology in Construction. 13(11). 155–165. 9 indexed citations
17.
Kumar, Bimal, et al.. (2006). Measuring Project Complexity: A Project Manager's Tool. Architectural Engineering and Design Management. 2(3). 187–202. 47 indexed citations
18.
Hari, S, Charles Egbu, & Bimal Kumar. (2005). A Knowledge Capture Awareness Tool: An Empirical Study on Small and Medium Enterprises in the Construction Industry. SSRN Electronic Journal. 3 indexed citations
19.
Kumar, Bimal, et al.. (2004). Architecture and HCI: a review of trends towards an integrative approach to designing responsive space. 2 indexed citations
20.
Raphael, Benny, et al.. (1994). Representing Design Cases Based on Methods. Computing in Civil Engineering. 255–292. 3 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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