Anu Pradhan

589 total citations
29 papers, 465 citations indexed

About

Anu Pradhan is a scholar working on Building and Construction, Environmental Engineering and Geology. According to data from OpenAlex, Anu Pradhan has authored 29 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Building and Construction, 6 papers in Environmental Engineering and 6 papers in Geology. Recurrent topics in Anu Pradhan's work include BIM and Construction Integration (6 papers), Remote Sensing and LiDAR Applications (6 papers) and 3D Surveying and Cultural Heritage (6 papers). Anu Pradhan is often cited by papers focused on BIM and Construction Integration (6 papers), Remote Sensing and LiDAR Applications (6 papers) and 3D Surveying and Cultural Heritage (6 papers). Anu Pradhan collaborates with scholars based in United States, Iran and Ireland. Anu Pradhan's co-authors include Burcu Akinci, Debra F. Laefer, Esin Ergen, G. Mahinthakumar, William Rasdorf, Carl T. Haas, Carol C. Menassa, Amir H. Behzadan, James H. Garrett and Engin Burak Anil and has published in prestigious journals such as Automation in Construction, Journal of Construction Engineering and Management and Advanced Engineering Informatics.

In The Last Decade

Anu Pradhan

29 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anu Pradhan United States 12 173 137 91 79 58 29 465
Do Hyoung Shin South Korea 16 223 1.3× 250 1.8× 148 1.6× 46 0.6× 36 0.6× 43 802
Wonho Suh South Korea 15 218 1.3× 79 0.6× 24 0.3× 87 1.1× 19 0.3× 62 593
Mahmoud R. Halfawy Canada 13 239 1.4× 421 3.1× 62 0.7× 29 0.4× 74 1.3× 27 687
Jacob J. Lin Taiwan 13 306 1.8× 271 2.0× 355 3.9× 42 0.5× 125 2.2× 34 829
Tzong-Hann Wu Taiwan 6 92 0.5× 55 0.4× 146 1.6× 27 0.3× 76 1.3× 7 408
Pin‐Chan Lee Taiwan 14 189 1.1× 123 0.9× 77 0.8× 119 1.5× 58 1.0× 25 829
Muhammad Arslan France 14 351 2.0× 149 1.1× 115 1.3× 40 0.5× 10 0.2× 54 693
Chenxi Yuan United States 14 108 0.6× 184 1.3× 63 0.7× 50 0.6× 11 0.2× 38 568
Christophe Cruz France 14 314 1.8× 84 0.6× 118 1.3× 17 0.2× 19 0.3× 65 685
Sung-Keun Kim South Korea 13 254 1.5× 132 1.0× 81 0.9× 33 0.4× 20 0.3× 35 535

Countries citing papers authored by Anu Pradhan

Since Specialization
Citations

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

Fields of papers citing papers by Anu Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anu Pradhan

This figure shows the co-authorship network connecting the top 25 collaborators of Anu Pradhan. A scholar is included among the top collaborators of Anu Pradhan 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 Anu Pradhan. Anu Pradhan 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.
Grandi, P., et al.. (2023). Intravesical Infusion of Oncolytic Virus CG0070 in the Treatment of Bladder Cancer. Methods in molecular biology. 2684. 303–317. 10 indexed citations
2.
Pradhan, Anu, et al.. (2016). Computational Modeling of Networked Infrastructures: Macroscopic Multivariate Approach. Journal of Computing in Civil Engineering. 30(6). 2 indexed citations
3.
Behzadan, Amir H., Carol C. Menassa, & Anu Pradhan. (2015). Enabling real time simulation of architecture, engineering, construction, and facility management (AEC/FM) systems: a review of formalism, model architecture, and data representation.. Journal of Information Technology in Construction. 20(1). 1–23. 20 indexed citations
4.
Pradhan, Anu, et al.. (2015). Vulnerability of Infrastructure Systems: Macroscopic Analysis of Critical Disruptions on Road Networks. Journal of Infrastructure Systems. 22(1). 23 indexed citations
5.
Ellenberg, Andrew, A. Emin Aktan, Franklin Moon, et al.. (2014). Multispectral Aerial Imaging for Infrastructure Evaluation. 123–130. 2 indexed citations
6.
Pradhan, Anu, et al.. (2014). Automated Detection of Damaged Areas after Hurricane Sandy using Aerial Color Images. Computing in Civil and Building Engineering (2014). 1796–1803. 8 indexed citations
7.
Pradhan, Anu, et al.. (2013). Network-Wide Assessment of Transportation Systems Using an Epidemic Spreading Methodology. Computing in Civil Engineering. 387–394. 2 indexed citations
8.
Pradhan, Anu & Franklin Moon. (2013). Formalized Approach for Accurate Geometry Capture through Laser Scanning. Computing in Civil Engineering. 597–604. 3 indexed citations
9.
Tang, Pingbo & Anu Pradhan. (2012). Automating and Optimizing Spatial Data Processing Workflows for Civil Infrastructure Inspection. Construction Research Congress 2012. 1. 899–908. 1 indexed citations
10.
Pradhan, Anu, et al.. (2012). Binary and Multi-Class Classification of Fused LIDAR-Imagery Data Using an Ensemble Method. Construction Research Congress 2012. 909–918. 3 indexed citations
11.
Pradhan, Anu & Burcu Akinci. (2012). A taxonomy of reasoning mechanisms and data synchronization framework for road excavation productivity monitoring. Advanced Engineering Informatics. 26(3). 563–573. 13 indexed citations
12.
Akinci, Burcu, James H. Garrett, Lúcio Soibelman, et al.. (2011). Sensing and Field Data Capture for Construction and Facility Operations. Journal of Construction Engineering and Management. 137(10). 870–881. 55 indexed citations
13.
Pradhan, Anu & Burcu Akinci. (2011). Planning-Based Approach for Fusing Data from Multiple Sources for Construction Productivity Monitoring. Journal of Computing in Civil Engineering. 26(4). 530–540. 13 indexed citations
14.
Pradhan, Anu, Burcu Akinci, & Carl T. Haas. (2010). Formalisms for query capture and data source identification to support data fusion for construction productivity monitoring. Automation in Construction. 20(4). 389–398. 33 indexed citations
15.
Pradhan, Anu, Burcu Akinci, & James H. Garrett. (2009). Development and Testing of Inertial Measurement System for Indoor Localization. 2008. 115–124. 5 indexed citations
16.
Pradhan, Anu, Debra F. Laefer, & William Rasdorf. (2007). Infrastructure Management Information System Framework Requirements for Disasters. Journal of Computing in Civil Engineering. 21(2). 90–101. 47 indexed citations
17.
Kiziltas, Semiha, Anu Pradhan, & Burcu Akinci. (2006). Developing Integrated Project Histories By Leveraging Multi-Sensor Data Fusion. 3354–3363. 3 indexed citations
18.
Laefer, Debra F. & Anu Pradhan. (2006). GIS-Based Disaster Management Systems: Cogent Data Framework. Transportation Research Board 85th Annual MeetingTransportation Research Board. 1 indexed citations
19.
Laefer, Debra F. & Anu Pradhan. (2006). Evacuation Route Selection Based on Tree-Based Hazards Using Light Detection and Ranging and GIS. Journal of Transportation Engineering. 132(4). 312–320. 33 indexed citations
20.
Pradhan, Anu. (2003). Infrastructure Management Information System Framework for Disasters. NCSU Libraries Repository (North Carolina State University Libraries). 2 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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