Ned M. Cleland

22 total papers · 3.0k total citations
11 papers, 447 citations indexed

About

Ned M. Cleland is a scholar working on Civil and Structural Engineering, Building and Construction and Nuclear Energy and Engineering. According to data from OpenAlex, Ned M. Cleland has authored 11 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Civil and Structural Engineering, 7 papers in Building and Construction and 1 paper in Nuclear Energy and Engineering. Recurrent topics in Ned M. Cleland's work include Structural Behavior of Reinforced Concrete (6 papers), Structural Engineering and Vibration Analysis (5 papers) and Seismic Performance and Analysis (3 papers). Ned M. Cleland is often cited by papers focused on Structural Behavior of Reinforced Concrete (6 papers), Structural Engineering and Vibration Analysis (5 papers) and Seismic Performance and Analysis (3 papers). Ned M. Cleland collaborates with scholars based in United States and New Zealand. Ned M. Cleland's co-authors include Suman Ghosh, José I. Restrepo, Sri Sritharan, Yahya C. Kurama, Robert B. Fleischman, Richard S. Henry, Patricio Bonelli, Soumya K. Ghosh, Surya K. Ghosh and Sami Rizkalla and has published in prestigious journals such as Journal of Structural Engineering, Earthquake Spectra and PCI Journal.

In The Last Decade

Ned M. Cleland

10 papers receiving 434 citations

Hit Papers

Seismic-Resistant Precast... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ned M. Cleland 428 366 7 6 5 11 447
Masafumi NARIKAWA 356 0.8× 355 1.0× 7 1.0× 10 1.7× 6 1.2× 19 412
Ping‐Hsiung Wang 485 1.1× 377 1.0× 12 1.7× 4 0.7× 6 1.2× 19 493
Diana Arboleda 522 1.2× 424 1.2× 5 0.7× 7 1.2× 14 542
Carlos A. Blandón 505 1.2× 277 0.8× 9 1.3× 17 2.8× 16 3.2× 22 527
Lu Wei 347 0.8× 200 0.5× 11 1.6× 12 2.0× 5 1.0× 18 405
Zhan-Fei Huang 407 1.0× 221 0.6× 18 2.6× 14 2.3× 7 1.4× 12 414
Yucong He 423 1.0× 346 0.9× 9 1.3× 4 0.7× 10 435
Ankit Agrawal 406 0.9× 272 0.7× 7 1.0× 4 0.7× 8 413
Carmen Ibáñez 519 1.2× 473 1.3× 15 2.1× 9 1.5× 3 0.6× 29 529
Mostafa Fakharifar 456 1.1× 400 1.1× 6 0.9× 5 0.8× 2 0.4× 16 478

Countries citing papers authored by Ned M. Cleland

Since Specialization
Citations

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

Fields of papers citing papers by Ned M. Cleland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ned M. Cleland. 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 Ned M. Cleland. The network helps show where Ned M. Cleland may publish in the future.

Co-authorship network of co-authors of Ned M. Cleland

This figure shows the co-authorship network connecting the top 25 collaborators of Ned M. Cleland. A scholar is included among the top collaborators of Ned M. Cleland 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 Ned M. Cleland. Ned M. Cleland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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