Madhar Haddad

34 total papers · 2.2k total citations
19 papers, 1.7k citations indexed

About

Madhar Haddad is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Control and Systems Engineering. According to data from OpenAlex, Madhar Haddad has authored 19 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Civil and Structural Engineering, 10 papers in Mechanics of Materials and 4 papers in Control and Systems Engineering. Recurrent topics in Madhar Haddad's work include Seismic Performance and Analysis (8 papers), Fatigue and fracture mechanics (7 papers) and Structural Load-Bearing Analysis (5 papers). Madhar Haddad is often cited by papers focused on Seismic Performance and Analysis (8 papers), Fatigue and fracture mechanics (7 papers) and Structural Load-Bearing Analysis (5 papers). Madhar Haddad collaborates with scholars based in Canada, United Arab Emirates and Qatar. Madhar Haddad's co-authors include T. H. Topper, KN Smith, Norman E. Dowling, Nigel G. Shrive, Robert Tremblay, Chen Liang, Yann Rouchausse, Olivier Traxer, Esteban Emiliani and Steeve Doizi and has published in prestigious journals such as Construction and Building Materials, Engineering Fracture Mechanics and Computers & Structures.

In The Last Decade

Madhar Haddad

16 papers receiving 1.6k citations

Hit Papers

Prediction of non propaga... 1979 2026 1994 2010 1979 1979 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Madhar Haddad 1.4k 1.1k 441 389 139 19 1.7k
Ayhan Ince 1.2k 0.9× 1.2k 1.1× 360 0.8× 255 0.7× 129 0.9× 54 1.6k
H. Neuber 1.6k 1.2× 1.1k 1.0× 605 1.4× 377 1.0× 134 1.0× 59 2.0k
R. G. Forman 1.3k 1.0× 988 0.9× 424 1.0× 332 0.9× 268 1.9× 30 1.7k
Guian Qian 1.1k 0.8× 1.2k 1.1× 252 0.6× 624 1.6× 183 1.3× 74 1.9k
Anil K. Thayamballi 556 0.4× 1.3k 1.3× 709 1.6× 601 1.5× 135 1.0× 41 1.6k
J. C. Newman 2.1k 1.5× 1.2k 1.1× 584 1.3× 519 1.3× 231 1.7× 82 2.4k
R. Craig McClung 1.5k 1.1× 1.1k 1.1× 355 0.8× 450 1.2× 321 2.3× 76 1.9k
Mauro Madia 1.4k 1.0× 1.5k 1.4× 288 0.7× 453 1.2× 110 0.8× 76 1.9k
Daniel Kujawski 2.0k 1.4× 1.3k 1.2× 655 1.5× 498 1.3× 202 1.5× 86 2.2k
P. Papanikos 1.0k 0.7× 814 0.8× 313 0.7× 905 2.3× 32 0.2× 39 2.1k

Countries citing papers authored by Madhar Haddad

Since Specialization
Citations

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

Fields of papers citing papers by Madhar Haddad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhar Haddad

This figure shows the co-authorship network connecting the top 25 collaborators of Madhar Haddad. A scholar is included among the top collaborators of Madhar Haddad 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 Madhar Haddad. Madhar Haddad 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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