Linda Mountain

42 total papers · 673 total citations
33 papers, 519 citations indexed

About

Linda Mountain is a scholar working on Safety, Risk, Reliability and Quality, Civil and Structural Engineering and Radiological and Ultrasound Technology. According to data from OpenAlex, Linda Mountain has authored 33 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Safety, Risk, Reliability and Quality, 16 papers in Civil and Structural Engineering and 7 papers in Radiological and Ultrasound Technology. Recurrent topics in Linda Mountain's work include Traffic and Road Safety (19 papers), Infrastructure Maintenance and Monitoring (14 papers) and Occupational Health and Safety Research (7 papers). Linda Mountain is often cited by papers focused on Traffic and Road Safety (19 papers), Infrastructure Maintenance and Monitoring (14 papers) and Occupational Health and Safety Research (7 papers). Linda Mountain collaborates with scholars based in United Kingdom and Malta. Linda Mountain's co-authors include Mike Maher, W.M. Hirst, Richard D. Connors, Karl Ropkins, Dale W. Steele, Maria Nordström and Christine Wright and has published in prestigious journals such as Accident Analysis & Prevention, The Photogrammetric Record and Transportation Planning and Technology.

In The Last Decade

Linda Mountain

30 papers receiving 453 citations

Author Peers

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

Author Last Decade Papers Cites
Linda Mountain 450 175 148 116 116 33 519
Michael Pawlovich 420 0.9× 190 1.1× 126 0.9× 94 0.8× 110 0.9× 24 468
Jonathan Wood 339 0.8× 177 1.0× 113 0.8× 136 1.2× 57 0.5× 35 544
Emanuele Sacchi 487 1.1× 151 0.9× 172 1.2× 143 1.2× 62 0.5× 30 555
Byung-Jung Park 315 0.7× 202 1.2× 76 0.5× 175 1.5× 85 0.7× 27 510
Jake Kononov 448 1.0× 152 0.9× 139 0.9× 181 1.6× 66 0.6× 23 499
Michael S. Griffith 338 0.8× 94 0.5× 123 0.8× 94 0.8× 57 0.5× 30 475
Grazia La Cava 402 0.9× 88 0.5× 211 1.4× 126 1.1× 83 0.7× 23 489
Doohee Nam 348 0.8× 263 1.5× 129 0.9× 257 2.2× 44 0.4× 43 584
H C Joksch 362 0.8× 94 0.5× 63 0.4× 40 0.3× 71 0.6× 50 505
Mahdi Rezapour 431 1.0× 163 0.9× 129 0.9× 128 1.1× 147 1.3× 50 554

Countries citing papers authored by Linda Mountain

Since Specialization
Citations

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

Fields of papers citing papers by Linda Mountain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Mountain

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