Tejas G. Murthy

1.4k citations
54 papers · 966 · h-index 14

Impact in

Papers in

Tejas G. Murthy

48 papers receiving 939 citations

Peers

Tejas G. Murthy
Comparison fields: 5 of 75
  • Civil and Structural Engineering 439
  • Mechanics of Materials 216
  • Management, Monitoring, Policy and Law 103
  • Mechanical Engineering 303
  • Safety, Risk, Reliability and Quality 48
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Citations per field
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Citations per year

Countries citing papers authored by Tejas G. Murthy

Since Specialization
Citations

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

Fields of papers citing papers by Tejas G. Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tejas G. Murthy. 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 Tejas G. Murthy. The network helps show where Tejas G. Murthy may publish in the future.

Co-authors

The 25 scholars most cited alongside Tejas G. Murthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tejas G. Murthy Line = papers co-authored together Tejas G. Murthy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007242
2 2009147
3 201460
4 200956
5 201642
6 200841
7 201735
8 201735
9 200828
10 201225
11 201825
12 200817
13 201417
14 201517
15 202013
16 201613
17 201612
18 201510
19 202010
20 20149

About Tejas G. Murthy

Tejas G. Murthy is a scholar working on Civil and Structural Engineering, Mechanics of Materials, Computational Mechanics, Management, Monitoring, Policy and Law and Biomedical Engineering, having authored 54 papers that have together received 966 indexed citations. Recurring topics across this work include Geotechnical Engineering and Soil Mechanics (13 papers), Granular flow and fluidized beds (12 papers), Landslides and related hazards (11 papers), Metal and Thin Film Mechanics (10 papers), Geotechnical Engineering and Underground Structures (9 papers), Advanced Surface Polishing Techniques (8 papers), High-Velocity Impact and Material Behavior (7 papers) and Insect and Arachnid Ecology and Behavior (6 papers). The work is most often cited by research in Civil and Structural Engineering (439 citations), Mechanics of Materials (216 citations), Management, Monitoring, Policy and Law (103 citations), Mechanical Engineering (303 citations) and Safety, Risk, Reliability and Quality (48 citations). Tejas G. Murthy has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Christopher Saldaña, Srinivasan Chandrasekar, J. Antônio H. Carraro, Dimitrios Loukidis, Mônica Prezzi, Rodrigo Salgado, Ramesh Kannan Kandasami, Renee M. Borges, M. Ravi Shankar and Susan Gourvenec. Their work appears in journals such as Granular Matter, International Journal of Solids and Structures, Journal of materials research/Pratt's guide to venture capital sources, Scientific Reports and Scripta Materialia.

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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