M. Hashish

73 papers receiving 2.2k citations

Peers

M. Hashish
Comparison fields: 5 of 70
  • Ecological Modeling 2.0k
  • Ocean Engineering 645
  • Civil and Structural Engineering 650
  • Mechanical Engineering 923
  • Biomedical Engineering 1.0k
Replace Akash Nag with:
Akash Nag Czechia
J. Folkes United Kingdom
Massimiliano Annoni Italy
Kuidong Gao China
S. Srinivas India
Toshiyuki OBIKAWA Japan
Myeong‐Woo Cho South Korea
D. Nowell United Kingdom
S.K. Choudhury India
Zhenqiang Yao China
M. Hashish relative to Akash Nag Czechia Akash Nag's profile →
Citations per field
00.5×10×20×28.3×
Akash Nag · 1×
Citations per year

Countries citing papers authored by M. Hashish

Since Specialization
Citations

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

Fields of papers citing papers by M. Hashish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside M. Hashish, 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 M. Hashish Line = papers co-authored together M. Hashish links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984294
2 1989213
3 1989146
4 1991143
5 1997136
6 1991131
7 1988120
8
Effect of using ground waste tire rubber as fine aggregate on the behaviour of concrete mixes
200787
9 197972
10 198771
11 198970
12 201965
13 199954
14 198949
15 199446
16 200145
17 199540
18 199836
19 199236
20 201035

About M. Hashish

M. Hashish is a scholar working on Ecological Modeling, Civil and Structural Engineering, Biomedical Engineering, Mechanical Engineering and Materials Chemistry, having authored 78 papers that have together received 2.4k indexed citations. Recurring topics across this work include Erosion and Abrasive Machining (56 papers), Advanced Surface Polishing Techniques (27 papers), Tunneling and Rock Mechanics (26 papers), Particle Dynamics in Fluid Flows (9 papers), Coal Combustion and Slurry Processing (9 papers), High-Velocity Impact and Material Behavior (8 papers), Fluid Dynamics and Heat Transfer (8 papers) and Surface Treatment and Residual Stress (7 papers). The work is most often cited by research in Ecological Modeling (2.0k citations), Ocean Engineering (645 citations), Civil and Structural Engineering (650 citations), Mechanical Engineering (923 citations) and Biomedical Engineering (1.0k citations). M. Hashish has collaborated with scholars based in United States, Egypt and Canada. Frequent co-authors include M. Ramulu, Rishi Pahuja, É. S. Geskin, Radovan Kovacevic, J. A. Hopkins, M. Duplessis, Michael Ohadi, Dwayne Arola, Michael G. Jenkins and Paul L. Miller. Their work appears in journals such as Journal of Engineering Materials and Technology, Journal of Pressure Vessel Technology, Journal of Manufacturing Science and Engineering, Applied Mathematical Modelling and International Journal of Control.

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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