M. Hashish

67 papers receiving 1.9k citations

Peers

M. Hashish
Comparison fields: 5 of 69
  • Ecological Modeling 1.7k
  • Ocean Engineering 585
  • Civil and Structural Engineering 575
  • Mechanical Engineering 795
  • Biomedical Engineering 871
Replace Massimiliano Annoni with:
Massimiliano Annoni Italy
J. Folkes United Kingdom
S. Srinivas India
Toshiyuki OBIKAWA Japan
Myeong‐Woo Cho South Korea
D. Nowell United Kingdom
Dianyin Hu China
Ciro Santus Italy
Zhenqiang Yao China
S.K. Choudhury India
M. Hashish relative to Massimiliano Annoni Italy Massimiliano Annoni's profile →
Citations per field
00.5×8.2×
Massimiliano Annoni · 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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984271
2 1989189
3 1989137
4 1991128
5 1997116
6 1991112
7 1988107
8
Effect of using ground waste tire rubber as fine aggregate on the behaviour of concrete mixes
200783
9 197968
10 201962
11 198959
12 198757
13 199947
14 198942
15 200141
16 199439
17 199537
18 199733
19 200633
20 200531

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 71 papers that have together received 2.1k indexed citations. Recurring topics across this work include Erosion and Abrasive Machining (49 papers), Advanced Surface Polishing Techniques (26 papers), Tunneling and Rock Mechanics (23 papers), Particle Dynamics in Fluid Flows (8 papers), High-Velocity Impact and Material Behavior (8 papers), Surface Treatment and Residual Stress (7 papers), Fluid Dynamics and Heat Transfer (6 papers) and Coal Combustion and Slurry Processing (5 papers). The work is most often cited by research in Ecological Modeling (1.7k citations), Ocean Engineering (585 citations), Civil and Structural Engineering (575 citations), Mechanical Engineering (795 citations) and Biomedical Engineering (871 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 Pressure Vessel Technology, Journal of Engineering Materials and Technology, Journal of Manufacturing Science and Engineering, Experimental Mechanics 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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