K. Shahriar
About
In The Last Decade
K. Shahriar
71 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Mechanics of Materials 666
- Civil and Structural Engineering 527
- Mechanical Engineering 357
- Ocean Engineering 266
- Safety, Risk, Reliability and Quality 225
Countries citing papers authored by K. Shahriar
This map shows the geographic impact of K. Shahriar'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 K. Shahriar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Shahriar more than expected).
Fields of papers citing papers by K. Shahriar
This network shows the impact of papers produced by K. Shahriar. 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 K. Shahriar. The network helps show where K. Shahriar may publish in the future.
Co-authorship network of co-authors of K. Shahriar
This figure shows the co-authorship network connecting the top 25 collaborators of K. Shahriar. A scholar is included among the top collaborators of K. Shahriar 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 K. Shahriar. K. Shahriar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | A Comparison of Artificial Neural Network and Multiple Regression Analysis in TBM Performance Prediction | 14 |
| 10 | Developing In Situ Stresses Estimation Algorithm Using a Hybrid Numerical Method Based on Local Stress Measurement-Case Study: Seymare Dam | 1 |
| 11 | ENVIRONMENTAL IMPACT ASSESSMENT OF MINING ACTIVITIES. A NEW APPROACH FOR MINING METHODS SELECTION | 27 |
| 12 | A model to predict the performance of roadheaders based on the Rock Mass Brittleness Index | 27 |
| 13 | Predicting Hard Rock TBM Performance Using a Multiple Regression Analysis of RMR Classification System | 3 |
| 14 | Application of the Strain Energy to Estimate the Rock Load in Non-Squeezing Ground Condition | 10 |
| 15 | Quantifying the uncertainty of pillar safety factor by Monte Carlo simulation - A case study | 22 |
| 16 | Some experiments in-situ and in laboratory to determine the physico-mechanical properties of coal | 3 |
| 17 | Practical applications from decision-making techniques for selection of suitable mining method in Iran | 26 |
| 18 | A new model for mining method selection of mineral deposit based on fuzzy decision making | 47 |
| 19 | Geomechanical Characteristics Study of Deposit In Underground Mining Method Selection Process | 3 |
| 20 | Roadheader performance in Istanbul. Golden Horn clean-up contributes valuable data | 23 |
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.