Mahmut Yavuz

935 total citations
21 papers, 706 citations indexed

About

Mahmut Yavuz is a scholar working on Control and Systems Engineering, Mechanical Engineering and Management Science and Operations Research. According to data from OpenAlex, Mahmut Yavuz has authored 21 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 10 papers in Mechanical Engineering and 8 papers in Management Science and Operations Research. Recurrent topics in Mahmut Yavuz's work include Multi-Criteria Decision Making (8 papers), Mineral Processing and Grinding (8 papers) and Mining Techniques and Economics (7 papers). Mahmut Yavuz is often cited by papers focused on Multi-Criteria Decision Making (8 papers), Mineral Processing and Grinding (8 papers) and Mining Techniques and Economics (7 papers). Mahmut Yavuz collaborates with scholars based in Türkiye, Canada and United States. Mahmut Yavuz's co-authors include Melih Iphar, Hakan Ak, Ferat Sahin, Ziya Arnavut, Önder Uluyol, Clayton V. Deutsch, Sinem Bozkurt Keser, Erkan Topal and Melih Geniş and has published in prestigious journals such as Tunnelling and Underground Space Technology, Soil Dynamics and Earthquake Engineering and Environmental Earth Sciences.

In The Last Decade

Mahmut Yavuz

21 papers receiving 675 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mahmut Yavuz Türkiye	13	242	237	215	214	126	21	706
Hesam Dehghani Iran	16	184 0.8×	320 1.4×	308 1.4×	298 1.4×	170 1.3×	56	912
Reza Khalokakaie Iran	15	98 0.4×	285 1.2×	199 0.9×	194 0.9×	50 0.4×	34	640
Huidong Wang China	16	93 0.4×	275 1.2×	332 1.5×	207 1.0×	127 1.0×	61	921
Jianhong Chen China	14	196 0.8×	153 0.6×	241 1.1×	78 0.4×	23 0.2×	95	702
Masoud Zare Naghadehi Iran	18	94 0.4×	349 1.5×	184 0.9×	460 2.1×	124 1.0×	42	989
Mohammad Mahdi Abaei Australia	19	117 0.5×	114 0.5×	324 1.5×	119 0.6×	40 0.3×	37	932
Massimiliano Giorgio Italy	22	82 0.3×	126 0.5×	87 0.4×	528 2.5×	28 0.2×	73	1.4k
Kun Meng China	17	134 0.6×	122 0.5×	62 0.3×	858 4.0×	17 0.1×	88	1.2k
Wan Amizah Wan Jusoh Malaysia	7	47 0.2×	118 0.5×	121 0.6×	318 1.5×	15 0.1×	17	613

Countries citing papers authored by Mahmut Yavuz

Since Specialization

Citations

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

Fields of papers citing papers by Mahmut Yavuz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahmut Yavuz

This figure shows the co-authorship network connecting the top 25 collaborators of Mahmut Yavuz. A scholar is included among the top collaborators of Mahmut Yavuz 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 Mahmut Yavuz. Mahmut Yavuz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yavuz, Mahmut, et al.. (2022). Combination of Machine Learning and Kriging for Spatial Estimation of Geological Attributes. Natural Resources Research. 31(1). 191–213. 40 indexed citations

Yavuz, Mahmut, et al.. (2021). Grade estimation by a machine learning model using coordinate rotations. 130(1). 57–66. 3 indexed citations

Keser, Sinem Bozkurt, et al.. (2021). Grid Search Optimised Artificial Neural Network for Open Stope Stability Prediction. International Journal of Mining Reclamation and Environment. 35(8). 600–617. 30 indexed citations

Geniş, Melih, et al.. (2021). Preliminary support design for underground mine adit, Artana mine, Kosovo. Zonguldak Bülent Ecevit University Institutional Repository. 28. 2 indexed citations

Yavuz, Mahmut, et al.. (2020). Underground mining method assessment using decision-making techniques in a fuzzy environment: case study, Trepça mine, Kosovo. Mining of Mineral Deposits. 14(3). 134–140. 4 indexed citations

Topal, Erkan, et al.. (2017). Implementation and comparison of four stope boundary optimization algorithms in an existing underground mine. International Journal of Mining Reclamation and Environment. 31(6). 389–403. 33 indexed citations

Yavuz, Mahmut, et al.. (2017). Application of Three Existing Stope Boundary Optimisation Methods in an Operating Underground Mine. IOP Conference Series Earth and Environmental Science. 95. 42077–42077. 6 indexed citations

Yavuz, Mahmut. (2015). Equipment selection based on the AHP and Yager's method. Journal of the Southern African Institute of Mining and Metallurgy. 115(5). 425–433. 25 indexed citations

Yavuz, Mahmut, et al.. (2014). Reclamation project selection using fuzzy decision-making methods. Environmental Earth Sciences. 73(10). 6167–6179. 17 indexed citations

10.

Yavuz, Mahmut. (2014). The application of the analytic hierarchy process (AHP) and Yager’s method in underground mining method selection problem. International Journal of Mining Reclamation and Environment. 29(6). 453–475. 47 indexed citations

11.

Iphar, Melih, Mahmut Yavuz, & Hakan Ak. (2009). Reply to the comment on “Prediction of ground vibrations resulting from the blasting operations in an open pit mine by adaptive neuro-fuzzy inference system” by Tarkan Erdik. Environmental Earth Sciences. 59(2). 473–476. 3 indexed citations

12.

Iphar, Melih, Mahmut Yavuz, & Hakan Ak. (2009). Reply to the discussion on “Prediction of ground vibrations resulting from the blasting operations in an open pit mine by adaptive neuro-fuzzy inference system” by Yavuz Karsavran. Environmental Earth Sciences. 60(6). 1343–1345. 2 indexed citations

13.

Yavuz, Mahmut. (2008). Selection of plant location in the natural stone industry using the fuzzy multiple attribute decision making method. Journal of the Southern African Institute of Mining and Metallurgy. 108(10). 641–649. 8 indexed citations

14.

Yavuz, Mahmut, et al.. (2008). Underground mining method selection by decision making tools. Tunnelling and Underground Space Technology. 24(2). 173–184. 58 indexed citations

15.

Ak, Hakan, et al.. (2008). Evaluation of ground vibration effect of blasting operations in a magnesite mine. Soil Dynamics and Earthquake Engineering. 29(4). 669–676. 121 indexed citations

16.

Yavuz, Mahmut, et al.. (2008). Underground mining technique selection by multicriterion optimization methods. Journal of Mining Science. 44(4). 391–401. 15 indexed citations

17.

Iphar, Melih, Mahmut Yavuz, & Hakan Ak. (2007). Prediction of ground vibrations resulting from the blasting operations in an open-pit mine by adaptive neuro-fuzzy inference system. Environmental Geology. 56(1). 97–107. 140 indexed citations

18.

Yavuz, Mahmut, et al.. (2007). The optimum support design selection by using AHP method for the main haulage road in WLC Tuncbilek colliery. Tunnelling and Underground Space Technology. 23(2). 111–119. 41 indexed citations

19.

Sahin, Ferat, Mahmut Yavuz, Ziya Arnavut, & Önder Uluyol. (2007). Fault diagnosis for airplane engines using Bayesian networks and distributed particle swarm optimization. Parallel Computing. 33(2). 124–143. 80 indexed citations

20.

Yavuz, Mahmut, Ferat Sahin, Ziya Arnavut, & Önder Uluyol. (2006). Generating and exploiting bayesian networks for fault diagnosis in airplane engines. 250–255. 7 indexed citations

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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