Tolga Zaman

848 total citations
50 papers, 616 citations indexed

About

Tolga Zaman is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Tolga Zaman has authored 50 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistics and Probability, 10 papers in Statistics, Probability and Uncertainty and 3 papers in Artificial Intelligence. Recurrent topics in Tolga Zaman's work include Survey Sampling and Estimation Techniques (35 papers), Advanced Statistical Methods and Models (22 papers) and Advanced Statistical Process Monitoring (10 papers). Tolga Zaman is often cited by papers focused on Survey Sampling and Estimation Techniques (35 papers), Advanced Statistical Methods and Models (22 papers) and Advanced Statistical Process Monitoring (10 papers). Tolga Zaman collaborates with scholars based in Türkiye, Pakistan and India. Tolga Zaman's co-authors include Cem Kadılar, Usman Shahzad, Anoop Kumar, Muhammad Ijaz, Subhash Kumar Yadav, Mehmet Şahin, Muhammad Hanif, Manahil SidAhmed Mustafa, Shashi Bhushan and Zhensheng Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Mathematics and Computation.

In The Last Decade

Tolga Zaman

46 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tolga Zaman Türkiye 15 560 63 62 23 20 50 616
Usman Shahzad Pakistan 14 508 0.9× 54 0.9× 38 0.6× 20 0.9× 14 0.7× 65 566
G. N. Singh India 13 569 1.0× 21 0.3× 128 2.1× 41 1.8× 27 1.4× 131 624
Nadia Hashim Al-Noor Iraq 12 272 0.5× 64 1.0× 24 0.4× 7 0.3× 10 0.5× 49 334
Prayas Sharma India 11 208 0.4× 63 1.0× 49 0.8× 44 1.9× 13 0.7× 48 345
Hülya Çıngı Türkiye 13 871 1.6× 57 0.9× 90 1.5× 46 2.0× 38 1.9× 23 915
Nursel Koyuncu Türkiye 13 569 1.0× 73 1.2× 55 0.9× 15 0.7× 18 0.9× 48 604
Subhash Kumar Yadav India 12 295 0.5× 12 0.2× 34 0.5× 24 1.0× 47 2.4× 86 400
Pedro Rafael Diniz Marinho Brazil 8 289 0.5× 168 2.7× 29 0.5× 6 0.3× 4 0.2× 18 343
Shonosuke Sugasawa Japan 10 132 0.2× 19 0.3× 56 0.9× 16 0.7× 16 0.8× 65 305
Ali Akbar Jafari Iran 11 409 0.7× 215 3.4× 59 1.0× 7 0.3× 3 0.1× 65 516

Countries citing papers authored by Tolga Zaman

Since Specialization
Citations

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

Fields of papers citing papers by Tolga Zaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tolga Zaman

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

All Works

20 of 20 papers shown
1.
Yadav, Akhilesh Kumar, Dharmendra Kumar Yadav, Subhash Kumar Yadav, & Tolga Zaman. (2025). A novel neutrosophic estimation method for handling uncertainty in population mean estimation. Quality & Quantity.
2.
Zaman, Tolga, et al.. (2025). Neutrosophic exponential estimators for estimating the population mean using auxiliary attributes: An application to temperature data. Hacettepe Journal of Mathematics and Statistics. 54(6). 2363–2379.
3.
Yadav, Subhash Kumar, et al.. (2024). AN EFFICIENT FAMILY OF RATIO TYPE ESTIMATORS FOR SIMPLE RANDOM SAMPLING. Journal of Science and Arts. 24(1). 69–94. 2 indexed citations
4.
Yadav, Subhash Kumar, et al.. (2024). Improved memory-type ratio estimator for population mean in stratified random sampling under linear and non-linear cost functions. Soft Computing. 28(13-14). 7739–7754. 2 indexed citations
5.
Pandey, Mohit, et al.. (2024). A general class of improved population variance estimators under non-sampling errors using calibrated weights in stratified sampling. Scientific Reports. 14(1). 2948–2948. 10 indexed citations
6.
Zaman, Tolga, et al.. (2024). A NEW LOGARITHMIC TYPE ESTIMATORS FOR ANALYSIS OF NUMBER OF AFTERSHOCKS USING POISSON DISTRIBUTION. Journal of Science and Arts. 24(4). 833–842. 1 indexed citations
7.
Bhushan, Shashi, et al.. (2023). Efficient Difference and Ratio-Type Imputation Methods under Ranked Set Sampling. Axioms. 12(6). 558–558. 17 indexed citations
8.
Zaman, Tolga, et al.. (2023). A NEW LOGARITHMIC RATIO TYPE ESTIMATOR OF POPULATION MEAN FOR SIMPLE RANDOM SAMPLING: A SIMULATION STUDY. Journal of Science and Arts. 24(4). 839–848. 3 indexed citations
9.
Zaman, Tolga, et al.. (2023). An efficient Hartley–Ross type estimators of nonsensitive and sensitive variables using robust regression methods in sample surveys. Journal of Computational and Applied Mathematics. 440. 115645–115645. 5 indexed citations
10.
Zaman, Tolga, et al.. (2023). Robust calibration for estimating the population mean using stratified random sampling. Scientia Iranica. 0(0). 0–0. 14 indexed citations
11.
Huang, Zhensheng, et al.. (2022). Compromised imputation based mean estimators using robust quantile regression. Communication in Statistics- Theory and Methods. 53(5). 1700–1715. 17 indexed citations
12.
Yadav, Subhash Kumar, et al.. (2022). QUESTING ELEVATED FAMILY OF PRODUCT ESTIMATORS OF POPULATION MEAN USING AUXILIARY VARIABLES. Journal of Science and Arts. 22(2). 343–350. 1 indexed citations
13.
Ijaz, Muhammad, et al.. (2020). AN IMPROVED CLASS OF REGRESSION ESTIMATORS USING THE AUXILIARY INFORMATION. Journal of Science and Arts. 20(4). 789–800. 4 indexed citations
14.
Zaman, Tolga. (2020). An efficient exponential estimator of the mean under stratified random sampling. Mathematical Population Studies. 28(2). 104–121. 34 indexed citations
15.
Zaman, Tolga & Cem Kadılar. (2019). New class of exponential estimators for finite population mean in two-phase sampling. Communication in Statistics- Theory and Methods. 50(4). 874–889. 35 indexed citations
16.
Zaman, Tolga, et al.. (2019). An improved class of robust ratio estimators by using the minimum covariance determinant estimation. Communications in Statistics - Simulation and Computation. 51(5). 2457–2463. 19 indexed citations
17.
Zaman, Tolga, et al.. (2018). ROBUST HEDONİK MODELLERİN KARŞILAŞTIRILMASI: BEETLE TÜRKİYE PİYASA FİYATINI ETKİLEYEN FAKTÖRLERİN İNCELENMESİ. DergiPark (Istanbul University). 19(1). 24–43. 1 indexed citations
18.
Zaman, Tolga, et al.. (2016). A Study Based on the Application of Bootstrap and Jackknife Methods in Simple Linear Regression Analysis. International Journal of Sciences: Basic and Applied Research. 30(5). 63–74.
19.
Zaman, Tolga, et al.. (2016). Determining the Factors Affecting the Price of Beetle in Turkish Market via Hedonic Price Model. International Journal of Sciences: Basic and Applied Research. 30(5). 295–301.
20.
Zaman, Tolga, et al.. (2013). The Simulation and Minimization of Loss Probability in the Tandem Queueing with Two Heterogeneous Channels. Mathematical Problems in Engineering. 2013. 1–4. 4 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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