İnci Batmaz

1.5k total citations · 1 hit paper
32 papers, 1.1k citations indexed

About

İnci Batmaz is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, İnci Batmaz has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 6 papers in Statistics and Probability. Recurrent topics in İnci Batmaz's work include Advanced Multi-Objective Optimization Algorithms (4 papers), Hydrological Forecasting Using AI (3 papers) and Greenhouse Technology and Climate Control (3 papers). İnci Batmaz is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (4 papers), Hydrological Forecasting Using AI (3 papers) and Greenhouse Technology and Climate Control (3 papers). İnci Batmaz collaborates with scholars based in Türkiye, Germany and Cyprus. İnci Batmaz's co-authors include Gülser Köksal, Murat Caner Testik, Gerhard‐Wilhelm Weber, Cem İyigün, Ceylan Yozgatlıgil, Ayşe Özmen, Semra Tunalı, Erik Kropat, Pakize Taylan and Murat Türkeş and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational Research.

In The Last Decade

İnci Batmaz

31 papers receiving 1.0k citations

Hit Papers

A review of data mining applications for quality improvem... 2011 2026 2016 2021 2011 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of data mining applications for quality improvement in manufacturing industry
    2011 324 citations Gülser Köksal, İnci Batmaz et al. Expert Systems with Applications profile →

Peers

İnci Batmaz
Jie Gong United States
Yong-Cheol Lee United States
Antonio Fernández Spain
Daniel Delahaye France
Mario Brito United Kingdom
Bistra Dilkina United States
Ian Flood United States
Diego J. Pedregal Spain
Song Jiang China
Subir Chowdhury Canada
Jie Gong United States
İnci Batmaz
Citations per year, relative to İnci Batmaz İnci Batmaz (= 1×) peers Jie Gong

Countries citing papers authored by İnci Batmaz

Since Specialization
Citations

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

Fields of papers citing papers by İnci Batmaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of İnci Batmaz

This figure shows the co-authorship network connecting the top 25 collaborators of İnci Batmaz. A scholar is included among the top collaborators of İnci Batmaz 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 İnci Batmaz. İnci Batmaz 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.
Batmaz, İnci, et al.. (2023). cmaRs: A powerful predictive data mining package in R. SoftwareX. 24. 101553–101553. 3 indexed citations
2.
Batmaz, İnci, et al.. (2022). Bilgi Yönetimi Bağlamında Metin Madenciliği Teknikleri ile Dijital İçerik Analizi. SHILAP Revista de lepidopterología.
3.
Ayhan, Hayriye, et al.. (2021). Interviewer allocation through interview–reinterview nested design for response error estimation in sample surveys. SHILAP Revista de lepidopterología. 22(2). 67–93. 1 indexed citations
4.
Karagöz, Pınar, et al.. (2020). Learning to rank by using multivariate adaptive regression splines and conic multivariate adaptive regression splines. Computational Intelligence. 37(1). 371–408. 4 indexed citations
5.
Dogan-Sander, Ezgi, Anja Willenberg, İnci Batmaz, et al.. (2019). Association of serum 25-hydroxyvitamin D concentrations with sleep phenotypes in a German community sample. PLoS ONE. 14(7). e0219318–e0219318. 13 indexed citations
6.
Batmaz, İnci, et al.. (2017). A data mining application to deposit pricing: Main determinants and prediction models. Applied Soft Computing. 60. 808–819. 12 indexed citations
7.
8.
Batmaz, İnci, et al.. (2014). A Review and New Contribution on Conic Multivariate Adaptive Regression Splines (CMARS): A Powerful Tool for Predictive Data Mining. Springer proceedings in mathematics & statistics. 695–722. 15 indexed citations
9.
Yozgatlıgil, Ceylan, et al.. (2012). Comparison of missing value imputation methods in time series: the case of Turkish meteorological data. Theoretical and Applied Climatology. 112(1-2). 143–167. 153 indexed citations
10.
Weber, Gerhard‐Wilhelm, et al.. (2011). CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization. Inverse Problems in Science and Engineering. 20(3). 371–400. 122 indexed citations
11.
Köksal, Gülser, İnci Batmaz, & Murat Caner Testik. (2011). A review of data mining applications for quality improvement in manufacturing industry. Expert Systems with Applications. 38(10). 13448–13467. 324 indexed citations breakdown →
12.
Köksal, Gülser, et al.. (2010). İmalat sektöründe kalite iyileştirmede veri madenciliği tekniklerinin kullanımı. DergiPark (Istanbul University). 1 indexed citations
13.
Batmaz, İnci, et al.. (2010). EVALUATING THE CMARS PERFORMANCE FOR MODELING NON-LINEARITIES. AIP conference proceedings. 351–357. 7 indexed citations
14.
Batmaz, İnci, et al.. (2009). Estimating the neutral real interest rate in an emerging market economy. Applied Economics. 43(6). 683–693. 10 indexed citations
15.
Öz, Firdevs Tulga, et al.. (2009). Adhesion to Primary and Permanent Dentin and a Simple Model Approach. European Journal of Dentistry. 3(1). 32–41. 19 indexed citations
16.
Batmaz, İnci, et al.. (2008). Defect Cause Modeling with Decision Tree and Regression Analysis. World Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering. 2(12). 1334–1337. 15 indexed citations
17.
Batmaz, İnci, et al.. (2006). Linear regression modeling to compare fluoride release profiles of various restorative materials. Dental Materials. 23(9). 1057–1065. 18 indexed citations
18.
Batmaz, İnci & Semra Tunalı. (2002). Second-Order Experimental Designs for Simulation Metamodeling. SIMULATION. 78(12). 699–715. 7 indexed citations
19.
Batmaz, İnci & Semra Tunalı. (2002). Small response surface designs for metamodel estimation. European Journal of Operational Research. 145(2). 455–470. 28 indexed citations
20.
Tunalı, Semra & İnci Batmaz. (2000). Dealing with the least squares regression assumptions in simulation metamodeling. Computers & Industrial Engineering. 38(2). 307–320. 12 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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