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.
A Study on Multiple Linear Regression Analysis
2013708 citationsGülden Kaya Uyanık, Neşe Gülerprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Neşe Güler'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 Neşe Güler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neşe Güler more than expected).
This network shows the impact of papers produced by Neşe Güler. 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 Neşe Güler. The network helps show where Neşe Güler may publish in the future.
Co-authorship network of co-authors of Neşe Güler
This figure shows the co-authorship network connecting the top 25 collaborators of Neşe Güler.
A scholar is included among the top collaborators of Neşe Güler 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 Neşe Güler. Neşe Güler is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Güler, Neşe, et al.. (2021). A study on the teachers’ lifelong learning competences and their reading motivation: Sapanca sample. Digital Commons - University of South Florida (University of South Florida).2 indexed citations
İlhan, Mustafa & Neşe Güler. (2018). A Comparison of Difficulty Indices Calculated for Open-Ended Items According to Classical Test Theory and Many Facet Rasch Model. DergiPark (Istanbul University).1 indexed citations
12.
Güler, Neşe. (2014). An Evaluation of the Answer Key Used in Determining the 7th Grade Students' Levels of Disciplined Mind in Terms of Generalizability Theory.. Educational Research Review. 9(20). 872–878.
13.
Güler, Neşe, et al.. (2012). A Study of the Relationship between Problem Solving Skills Level and the Loneliness Level of the Elementary and High School Students. DergiPark (Istanbul University). 3(2). 10–16.1 indexed citations
Güler, Neşe. (2010). Generalizability Theory and Comparison of the Results of G and D Studies Computed by SPSS and GENOVA Packet Programs. Turkish Education Association - Journal of Education and Science.2 indexed citations
16.
Güler, Neşe & Selahattin Gelbal. (2010). A Study Based on Classic Test Theory and Many Facet Rasch Model. Eurasian Journal of Educational Research. 10(38). 108–125.4 indexed citations
17.
Güler, Neşe. (2010). Genellenebilirlik Kuramı ve SPSS ile GENOVA Programlarıyla Hesaplanan G ve K Çalışmalarına İlişkin Sonuçların Karşılaştırılması. EĞİTİM VE BİLİM. 34(154). 93–103.3 indexed citations
18.
Güler, Neşe & Selahattin Gelbal. (2010). Studying Reliability of Open Ended Mathematics Items According to the Classical Test Theory and Generalizability Theory.. Educational Sciences Theory & Practice. 10(2). 1011–1019.10 indexed citations
19.
Güler, Neşe, et al.. (2009). Scaling through pair-wise comparison method in required characteristics of students applying for post graduate programs. Journal of Human Sciences - Journal of Human Sciences.10 indexed citations
20.
Güler, Neşe, et al.. (2006). İKİLİ KARŞILAŞTIRMA YÖNTEMİ İLE ÖLÇEKLEME ÇALIŞMASINA BİR ÖRNEK. DergiPark (Istanbul University).2 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.