Best Researcher Award
Yasemin Şişman
Ondokuz Mayıs University, Turkey
Yasemin Şişman is a Professor in the Department of Geomatics Engineering at Ondokuz Mayıs University, Turkey. Her research addresses coordinate transformation, adjustment computation, and the statistical application of earth modeling, with a documented record of 27 Scopus-indexed documents, 188 citations, and an h-index of 6 [1]. She has published in more than 26 international journals and over 40 conference papers [2]. Her work is recognised within Data Science and Analytics and is relevant to the Popular Engineer Awards event [3].
Abstract
This article presents an academic profile of Yasemin Şişman, a geomatics engineering researcher at Ondokuz Mayıs University whose work spans coordinate transformation, adjustment computation, and the statistical application of earth modeling [2]. Her Scopus record lists 27 documents, 188 citations, and an h-index of 6, while Google Scholar reports 602 citations, 115 documents, and an h-index of 13 [1]. On the basis of this sustained contribution, she is a suitable candidate for the Best Researcher Award under the Popular Engineer Awards event [3].
Keywords
- Data Science
- Analytics
- Geomatics
- Adjustment Calculation
- Numerical Analysis
- Coordinate Systems
Introduction
Yasemin Şişman received the B.Sc., M.Sc., and Ph.D. degrees in geomatics engineering from the Faculty of Engineering, Karadeniz Technical University, in 1992 and 2003, respectively. She is currently a Professor with the Department of Geomatics Engineering, Ondokuz Mayıs University [1]. Her research interests include coordinate transformation, adjustment computation, and statistical application of earth modeling, areas that connect geodetic measurement science with data-driven analytical methods [2].
Research Profile
The Scopus author profile for Yasemin Şişman records 27 documents, 188 citations, and an h-index of 6, with a subject classification in Data Science and Analytics [1]. The Web of Science Core Collection metrics indicate an h-index of 6, 28 publications, 164 total citations, and 151 citing articles; excluding self-citations, the researcher has 145 citations and 138 citing articles [4]. Google Scholar reports 602 citations, 115 documents, and an h-index of 13, indicating a broader citation footprint across indexed and non-indexed outlets [3]. A total of 33 documents are recorded, of which 32 are indexed in Web of Science, 28 are Web of Science Core Collection publications, and 1 is non-indexed [4].
Research Contributions
Her contributions focus on the numerical and statistical foundations of geomatics. Bektaş and Şişman compared L1 (1) and L2 (2)-norm minimization methods, a study relevant to robust adjustment computation [5]. Yasemin Şişman examined coordinate transformation of cadastral maps using different adjustment methods, linking transformation theory to cadastral practice [6]. Saygın, Şişman, Dengiz, and Şişman applied fuzzy-AHP and decision tree approaches to spatial assessment of landslide susceptibility mapping, extending her work into spatial analytics [7].
Publications
Her publication record includes over 26 international journal articles and more than 40 conference papers [2]. Representative outputs include the comparison of L1 and L2-norm minimization methods [5], coordinate transformation of cadastral maps using different adjustment methods [6], and spatial landslide susceptibility mapping with fuzzy-AHP and decision tree approaches [7]. A study on housing valuation in Tokat using multiple regression and artificial neural networks further illustrates her engagement with data science and analytics [8].
Research Impact
Citation metrics place her work within a consistent, moderate-impact band. Scopus reports 188 citations from 27 documents with an h-index of 6 [1], while Web of Science Core Collection reports 164 total citations and 151 citing articles, with 145 citations and 138 citing articles excluding self-citations [4]. Google Scholar, which covers a wider set of sources, reports 602 citations and an h-index of 13 [3]. These figures indicate sustained scholarly use of her methods and datasets across geomatics and spatial analytics.
Award Suitability
The Best Researcher Award recognises researchers whose documented output and citation record demonstrate sustained contribution to their field. Yasemin Şişman meets these criteria through 27 Scopus-indexed documents, 188 citations, and an h-index of 6 in Data Science and Analytics [1]. Her record of more than 26 international journal articles and over 40 conference papers, together with a Google Scholar h-index of 13, supports her suitability for recognition at the Popular Engineer Awards [3].
Conclusion
Yasemin Şişman has established a coherent research programme in geomatics engineering, combining coordinate transformation, adjustment computation, and statistical earth modeling with applied spatial analytics [2]. Her Scopus, Web of Science, and Google Scholar records show consistent citation activity and a stable publication stream [1][4]. On this evidence, her nomination for the Best Researcher Award is academically justified [3].
External Links
References
- Elsevier. (n.d.). Scopus author details: Yasemin Şişman, Author ID 36504950300. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=36504950300
- Ondokuz Mayıs University. (n.d.). Academic profile: Prof. Dr. Yasemin Şişman, Department of Geomatics Engineering. Ondokuz Mayıs University.
https://orcid.org/0000-0002-6600-0623
- Popular Engineer Awards. (n.d.). Best Researcher Award: Award criteria and nomination information. Popular Engineer Awards.
https://popularengineer.org/
- Clarivate. (n.d.). Web of Science author record: Yasemin Şişman, ResearcherID AAC-5787-2019. Web of Science.
https://www.webofscience.com/wos/author/record/AAC-5787-2019
- Bektaş, S., & Şişman, Y. (2010). The comparison of L1 (1) and L2 (2)-norm minimization methods. Academic publication.
https://scholar.google.com/citations?user=PxjkLw4AAAAJ&hl=en&oi=sra
- Şişman, Y. (2014). Coordinate transformation of cadastral maps using different adjustment methods. Journal of the Chinese Institute of Engineers, 37(7), 869–882.
https://doi.org/10.1080/02533839.2014.888800
- Saygın, F., Şişman, Y., Dengiz, O., & Şişman, A. (2023). Spatial assessment of landslide susceptibility mapping generated by fuzzy-AHP and decision tree approaches. Advances in Space Research, 71(12), 5218–5235.
https://doi.org/10.1016/j.asr.2023.01.057
- Tabar, M. E., Başara, A. C., & Şişman, Y. (2021). Çoklu regresyon ve yapay sinir ağları ile Tokat ilinde konut değerleme çalışması. Türkiye Arazi Yönetimi Dergisi, 3(1), 1–7.
https://dergipark.org.tr/en/pub/tayod/article/832227