Caglar Koylu

515 total citations
22 papers, 296 citations indexed

About

Caglar Koylu is a scholar working on Transportation, Statistical and Nonlinear Physics and Epidemiology. According to data from OpenAlex, Caglar Koylu has authored 22 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Transportation, 8 papers in Statistical and Nonlinear Physics and 5 papers in Epidemiology. Recurrent topics in Caglar Koylu's work include Human Mobility and Location-Based Analysis (10 papers), Complex Network Analysis Techniques (8 papers) and Geographic Information Systems Studies (4 papers). Caglar Koylu is often cited by papers focused on Human Mobility and Location-Based Analysis (10 papers), Complex Network Analysis Techniques (8 papers) and Geographic Information Systems Studies (4 papers). Caglar Koylu collaborates with scholars based in United States, United Kingdom and China. Caglar Koylu's co-authors include Diansheng Guo, İbrahim Demir, Muhammed Sit, Alice Bee Kasakoff, Marian Muste, Haowen Xu, Chang Zhao, Wei Shao, Bryce J. Dietrich and Xi Zhu and has published in prestigious journals such as The Science of The Total Environment, Computers Environment and Urban Systems and Crime & Delinquency.

In The Last Decade

Caglar Koylu

20 papers receiving 289 citations

Peers

Caglar Koylu

TRANS

SPS

GPC

GPD

Youngok Kang South Korea

Ourania Kounadi Austria

Levente Juhász United States

Han Qin United States

René Westerholt Germany

Erika Fille Legara Philippines

Bertrand De Longueville Italy

Friederike Klan Germany

Jennings Anderson United States

Jacinto Estima Portugal

Youngok Kang South Korea

Caglar Koylu

99 ×1.3

TRANS

97 ×1.4

SPS

26 ×0.5

59 ×1.3

GPC

21 ×0.5

GPD

Citations per year, relative to Caglar Koylu Caglar Koylu (= 1×) peers Youngok Kang

Countries citing papers authored by Caglar Koylu

Since Specialization

Citations

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

Fields of papers citing papers by Caglar Koylu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caglar Koylu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Koylu, Caglar & Alice Bee Kasakoff. (2025). Ethical Challenges in Analyzing and Mapping Historical Demographic Changes and Migration Using Population-Scale Family Trees. Cartographic Perspectives. 1 indexed citations

Koylu, Caglar, Alice Bee Kasakoff, & Maryam Torkashvand. (2025). US migration from 1850 to 1920: A comparison of family trees with linked census data. Historical Methods A Journal of Quantitative and Interdisciplinary History. 58(3). 160–174.

Koylu, Caglar, et al.. (2023). Revealing associations between spatial time series trends of COVID-19 incidence and human mobility: an analysis of bidirectionality and spatiotemporal heterogeneity. International Journal of Health Geographics. 22(1). 33–33. 1 indexed citations

Tang, Zhuo, Margaret Carrel, Caglar Koylu, & Andrew Kitchen. (2023). How human ecology landscapes shape the circulation of H5N1 avian influenza: A case study in Indonesia. One Health. 16. 100537–100537. 1 indexed citations

Andris, Clio, Caglar Koylu, & Mason A. Porter. (2023). Human-network regions as effective geographic units for disease mitigation. EPJ Data Science. 12(1). 1 indexed citations

Koylu, Caglar, et al.. (2023). Natural language processing meets spatial time series analysis and geovisualization: identifying and visualizing spatio-topical sentiment trends on Twitter. Cartography and Geographic Information Science. 50(6). 593–607. 2 indexed citations

Koylu, Caglar, et al.. (2022). Flowmapper.org: a web-based framework for designing origin–destination flow maps. Journal of Maps. 19(1). 8 indexed citations

Koylu, Caglar & Alice Bee Kasakoff. (2022). Measuring and mapping long-term changes in migration flows using population-scale family tree data. Cartography and Geographic Information Science. 49(2). 154–170. 4 indexed citations

Koylu, Caglar, Diansheng Guo, Yuan Huang, Alice Bee Kasakoff, & Jack Grieve. (2020). Connecting family trees to construct a population-scale and longitudinal geo-social network for the U.S. International Journal of Geographical Information Systems. 35(12). 2380–2423. 12 indexed citations

10.

Xu, Haowen, İbrahim Demir, Caglar Koylu, & Marian Muste. (2019). A web-based geovisual analytics platform for identifying potential contributors to culvert sedimentation. The Science of The Total Environment. 692. 806–817. 33 indexed citations

11.

Zhu, Xi, Diansheng Guo, Caglar Koylu, & Chongcheng Chen. (2019). Density-based multi-scale flow mapping and generalization. Computers Environment and Urban Systems. 77. 101359–101359. 17 indexed citations

12.

Sit, Muhammed, Caglar Koylu, & İbrahim Demir. (2019). Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma. International Journal of Digital Earth. 12(11). 1205–1229. 68 indexed citations

13.

Koylu, Caglar, et al.. (2018). Analysis of big patient mobility data for identifying medical regions, spatio-temporal characteristics and care demands of patients on the move. International Journal of Health Geographics. 17(1). 32–32. 22 indexed citations

14.

Koylu, Caglar, et al.. (2018). CarSenToGram: geovisual text analytics for exploring spatiotemporal variation in public discourse on Twitter. Cartography and Geographic Information Science. 46(1). 57–71. 13 indexed citations

15.

Koylu, Caglar. (2018). Modeling and visualizing semantic and spatio-temporal evolution of topics in interpersonal communication on Twitter. International Journal of Geographical Information Systems. 33(4). 805–832. 21 indexed citations

16.

Koylu, Caglar & Diansheng Guo. (2016). Design and evaluation of line symbolizations for origin–destination flow maps. Information Visualization. 16(4). 309–331. 29 indexed citations

17.

Koylu, Caglar. (2014). Understanding Geo-Social Network Patterns: Computation, Visualization, and Usability. Scholar Commons (University of South Carolina). 4 indexed citations

18.

Koylu, Caglar, Diansheng Guo, Alice Bee Kasakoff, & John W. Adams. (2013). Mapping family connectedness across space and time. Cartography and Geographic Information Science. 41(1). 14–26. 11 indexed citations

19.

Koylu, Caglar & Diansheng Guo. (2013). Smoothing locational measures in spatial interaction networks. Computers Environment and Urban Systems. 41. 12–25. 16 indexed citations

20.

Koylu, Caglar, Diansheng Guo, & Alice Bee Kasakoff. (2012). Mapping Social Relationships across Space and Time. 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.

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