Jurjen Wagemaker

776 total citations
9 papers, 499 citations indexed

About

Jurjen Wagemaker is a scholar working on Communication, Global and Planetary Change and Sociology and Political Science. According to data from OpenAlex, Jurjen Wagemaker has authored 9 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Communication, 5 papers in Global and Planetary Change and 3 papers in Sociology and Political Science. Recurrent topics in Jurjen Wagemaker's work include Public Relations and Crisis Communication (6 papers), Flood Risk Assessment and Management (5 papers) and Disaster Management and Resilience (3 papers). Jurjen Wagemaker is often cited by papers focused on Public Relations and Crisis Communication (6 papers), Flood Risk Assessment and Management (5 papers) and Disaster Management and Resilience (3 papers). Jurjen Wagemaker collaborates with scholars based in Netherlands, United States and South Africa. Jurjen Wagemaker's co-authors include Brenden Jongman, Hans de Moel, Jens de Bruijn, Jeroen C. J. H. Aerts, Erin Coughlan de Perez, Dirk Eilander, Beatriz Revilla-Romero, Patricia Trambauer, Marleen de Ruiter and Kathelijne Mariken Wijnberg and has published in prestigious journals such as Hydrology and earth system sciences, Scientific Data and Natural hazards and earth system sciences.

In The Last Decade

Jurjen Wagemaker

9 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jurjen Wagemaker Netherlands 7 298 145 122 103 86 9 499
Jens Kersten Germany 13 279 0.9× 139 1.0× 75 0.6× 67 0.7× 112 1.3× 42 736
Jens de Bruijn Netherlands 13 291 1.0× 109 0.8× 106 0.9× 60 0.6× 218 2.5× 29 592
Wen Lin United Kingdom 10 223 0.7× 92 0.6× 44 0.4× 31 0.3× 60 0.7× 21 453
Joachim Fohringer Germany 3 168 0.6× 90 0.6× 80 0.7× 53 0.5× 45 0.5× 6 285
Luke Smith United Kingdom 8 307 1.0× 196 1.4× 36 0.3× 32 0.3× 159 1.8× 15 486
Julian Rosser United Kingdom 10 183 0.6× 91 0.6× 28 0.2× 21 0.2× 58 0.7× 16 392
Michael Jackson United Kingdom 7 170 0.6× 87 0.6× 31 0.3× 21 0.2× 59 0.7× 24 415
Benjamin Herfort Germany 12 241 0.8× 77 0.5× 198 1.6× 182 1.8× 18 0.2× 32 858
Sumit Dugar United Kingdom 7 214 0.7× 92 0.6× 138 1.1× 19 0.2× 84 1.0× 16 363
Valerio Lorini Italy 7 243 0.8× 89 0.6× 41 0.3× 29 0.3× 230 2.7× 16 377

Countries citing papers authored by Jurjen Wagemaker

Since Specialization
Citations

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

Fields of papers citing papers by Jurjen Wagemaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jurjen Wagemaker

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

All Works

9 of 9 papers shown
1.
Bruijn, Jens de, Hans de Moel, Brenden Jongman, et al.. (2019). A global database of historic and real-time flood events based on social media. Scientific Data. 6(1). 311–311. 107 indexed citations
2.
Bruijn, Jens de, Hans de Moel, Brenden Jongman, Jurjen Wagemaker, & Jeroen C. J. H. Aerts. (2017). TAGGS: Grouping Tweets to Improve Global Geotagging for Disaster Response. 6 indexed citations
3.
Eilander, Dirk, et al.. (2017). Probabilistic flood extent estimates from social media flood observations. Natural hazards and earth system sciences. 17(5). 735–747. 58 indexed citations
4.
Bruijn, Jens de, Hans de Moel, Brenden Jongman, Jurjen Wagemaker, & Jeroen C. J. H. Aerts. (2017). TAGGS: Grouping Tweets to Improve Global Geoparsing for Disaster Response. Journal of Geovisualization and Spatial Analysis. 2(1). 70 indexed citations
5.
Perez, Erin Coughlan de, Bart van den Hurk, Maarten van Aalst, et al.. (2016). Action-based flood forecasting for triggering humanitarian action. Hydrology and earth system sciences. 20(9). 3549–3560. 72 indexed citations
6.
Hürriyetoğlu, Ali, Jurjen Wagemaker, N.H.J. Oostdijk, & Antal van den Bosch. (2016). Analysing the Role of Key Term Inflections in Knowledge Discovery on Twitter. Data Archiving and Networked Services (DANS). 1 indexed citations
7.
Eilander, Dirk, et al.. (2016). Harvesting Social Media for Generation of Near Real-time Flood Maps. Procedia Engineering. 154. 176–183. 79 indexed citations
8.
Eilander, Dirk, et al.. (2015). Real-time flood extent maps based on social media. EGUGA. 9143. 1 indexed citations
9.
Jongman, Brenden, Jurjen Wagemaker, Beatriz Revilla-Romero, & Erin Coughlan de Perez. (2015). Early Flood Detection for Rapid Humanitarian Response: Harnessing Near Real-Time Satellite and Twitter Signals. ISPRS International Journal of Geo-Information. 4(4). 2246–2266. 105 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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