Countries citing papers authored by Jano van Hemert
Since
Specialization
Citations
This map shows the geographic impact of Jano van Hemert'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 Jano van Hemert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jano van Hemert more than expected).
This network shows the impact of papers produced by Jano van Hemert. 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 Jano van Hemert. The network helps show where Jano van Hemert may publish in the future.
Co-authorship network of co-authors of Jano van Hemert
This figure shows the co-authorship network connecting the top 25 collaborators of Jano van Hemert.
A scholar is included among the top collaborators of Jano van Hemert 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 Jano van Hemert. Jano van Hemert is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Silva, Paolo S., Jerry D. Cavallerano, Alan Fleming, et al.. (2020). Impact of Visible Retinal Area on Diabetic Retinopathy Severity and Detection of Predominantly Peripheral Lesions when Using Ultrawide Field Imaging. Investigative Ophthalmology & Visual Science. 61(7). 3201–3201.3 indexed citations
5.
Stanton, Robert C., Alan Fleming, Enrico Pellegrini, et al.. (2019). Association of Systemic Comorbities with Predominantly Peripheral Diabetic Retinopathy Lesions (PPL) Identified on Ultrawide Field (UWF) Retinal Imaging. Investigative Ophthalmology & Visual Science. 60(9). 4772–4772.2 indexed citations
Hemert, Jano van, et al.. (2018). Automated Hemorrhage and Microaneurysm Counts on Ultrawide Field Images Predict Increased Risk of Diabetic Retinopathy Progression Over 4 Years. Investigative Ophthalmology & Visual Science. 59(9). 737–737.3 indexed citations
8.
Sagong, Min, et al.. (2018). Difference of aqueous cytokines according to distribution of ischemia assessed by ultra-widefield fluorescein angiography in macular edema secondary to retinal vein occlusion. Investigative Ophthalmology & Visual Science. 59(9). 5432–5432.1 indexed citations
Sagong, Min, et al.. (2015). Comparison of ultra-widefield Optos imaging with and without phase mask implementation. Investigative Ophthalmology & Visual Science. 56(7). 1433–1433.2 indexed citations
11.
Holliman, Mark, et al.. (2011). Service Infrastructure for Cross-Matching Distributed Datasets Using OGSA-DAI and TAP. ASPC. 442. 579.1 indexed citations
12.
Yaikhom, Gagarine, Malcolm Atkinson, Jano van Hemert, Óscar Corcho, & Amy Krause. (2011). Validation and mismatch repair of workflows through typed data streams. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 369(1949). 3285–3299.4 indexed citations
Keijzer, Maarten, Andrea G. B. Tettamanzi, Pierre Collet, Jano van Hemert, & Marco Tomassini. (2005). Genetic Programming: 8th European Conference, EuroGP 2005, Lausanne, Switzerland, March 30-April 1, 2005, Proceedings (Lecture Notes in Computer Science).3 indexed citations
18.
Hemert, Jano van, et al.. (2001). An engineering approach to evolutionary art. Genetic and Evolutionary Computation Conference. 177–177.
19.
Hemert, Jano van, et al.. (1999). SAW-ing EAs: adapting the fitness function for solving constrained problems. 389–402.19 indexed citations
20.
Eiben, A. E., et al.. (1999). Population dynamics and emerging mental features in AEGIS. Genetic and Evolutionary Computation Conference. 1257–1264.2 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.