Ed Noyons

3.3k total citations · 1 hit paper
60 papers, 2.2k citations indexed

About

Ed Noyons is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Information Systems and Management. According to data from OpenAlex, Ed Noyons has authored 60 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics, Probability and Uncertainty, 12 papers in Information Systems and 9 papers in Information Systems and Management. Recurrent topics in Ed Noyons's work include scientometrics and bibliometrics research (26 papers), Complex Network Analysis Techniques (7 papers) and Web visibility and informetrics (6 papers). Ed Noyons is often cited by papers focused on scientometrics and bibliometrics research (26 papers), Complex Network Analysis Techniques (7 papers) and Web visibility and informetrics (6 papers). Ed Noyons collaborates with scholars based in Netherlands, Brazil and Belgium. Ed Noyons's co-authors include Anthony F. J. van Raan, Henk F. Moed, Marc Luwel, Clara Calero‐Medina, Ludo Waltman, Nees Jan van Eck, Martijn S. Visser, A. J. Nederhof, Robert Tijssen and Paul Wouters and has published in prestigious journals such as SHILAP Revista de lepidopterología, Research Policy and Scientometrics.

In The Last Decade

Ed Noyons

58 papers receiving 2.1k citations

Hit Papers

The Leiden ranking 2011/2... 2012 2026 2016 2021 2012 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ed Noyons 672 383 325 286 269 60 2.2k
J Courtial 381 0.6× 381 1.0× 397 1.2× 351 1.2× 231 0.9× 37 2.4k
Vicente P. Guerrero‐Bote 968 1.4× 497 1.3× 205 0.6× 283 1.0× 187 0.7× 80 2.3k
Martijn S. Visser 1.4k 2.1× 464 1.2× 225 0.7× 151 0.5× 238 0.9× 32 2.5k
Jesper Wiborg Schneider 589 0.9× 209 0.5× 249 0.8× 161 0.6× 198 0.7× 71 1.9k
Rüdiger Mutz 1.6k 2.4× 435 1.1× 171 0.5× 279 1.0× 255 0.9× 61 3.1k
Éric Archambault 1.1k 1.6× 393 1.0× 216 0.7× 100 0.3× 255 0.9× 26 2.3k
Mu‐Hsuan Huang 774 1.2× 421 1.1× 623 1.9× 143 0.5× 683 2.5× 124 2.7k
Emilio Delgado López‐Cózar 1.1k 1.7× 657 1.7× 257 0.8× 169 0.6× 213 0.8× 174 3.8k
Katherine W. McCain 1.0k 1.5× 1.0k 2.7× 580 1.8× 513 1.8× 199 0.7× 53 3.7k
Zaida Chinchilla‐Rodríguez 855 1.3× 329 0.9× 182 0.6× 106 0.4× 167 0.6× 119 1.9k

Countries citing papers authored by Ed Noyons

Since Specialization
Citations

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

Fields of papers citing papers by Ed Noyons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ed Noyons

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

All Works

20 of 20 papers shown
1.
2.
Ràfols, Ismael, Ed Noyons, Hugo Confraria, & Tommaso Ciarli. (2021). Visualising plural mappings of science for Sustainable Development Goals (SDGs). SocArXiv (OSF Preprints). 19 indexed citations
3.
Noyons, Ed. (2019). Measuring Societal Impact Is as Complex as ABC. Journal of Data and Information Science. 4(3). 6–21. 19 indexed citations
4.
Noyons, Ed & A. Mälkki. (2019). Research performance analysis for the University of Helsinki 2012-2016/17. Työväentutkimus Vuosikirja.
5.
Noyons, Ed & Ismael Ràfols. (2018). Can bibliometrics help in assessing societal contributions of agricultural research? Exploring societal interactions across research areas. Leiden Repository (Leiden University). 1049–1057. 3 indexed citations
6.
Fonseca, Bruna de Paula Fonseca e, Priscila Costa Albuquerque, Ed Noyons, & Fábio Zicker. (2018). South-south collaboration on HIV/AIDS prevention and treatment research: when birds of a feather rarely flock together. Globalization and Health. 14(1). 25–25. 7 indexed citations
7.
Milanez, Douglas Henrique, et al.. (2017). Assessing Collaboration and Knowledge Flow on Coatings of Metallic Glasses Obtained From Thermal Spraying Processes Using Bibliometrics and Science Mapping. Materials Research. 20(suppl 1). 71–80. 3 indexed citations
8.
Milanez, Douglas Henrique & Ed Noyons. (2015). A Delineating Procedure to Retrieve Relevant Research Areas on Nanocellulose.. ISSI. 1 indexed citations
9.
Costas, Rodrigo, et al.. (2014). ‘Seed + expand’: a general methodology for detecting publication oeuvres of individual researchers. Scientometrics. 101(2). 1403–1417. 16 indexed citations
10.
Noyons, Ed. (2013). Uso de mapas da ciência no contexto de políticas científicas. Americanae (AECID Library). 18(3). 15–27. 1 indexed citations
11.
Noyons, Ed. (2012). Using bibliometric maps of science in a science policy context. SHILAP Revista de lepidopterología. 2 indexed citations
12.
Noyons, Ed, et al.. (2010). Searching for converging research using field to field citations. Scientometrics. 86(2). 325–338. 16 indexed citations
13.
Eck, Nees Jan van, et al.. (2008). Automatic Term Identification for Bibliometric Mapping. Data Archiving and Networked Services (DANS). 201 indexed citations
14.
Noyons, Ed, et al.. (2006). How to identify research groups using publication analysis: an example in the field of nanotechnology. Scientometrics. 66(2). 365–376. 59 indexed citations
15.
Noyons, Ed, et al.. (2004). A combination of quantitative and qualitative maps in an evaluative bibliometric context. Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004.. 978–982. 2 indexed citations
16.
Raan, Anthony F. J. van & Ed Noyons. (2002). Discovery of patterns of scientific and technological development and knowledge transfer. euroCRIS DSpace CRIS digital repository (The International Organisation for Research Information). 6 indexed citations
17.
Noyons, Ed. (2001). Bibliometric mapping of science in a policy context. Scientometrics. 50(1). 83–98. 112 indexed citations
18.
Noyons, Ed, et al.. (1999). Combining mapping and citation analysis for evaluative bibliometric purposes. Journal of the American Society for Information Science and Technology. 8 indexed citations
19.
Noyons, Ed & Anthony F. J. van Raan. (1998). Monitoring scientific developments from a dynamic perspective: Self‐organized structuring to map neural network research. Journal of the American Society for Information Science. 49(1). 68–81. 108 indexed citations
20.
Noyons, Ed, Anthony F. J. van Raan, H. Grupp, & Ulrich Schmoch. (1994). Exploring the science and technology interface: inventor-author relations in laser medicine research. Research Policy. 23(4). 443–457. 71 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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