Steven Van Canneyt

19 total papers · 481 total citations
13 papers, 242 citations indexed

About

Steven Van Canneyt is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Steven Van Canneyt has authored 13 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Steven Van Canneyt's work include Complex Network Analysis Techniques (5 papers), Human Mobility and Location-Based Analysis (5 papers) and Topic Modeling (4 papers). Steven Van Canneyt is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Human Mobility and Location-Based Analysis (5 papers) and Topic Modeling (4 papers). Steven Van Canneyt collaborates with scholars based in Belgium and United Kingdom. Steven Van Canneyt's co-authors include Bart Dhoedt, Cedric De Boom, Thomas Demeester, Steven Schockaert, Olivier Van Laere, Mounia Lalmas, Marc Bron, Andy Haines and Chris Develder and has published in prestigious journals such as Information Sciences, Pattern Recognition Letters and Multimedia Tools and Applications.

In The Last Decade

Steven Van Canneyt

13 papers receiving 228 citations

Author Peers

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

Author						Papers	Cites
Steven Van Canneyt	135	56	50	40	38	13	242
Dimitrios Kotzias	179 1.3×	68 1.2×	38 0.8×	18 0.5×	20 0.5×	10	272
Yuto Yamaguchi	61 0.5×	59 1.1×	47 0.9×	78 1.9×	26 0.7×	19	205
Ting Hua	122 0.9×	66 1.2×	32 0.6×	91 2.3×	61 1.6×	12	232
Tim Baldwin	150 1.1×	66 1.2×	103 2.1×	52 1.3×	34 0.9×	12	315
Fengmei Jin	190 1.4×	54 1.0×	27 0.5×	44 1.1×	21 0.6×	11	253
George Valkanas	84 0.6×	83 1.5×	26 0.5×	94 2.4×	42 1.1×	22	253
Tae Yano	192 1.4×	56 1.0×	20 0.4×	62 1.6×	48 1.3×	16	283
Hamed Abdelhaq	96 0.7×	101 1.8×	87 1.7×	107 2.7×	59 1.6×	12	274
Raquel Martínez	145 1.1×	96 1.7×	10 0.2×	72 1.8×	51 1.3×	16	250
Eric Malmi	225 1.7×	40 0.7×	22 0.4×	11 0.3×	15 0.4×	25	302

Countries citing papers authored by Steven Van Canneyt

Since Specialization

Citations

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

Fields of papers citing papers by Steven Van Canneyt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Van Canneyt. 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 Steven Van Canneyt. The network helps show where Steven Van Canneyt may publish in the future.

Co-authorship network of co-authors of Steven Van Canneyt

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

All Works

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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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