Mark Melenhorst

478 total citations
31 papers, 307 citations indexed

About

Mark Melenhorst is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Information Systems. According to data from OpenAlex, Mark Melenhorst has authored 31 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Human-Computer Interaction and 6 papers in Information Systems. Recurrent topics in Mark Melenhorst's work include Environmental Education and Sustainability (6 papers), Video Analysis and Summarization (5 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). Mark Melenhorst is often cited by papers focused on Environmental Education and Sustainability (6 papers), Video Analysis and Summarization (5 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). Mark Melenhorst collaborates with scholars based in Netherlands, Germany and Italy. Mark Melenhorst's co-authors include Jasminko Novak, Piero Fraternali, Andrea Emilio Rizzoli, Cristina Rottondi, Mark van Setten, Lex van Velsen, Mettina Veenstra, Francesca Cellina, Martha Larson and Ksenia Koroleva and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Modelling & Software and Interacting with Computers.

In The Last Decade

Mark Melenhorst

26 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Melenhorst Netherlands	10	64	63	55	51	48	31	307
Girish Bekaroo Mauritius	12	73 1.1×	48 0.8×	14 0.3×	43 0.8×	89 1.9×	47	431
Daniel Perry United States	9	76 1.2×	56 0.9×	21 0.4×	135 2.6×	148 3.1×	17	635
Francesca Cellina Switzerland	13	184 2.9×	97 1.5×	103 1.9×	14 0.3×	128 2.7×	49	566
Ben Bedwell United Kingdom	13	146 2.3×	171 2.7×	14 0.3×	37 0.7×	198 4.1×	28	620
Fabien Girardin Spain	11	6 0.1×	133 2.1×	16 0.3×	64 1.3×	27 0.6×	16	468
Anu Gokhale United States	11	14 0.2×	33 0.5×	50 0.9×	26 0.5×	18 0.4×	32	401
Tanguy Coenen Belgium	9	5 0.1×	70 1.1×	47 0.9×	62 1.2×	49 1.0×	22	324
Shu-Hsuan Chang Taiwan	6	14 0.2×	25 0.4×	30 0.5×	41 0.8×	6 0.1×	8	352
Hamed S. Alavi Switzerland	13	6 0.1×	34 0.5×	96 1.7×	81 1.6×	42 0.9×	54	611
Johan Koolwaaij Netherlands	11	16 0.3×	21 0.3×	10 0.2×	87 1.7×	19 0.4×	22	325

Countries citing papers authored by Mark Melenhorst

Since Specialization

Citations

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

Fields of papers citing papers by Mark Melenhorst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Melenhorst

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

All Works

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20 of 20 papers shown

Ruijer, Erna, et al.. (2023). Smart Governance Toolbox: A Systematic Literature Review. Smart Cities. 6(2). 878–896. 17 indexed citations

Melenhorst, Mark, et al.. (2022). Designing Guidelines for Smart City Collaboration Tools. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 2 indexed citations

Koroleva, Ksenia, et al.. (2019). Designing an integrated socio-technical behaviour change system for energy saving. Energy Informatics. 2(S1). 25 indexed citations

Fraternali, Piero, et al.. (2018). A Survey on the Design of Gamified Systems for Energy and Water Sustainability. Games. 9(3). 38–38. 33 indexed citations

Novak, Jasminko, et al.. (2018). Integrating behavioural change and gamified incentive modelling for stimulating water saving. Environmental Modelling & Software. 102. 120–137. 53 indexed citations

Tkalčič, Marko, Markus Schedl, Cynthia C. S. Liem, & Mark Melenhorst. (2016). Personalized Retrieval and Browsing of Classical Music and Supporting Multimedia Material. View. 393–396.

Novak, Jasminko, et al.. (2016). Behaviour change and incentive modelling for water saving: first results from the SmartH2O project. ScholarsArchive (Brigham Young University). 1–10. 9 indexed citations

Schedl, Markus, et al.. (2016). A personality-based adaptive system for visualizing classical music performances. Repositori digital de la UPF (Universitat Pompeu Fabra). 1–7. 3 indexed citations

Novak, Jasminko, et al.. (2016). A Crowd-Powered System for Fashion Similarity Search. ACM Transactions on Intelligent Systems and Technology. 7(4). 1–24. 5 indexed citations

10.

Schedl, Markus, David Hauger, Marko Tkalčič, Mark Melenhorst, & Cynthia C. S. Liem. (2016). A dataset of multimedia material about classical music: PHENICX-SMM. View. 18. 1–4. 4 indexed citations

11.

Melenhorst, Mark, et al.. (2015). Bridging the Utilitarian-Hedonic Divide in Crowdsourcing Applications. 9–14. 6 indexed citations

12.

Melenhorst, Mark, et al.. (2015). A tablet app to enrich the live and post-live experience of classical concerts. Research Repository (Delft University of Technology). 4 indexed citations

13.

Tkalčič, Marko, Bruce Ferwerda, Markus Schedl, et al.. (2014). Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters.. View. 6 indexed citations

14.

Novak, Jasminko, et al.. (2014). HistoGraph -- A Visualization Tool for Collaborative Analysis of Networks from Historical Social Multimedia Collections. Open Repository and Bibliography (University of Luxembourg). 241–250. 18 indexed citations

15.

Melenhorst, Mark, María Menéndez-Blanco, & Martha Larson. (2014). A Crowdsourcing Procedure for the Discovery of Non-Obvious Attributes of Social Images. View. 45–48. 3 indexed citations

16.

Velsen, Lex van & Mark Melenhorst. (2009). Incorporating user motivations to design for video tagging. Interacting with Computers. 21(3). 221–232. 14 indexed citations

17.

Melenhorst, Mark, et al.. (2008). User Motives for Tagging Video Content. Data Archiving and Networked Services (DANS). 3 indexed citations

18.

Melenhorst, Mark, et al.. (2008). Tag-based information retrieval of video content. 31–40. 21 indexed citations

19.

Melenhorst, Mark & Mark van Setten. (2007). Usefulness of Tags in Providing Access to Large Information Systems. 1–9. 5 indexed citations

20.

Melenhorst, Mark. (2005). Observing professionals taking notes on screen. University of Twente Research Information. 540–545.

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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