Martijn C. Schut

1.7k total citations
73 papers, 742 citations indexed

About

Martijn C. Schut is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Networks and Communications. According to data from OpenAlex, Martijn C. Schut has authored 73 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 14 papers in Sociology and Political Science and 11 papers in Computer Networks and Communications. Recurrent topics in Martijn C. Schut's work include Evolutionary Game Theory and Cooperation (13 papers), Multi-Agent Systems and Negotiation (11 papers) and Evolutionary Algorithms and Applications (11 papers). Martijn C. Schut is often cited by papers focused on Evolutionary Game Theory and Cooperation (13 papers), Multi-Agent Systems and Negotiation (11 papers) and Evolutionary Algorithms and Applications (11 papers). Martijn C. Schut collaborates with scholars based in Netherlands, United Kingdom and United States. Martijn C. Schut's co-authors include A. E. Eiben, Michael Wooldridge, Geoff Nitschke, Ameen Abu‐Hanna, Jan Treur, Catholijn M. Jonker, Viara Popova, Michael Wooldridge, Simon Parsons and Dave A. Dongelmans and has published in prestigious journals such as PLoS ONE, Scientific Reports and Information Sciences.

In The Last Decade

Martijn C. Schut

68 papers receiving 684 citations

Peers

Countries citing papers authored by Martijn C. Schut

Since Specialization

Citations

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

Fields of papers citing papers by Martijn C. Schut

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martijn C. Schut. 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 Martijn C. Schut. The network helps show where Martijn C. Schut may publish in the future.

Co-authorship network of co-authors of Martijn C. Schut

This figure shows the co-authorship network connecting the top 25 collaborators of Martijn C. Schut. A scholar is included among the top collaborators of Martijn C. Schut 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 Martijn C. Schut. Martijn C. Schut 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

#	Work	Indexed citations
1	Artificial intelligence for early detection of lung cancer in GPs’ clinical notes: a retrospective observational cohort study 2025 ·British Journal of General Practice ·Martijn C. Schut, (unknown), (unknown), (unknown), Charles W. Helsper, Kristel M. van Asselt, Niek J. de Wit, Ameen Abu‐Hanna, Henk van Weert	3
2	CHIT1 and DDAH1 levels relate to amyloid-related imaging abnormalities risk profile in Alzheimer’s disease patients 2025 ·Alzheimer s Research & Therapy ·(unknown), Everard G.B. Vijverberg, (unknown), Sjors G. J. G. In ‘t Veld, Manuel Avilés, (unknown), (unknown), Allerdien Visser, Wiesje M. van der Flier, Frederik Barkhof, Marta del Campo, Martijn C. Schut, Alexandre Bejanin, Daniel Alcolea, Charlotte E. Teunissen, Lisa Vermunt	0
3	Embedding ethical and legal principles in AI-driven clinical practice: two use cases in laboratory diagnostics 2025 ·Pure Amsterdam UMC ·Marieke Bak, Martijn C. Schut, M.C. Ploem	2
4	A systematic review of fall prediction models for community-dwelling older adults: comparison between models based on research cohorts and models based on routinely collected data 2024 ·Age and Ageing ·(unknown), (unknown), Martijn W. Heymans, Martijn C. Schut, Stephanie Medlock, Natasja M. van Schoor, Nathalie van der Velde, Ameen Abu‐Hanna	6
5	Topic evolution before fall incidents in new fallers through natural language processing of general practitioners’ clinical notes 2024 ·Age and Ageing ·(unknown), Ameen Abu‐Hanna, Iacer Calixto, Martijn C. Schut, Martijn W. Heymans, Nathalie van der Velde	3
6	Early detection of colorectal cancer by leveraging Dutch primary care consultation notes with free text embeddings 2023 ·Scientific Reports ·(unknown), Ameen Abu‐Hanna, Henk van Weert, Martijn C. Schut	2
7	Association of Proton Pump Inhibitor Use With Risk of Acquiring Drug-Resistant Enterobacterales 2023 ·JAMA Network Open ·(unknown), Martijn C. Schut, (unknown), (unknown), Ameen Abu‐Hanna, Jos W. R. Twisk, Karin van Dijk, Christina M. J. E. Vandenbroucke‐Grauls	13
8	Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisal 2023 ·Journal of Biomedical Informatics ·(unknown), (unknown), (unknown), (unknown), (unknown), Paul Elbers, Dave A. Dongelmans, Martijn C. Schut, Ameen Abu‐Hanna	8
9	A Propensity Score Matched Approach to Assess the Associations of Commonly Prescribed Medications with Fall Risk in a Large Harmonized Cohort of Older Ambulatory Persons 2021 ·Drugs & Aging ·Lotta J Seppala, (unknown), Martijn C. Schut, Natasja M. van Schoor, Bruno H. Stricker, Rose Anne Kenny, Frank Moriarty, C.P.G.M. de Groot, Michael Denkinger, Dietrich Rothenbacher, Nathalie van der Velde, Ameen Abu‐Hanna	2
10	Development of a prediction model for foot ulcer recurrence in people with diabetes using easy-to-obtain clinical variables 2021 ·BMJ Open Diabetes Research & Care ·(unknown), Martijn C. Schut, Ameen Abu‐Hanna, Jeff G. van Baal, Jaap J. van Netten, Sicco A. Bus	13
11	Impact of Altering Data Granularity Levels on Predictive Modelling: A Case Study of Fall Risk Prediction in Older Persons 2020 ·Studies in health technology and informatics ·(unknown), Ameen Abu‐Hanna, Nathalie van der Velde, Martijn C. Schut	1
12	Guidelines for innovation platforms in agricultural research for development : decision support for research, development and funding agencies on how to design, budget and implement impactful innovation platforms 2017 ·Socio-Environmental Systems Modeling ·Martijn C. Schut, (unknown), (unknown), (unknown), Murat Sartas, (unknown), (unknown), (unknown), Dietmar Stoian, A. Devaux, Claudio Ríos-Velasco, (unknown), (unknown), Rica Joy Flor, (unknown), (unknown), Cynthia McDougall, Kristin Davis, Sabine Homann-Kee Tui, Mark Lundy	8
13	Individual-based simulation of sexual selection: A quantitative genetic approach 2010 ·Procedia Computer Science ·David van Dijk, P.M.A. Sloot, Joc Cing Tay, Martijn C. Schut	2
14	Modeling adaptive multi-agent organizations for naval missions 2006 ·Data Archiving and Networked Services (DANS) ·Mark Hoogendoorn, Catholijn M. Jonker, Martijn C. Schut, Jan Treur	1
15	Exploring Coordination Properties within Populations of Distributed Agents. 2006 ·Lincoln Repository (University of Lincoln) ·Elizabeth Sklar, Martijn C. Schut, Konrad Diwold, Simon Parsons	3
16	Understanding Performance Measurement and Control in Third Party Logistics 2005 ·Journal of the Association for Information Systems ·(unknown), (unknown), Viara Popova, Martijn C. Schut	8
17	APPROACH: decentralised rotation planning for container barges 2004 ·European Conference on Artificial Intelligence ·Martijn C. Schut, (unknown), (unknown), Marco Melis, Ian Miller	15
18	Modelling the Organisation of Organisational Change 2004 ·Data Archiving and Networked Services (DANS) ·Mark Hoogendoorn, Catholijn M. Jonker, Martijn C. Schut, Jan Treur	5
19	Preference Elicitation without Numbers 2004 ·Adaptive Agents and Multi-Agents Systems ·Peter H. M. P. Roelofsma, Martijn C. Schut	1
20	The control of reasoning in resource-bounded agents 2001 ·The Knowledge Engineering Review ·Martijn C. Schut, Michael Wooldridge	25

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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