Fons Wijnhoven

1.7k total citations · 1 hit paper
61 papers, 1.1k citations indexed

About

Fons Wijnhoven is a scholar working on Management Information Systems, Strategy and Management and Management Science and Operations Research. According to data from OpenAlex, Fons Wijnhoven has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Management Information Systems, 14 papers in Strategy and Management and 14 papers in Management Science and Operations Research. Recurrent topics in Fons Wijnhoven's work include Business Process Modeling and Analysis (10 papers), Innovation and Knowledge Management (9 papers) and Big Data and Business Intelligence (7 papers). Fons Wijnhoven is often cited by papers focused on Business Process Modeling and Analysis (10 papers), Innovation and Knowledge Management (9 papers) and Big Data and Business Intelligence (7 papers). Fons Wijnhoven collaborates with scholars based in Netherlands, United States and Germany. Fons Wijnhoven's co-authors include Martijn Koot, Michel Ehrenhard, Jeroen Kraaijenbrink, Ton Spil, Tijs van den Broek, Antonie Jetter, Arend J. Groen, Chintan Amrit, Timo Saarinen and Jukka Heikkilä and has published in prestigious journals such as Applied Energy, Journal of the Operational Research Society and Technological Forecasting and Social Change.

In The Last Decade

Fons Wijnhoven

55 papers receiving 980 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Usage impact on data center electricity needs: A system dynamic forecasting model

2021 221 citations Fons Wijnhoven et al. profile →

Peers

Fons Wijnhoven

SM

MIS

COMMU

IS

SPS

Daniel Beverungen Germany

Tom Butler Ireland

Tzu‐Chuan Chou Taiwan

Stan Karanasios Australia

George Kuk United Kingdom

Ning Nan China

Pratyush Bharati United States

Junseok Hwang South Korea

Pratim Datta United States

Ranjit Bose United States

Daniel Beverungen Germany

Fons Wijnhoven

255 ×0.9

SM

297 ×1.2

MIS

142 ×0.8

COMMU

170 ×1.0

IS

275 ×1.7

SPS

Citations per year, relative to Fons Wijnhoven Fons Wijnhoven (= 1×) peers Daniel Beverungen

Countries citing papers authored by Fons Wijnhoven

Since Specialization

Citations

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

Fields of papers citing papers by Fons Wijnhoven

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fons Wijnhoven

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wijnhoven, Fons, et al.. (2025). Exploring the AI electricity crisis scenario: A case study of Texas-ERCOT. Next Energy. 8. 100341–100341.

2.

Wijnhoven, Fons, et al.. (2023). Using process mining for workarounds analysis in context: Learning from a small and medium-sized company case. International Journal of Information Management Data Insights. 3(1). 100163–100163. 6 indexed citations

3.

Borsci, Simone, Ville Lehtola, Francesco Nex, et al.. (2022). Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI & Society. 38(4). 1465–1484. 14 indexed citations

4.

Wijnhoven, Fons, et al.. (2021). Search Engine Gender Bias. Frontiers in Big Data. 4. 622106–622106. 8 indexed citations

5.

Wijnhoven, Fons, et al.. (2018). Review Spam Criteria for Enhancing a Review Spam Detector. Journal of the Association for Information Systems. 2 indexed citations

6.

Wijnhoven, Fons, et al.. (2017). Sentiment Analysis and Google Trends Data for Predicting Car Sales. Journal of the Association for Information Systems. 12 indexed citations

7.

Wijnhoven, Fons, et al.. (2016). Reducing waste in administrative services with lean principles. University of Twente Research Information. 4 indexed citations

8.

Ehrenhard, Michel, et al.. (2016). Unlocking how start-ups create business value with mobile applications: Development of an App-enabled Business Innovation Cycle. Technological Forecasting and Social Change. 115. 26–36. 47 indexed citations

9.

Göknil, Arda, et al.. (2014). Experimental evaluation of a tool for change impact prediction in requirements models: Design, results, and lessons learned. University of Twente Research Information. 57–66. 5 indexed citations

10.

Wijnhoven, Fons, et al.. (2011). The applicability of a use value-based file retention method. Journal of the Association for Information Systems. 275. 1 indexed citations

11.

Wijnhoven, Fons, et al.. (2010). The Hegelian Inquiring System and Critical Triangulation Tools for the Internet Information Slave.

12.

Wijnhoven, Fons, et al.. (2007). Total data quality management: a study of bridging rigor and relevance. Journal of the Association for Information Systems. 925–937. 7 indexed citations

13.

Jetter, Antonie, et al.. (2006). Knowledge Integration: The Practice of Knowledge Management in Small and Medium Enterprises. University of Twente Research Information. 29 indexed citations

14.

Wijnhoven, Fons, et al.. (2002). Internal electronic data market services: Architecture and user satisfaction evaluation of an ontology-based data market service. Data Archiving and Networked Services (DANS).

15.

Wijnhoven, Fons. (2002). The importance of information goods abstraction levels for information commerce process models. Journal of electronic commerce research. 3(2). 40–49. 4 indexed citations

16.

Wijnhoven, Fons. (1999). Managing dynamic organizational memories: Instruments for knowledge management. University of Twente Research Information. 15 indexed citations

17.

Wijnhoven, Fons. (1996). Organizational Memory and Information Technology: The Missing Link. University of Twente Research Information.

18.

Saarinen, Timo & Fons Wijnhoven. (1995). Organizational Learning and Evaluation of Information Systems. 4 indexed citations

19.

Wijnhoven, Fons. (1994). Organizational Learning and Evaluation of Information Systems. Working Papers W-111. University of Twente Research Information. 2 indexed citations

20.

Wijnhoven, Fons, et al.. (1990). Impact of information technology on organizations: The state of the art. International Journal of Information Management. 10(1). 35–53. 24 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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