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.
This map shows the geographic impact of Mark S. Fox'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 S. Fox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Fox more than expected).
This network shows the impact of papers produced by Mark S. Fox. 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 S. Fox. The network helps show where Mark S. Fox may publish in the future.
Co-authorship network of co-authors of Mark S. Fox
This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Fox.
A scholar is included among the top collaborators of Mark S. Fox 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 S. Fox. Mark S. Fox is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fox, Mark S., et al.. (2019). An Ontology-Based Standard for Transportation Planning..4 indexed citations
3.
Fox, Mark S., et al.. (2018). Ontology of Social Service Needs: Perspective of a Cognitive Agent..
4.
Diamond, Sara, Mark S. Fox, Ajaz Hussain, et al.. (2018). iCity: big data and visualization urban transportation strategies. 401–402.1 indexed citations
5.
Fox, Mark S., et al.. (2017). Households, The Homeless and Slums Towards a Standard for Representing City Shelter Open Data.. National Conference on Artificial Intelligence.4 indexed citations
6.
Fox, Mark S., et al.. (2017). General Model of Human Motivation and Goal Ranking. National Conference on Artificial Intelligence. 1(2). 332–337.1 indexed citations
7.
Fox, Mark S., et al.. (2005). The Emerging Legal Environment for Podcasting. Swinburne Research Bank (Swinburne University of Technology).
Beck, J. Christopher & Mark S. Fox. (1999). Scheduling alternative activities. National Conference on Artificial Intelligence. 680–687.24 indexed citations
Beck, J. Christopher, et al.. (1997). Texture-based heuristics for scheduling revisited. National Conference on Artificial Intelligence. 241–248.36 indexed citations
12.
Fox, Mark S. & Norman Sadeh. (1990). Why is scheduling difficult? a CSP perspective. European Conference on Artificial Intelligence. 754–767.32 indexed citations
13.
Fox, Mark S., et al.. (1987). An investigation of opportunistic constraint satisfaction in space planning. International Joint Conference on Artificial Intelligence. 1035–1038.14 indexed citations
14.
Rychener, Michael D., et al.. (1986). Integration of multiple knowledge sources in ALADIN, an alloy design system. National Conference on Artificial Intelligence. 878–882.5 indexed citations
Fox, Mark S., et al.. (1982). Job-shop scheduling: an investigation in constraint-directed reasoning. National Conference on Artificial Intelligence. 155–158.55 indexed citations
17.
Fox, Mark S.. (1981). Factory modelling, simulation and scheduling in the intelligent management system. International Joint Conference on Artificial Intelligence. 1058–1058.2 indexed citations
18.
Fox, Mark S. & Raj Reddy. (1977). Knowledge-guided learning of structural descriptions. International Joint Conference on Artificial Intelligence. 318–318.2 indexed citations
Fox, Mark S., et al.. (1977). Maximal consistent interpretations of errorful data in hierarchically modelled domains. International Joint Conference on Artificial Intelligence. 165–171.12 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.