Countries citing papers authored by John Zeleznikow
Since
Specialization
Citations
This map shows the geographic impact of John Zeleznikow'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 John Zeleznikow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Zeleznikow more than expected).
This network shows the impact of papers produced by John Zeleznikow. 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 John Zeleznikow. The network helps show where John Zeleznikow may publish in the future.
Co-authorship network of co-authors of John Zeleznikow
This figure shows the co-authorship network connecting the top 25 collaborators of John Zeleznikow.
A scholar is included among the top collaborators of John Zeleznikow 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 John Zeleznikow. John Zeleznikow is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sourdin, Tania & John Zeleznikow. (2020). Courts, Mediation and COVID-19. Victoria University Research Repository (Victoria University). 48(2). 138–158.4 indexed citations
4.
Zeleznikow, John, et al.. (2019). Universal Standards for the Concept of Fairness in Online Dispute Resolution in B2C E-Disputes. Victoria University Research Repository (Victoria University).2 indexed citations
5.
Sourdin, Tania, et al.. (2018). Using technology to discover more about the justice system. Deakin Research Online (Deakin University). 44(1). 1–24.
6.
Augar, Naomi, et al.. (2014). How does internet and social media use impact relationships? - exploring university student perceptions. Victoria University Research Repository (Victoria University).1 indexed citations
7.
Augar, Naomi & John Zeleznikow. (2013). I just saw this on Facebook, I need it now': exploring small business use of Facebook. Journal of the Association for Information Systems. 1–11.3 indexed citations
Pollard, Geoff, et al.. (2009). Applying tennis match statistics to increase serving performance during a match in progress. Swinburne Research Bank (Swinburne University of Technology).4 indexed citations
10.
Zeleznikow, John & Emilia Bellucci. (2006). Family_Mediator --Adding Notions of Fairness to Those of Interests. Victoria University Research Repository (Victoria University). 121–130.6 indexed citations
11.
Sourdin, Tania, et al.. (2005). Supporting discretionary decision-making with information technology: a case study in the criminal sentencing jurisdiction. Victoria University Research Repository (Victoria University).8 indexed citations
Stranieri, Andrew & John Zeleznikow. (1998). Split up: the use of an argument based knowledge representation to meet expectations of different user for discretionary decision making. National Conference on Artificial Intelligence. 1146–1151.6 indexed citations
14.
Bellucci, Emilia & John Zeleznikow. (1997). Family_Negotiator: An Intelligent Tool for Supporting Legal Negotiation in Australian Family Law (Abstract).. 251.1 indexed citations
15.
Zeleznikow, John & Andrew Stranieri. (1997). Modelling discretion in the Split Up system. Journal of the Association for Information Systems. 31.4 indexed citations
16.
Bellucci, Emilia, Grigoris Antoniou, & John Zeleznikow. (1997). Intelligent Computer Tools for Supporting Human Negotiation: System and Research. Journal of the Association for Information Systems. 18.1 indexed citations
17.
Hunter, Dan, et al.. (1993). There is less to this argument than meets the eye.4 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.