Citations per year, relative to Guo Peng Guo Peng (= 1×)
peers
Muhammad Noman Malik
Countries citing papers authored by Guo Peng
Since
Specialization
Citations
This map shows the geographic impact of Guo Peng'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 Guo Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo Peng more than expected).
This network shows the impact of papers produced by Guo Peng. 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 Guo Peng. The network helps show where Guo Peng may publish in the future.
Co-authorship network of co-authors of Guo Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Guo Peng.
A scholar is included among the top collaborators of Guo Peng 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 Guo Peng. Guo Peng is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Peng, Guo, et al.. (2012). Exploring CRM adoption in Chinese SOEs: insights from a case study. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).2 indexed citations
6.
Peng, Guo, J.M.B. Nunes, & Fenio Annansingh. (2011). Investigating information systems with mixed-methods research. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).8 indexed citations
Nunes, J.M.B., et al.. (2011). Information systems evaluation methodologies. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).1 indexed citations
9.
Peng, Guo & J.M.B. Nunes. (2010). Why ERP Post-Implementation Fails? Lessons Learned from A Failure Case in China. Journal of the Association for Information Systems. 58.7 indexed citations
Nunes, Miguel Baptista, et al.. (2009). RISKS ASSOCIATED WITH ERP POST- ADOPTION: THE CASE OF A LARGE MANUFACTURING FIRM IN CHINA. Journal of the Association for Information Systems.2 indexed citations
14.
Nunes, Miguel Baptista, et al.. (2009). Identifying and improving deficient business processes to prepare SMEs for ERP implementation. Journal of the Association for Information Systems.6 indexed citations
Peng, Guo & J.M.B. Nunes. (2008). Identification and assessment of risks to successful exploitation of ERP systems in China. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).5 indexed citations
17.
Peng, Guo & J.M.B. Nunes. (2008). A discussion of barriers to successful exploitation of ERP systems in China. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).1 indexed citations
18.
Peng, Guo & Miguel Baptista Nunes. (2008). Issues and Difficulties in Doing Participative Research in China: Lessons Learned from a Survey in Information Systems Research. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).7 indexed citations
19.
Peng, Guo & J.M.B. Nunes. (2007). A risk ontology for ERP post-implementation. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).7 indexed citations
20.
Peng, Guo & Miguel Baptista Nunes. (2007). Using PEST Analysis as a Tool for Refining and Focusing Contexts for Information Systems Research. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).30 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.