This map shows the geographic impact of research published in ACM Inroads. 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 papers published in ACM Inroads with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ACM Inroads more than expected).
This network shows the impact of papers published in ACM Inroads. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in ACM Inroads.
About ACM Inroads
The 627 papers published in ACM Inroads in the last decades have received a total of 7.5k indexed citations . Papers published in ACM Inroads usually cover Computer Science Applications (290 papers), Information Systems (190 papers), Media Technology (69 papers), Software (23 papers) and Developmental and Educational Psychology (59 papers) specifically the topics of Teaching and Learning Programming (229 papers), Information Systems Education and Curriculum Development (92 papers), Online Learning and Analytics (82 papers), Experimental Learning in Engineering (63 papers), Gender and Technology in Education (42 papers), Innovative Teaching and Learning Methods (35 papers), Software Engineering Research (34 papers) and Software Engineering Techniques and Practices (30 papers). The most active scholars publishing in ACM Inroads are Valerie Barr, Chris G. Stephenson, Raymond Lister, Mark Guzdial, Michal Armoni, Irene A. Lee, Fred G. Martin, Jane Margolis, Joanna Goode and Tony Clear.
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.