Ford Lumban Gaol

124 papers and 445 indexed citations i.

About

Ford Lumban Gaol is a scholar working on Information Systems, Management Information Systems and Artificial Intelligence. According to data from OpenAlex, Ford Lumban Gaol has authored 124 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Information Systems, 22 papers in Management Information Systems and 15 papers in Artificial Intelligence. Recurrent topics in Ford Lumban Gaol’s work include Technology Adoption and User Behaviour (9 papers), ERP Systems Implementation and Impact (8 papers) and Digital Marketing and Social Media (8 papers). Ford Lumban Gaol is often cited by papers focused on Technology Adoption and User Behaviour (9 papers), ERP Systems Implementation and Impact (8 papers) and Digital Marketing and Social Media (8 papers). Ford Lumban Gaol collaborates with scholars based in Indonesia, Japan and Taiwan. Ford Lumban Gaol's co-authors include Tokuro Matsuo, Harjanto Prabowo, Edi Abdurachman, Benfano Soewito, Meyliana Meyliana, Jamil Akhtar, Keshav N. Shrivastava, Meiliana Meiliana, Daniel Daniel and Harco Leslie Hendric Spits Warnars and has published in prestigious journals such as IEEE Access, Applied Sciences and Heliyon.

In The Last Decade

Co-authorship network of co-authors of Ford Lumban Gaol i

Fields of papers citing papers by Ford Lumban Gaol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ford Lumban Gaol. 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 Ford Lumban Gaol. The network helps show where Ford Lumban Gaol may publish in the future.

Countries citing papers authored by Ford Lumban Gaol

Since Specialization
Citations

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

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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