Johnson Apacible

5 papers and 336 indexed citations i.

About

Johnson Apacible is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Johnson Apacible has authored 5 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Information Systems and 2 papers in Artificial Intelligence. Recurrent topics in Johnson Apacible’s work include Personal Information Management and User Behavior (2 papers), Data Visualization and Analytics (2 papers) and Advanced Neural Network Applications (1 paper). Johnson Apacible is often cited by papers focused on Personal Information Management and User Behavior (2 papers), Data Visualization and Analytics (2 papers) and Advanced Neural Network Applications (1 paper). Johnson Apacible collaborates with scholars based in United States. Johnson Apacible's co-authors include Karthik Kalyanaraman, Trishul Chilimbi, Eric Horvitz, Michael Gamon, Tae Yano, Patrick Pantel and Xinying Song and has published in prestigious journals such as Journal of Convergence Information Technology, Operating Systems Design and Implementation and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Johnson Apacible i

Fields of papers citing papers by Johnson Apacible

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johnson Apacible. 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 Johnson Apacible. The network helps show where Johnson Apacible may publish in the future.

Countries citing papers authored by Johnson Apacible

Since Specialization
Citations

This map shows the geographic impact of Johnson Apacible'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 Johnson Apacible with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johnson Apacible 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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2025