Javier Lerch

2 papers and 357 indexed citations i.

About

Javier Lerch is a scholar working on Artificial Intelligence, Social Psychology and Management Science and Operations Research. According to data from OpenAlex, Javier Lerch has authored 2 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Social Psychology and 1 paper in Management Science and Operations Research. Recurrent topics in Javier Lerch’s work include Cognitive Science and Mapping (1 paper), Software Engineering Techniques and Practices (1 paper) and Knowledge Management and Sharing (1 paper). Javier Lerch is often cited by papers focused on Cognitive Science and Mapping (1 paper), Software Engineering Techniques and Practices (1 paper) and Knowledge Management and Sharing (1 paper). Javier Lerch collaborates with scholars based in United States. Javier Lerch's co-authors include Cleotilde González, Christian Lebière, James D. Herbsleb, J. Alberto Espinosa, Robert E. Kraut, Audris Mockus and Sandra A. Slaughter and has published in prestigious journals such as Cognitive Science and International Conference on Information Systems.

In The Last Decade

Co-authorship network of co-authors of Javier Lerch i

Fields of papers citing papers by Javier Lerch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Javier Lerch

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025