Isaac Lage

16 total papers · 470 total citations
5 papers, 80 citations indexed

About

Isaac Lage is a scholar working on Artificial Intelligence, Pharmacology and Social Psychology. According to data from OpenAlex, Isaac Lage has authored 5 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Pharmacology and 1 paper in Social Psychology. Recurrent topics in Isaac Lage's work include Treatment of Major Depression (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Isaac Lage is often cited by papers focused on Treatment of Major Depression (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Isaac Lage collaborates with scholars based in United States and Israel. Isaac Lage's co-authors include Finale Doshi‐Velez, Samuel J. Gershman, Jeffrey He, Emily Chen, Been Kim, Thomas H. McCoy, Roy H. Perlis, Ofra Amir and Melanie F. Pradier and has published in prestigious journals such as Journal of Affective Disorders, PubMed and Proceedings of the AAAI Conference on Human Computation and Crowdsourcing.

In The Last Decade

Isaac Lage

5 papers receiving 77 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Isaac Lage 60 18 15 11 8 5 80
Isabel O. Gallegos 76 1.3× 20 1.1× 15 1.0× 4 0.4× 3 0.4× 6 140
Pablo Pedemonte 81 1.4× 20 1.1× 22 1.5× 3 0.3× 8 1.0× 7 105
Sami Mourad 80 1.3× 18 1.0× 19 1.3× 3 0.3× 7 0.9× 5 96
Timo Freiesleben 48 0.8× 11 0.6× 12 0.8× 2 0.2× 5 0.6× 4 87
Liyin Zhang 63 1.1× 30 1.7× 5 0.3× 3 0.3× 7 0.9× 7 214
Ayesha Bajwa 48 0.8× 7 0.4× 9 0.6× 5 0.5× 6 0.8× 4 65
Ruan Carvalho 58 1.0× 19 1.1× 5 0.3× 8 0.7× 3 0.4× 4 236
Matthew Aitchison 24 0.4× 9 0.5× 14 0.9× 10 0.9× 4 0.5× 7 56
Snehal Prabhudesai 26 0.4× 7 0.4× 15 1.0× 7 0.6× 3 0.4× 5 46
Inda Indrawati 88 1.5× 70 3.9× 12 0.8× 7 0.6× 4 0.5× 9 225

Countries citing papers authored by Isaac Lage

Since Specialization
Citations

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

Fields of papers citing papers by Isaac Lage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isaac Lage

This figure shows the co-authorship network connecting the top 25 collaborators of Isaac Lage. A scholar is included among the top collaborators of Isaac Lage 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 Isaac Lage. Isaac Lage is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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