Center for Information Technology

2.0k papers and 73.4k indexed citations i.

About

In recent decades, authors affiliated with Center for Information Technology have published 2.0k papers, which have received a total of 73.4k indexed citations. Scholars at this organization have produced 468 papers in Molecular Biology, 307 papers in Artificial Intelligence and 263 papers in Electrical and Electronic Engineering on the topics of Protein Structure and Dynamics (91 papers), stochastic dynamics and bifurcation (79 papers) and Topic Modeling (72 papers). Their work is cited by papers focused on Molecular Biology (23.4k citations), Radiology, Nuclear Medicine and Imaging (8.2k citations) and Artificial Intelligence (6.8k citations). Authors at Center for Information Technology collaborate with scholars in United States, China and Germany and have published in prestigious journals including Nature, Science and Cell. Some of Center for Information Technology's most productive authors include Charles D. Schwieters, G. Marius Clore, Alexander M. Berezhkovskii, Sinisa Pajevic, James D. Malley, John Kuszewski, Brandon Stewart, Justin Grimmer, Carlo Pierpaoli and Carolin Strobl.

In The Last Decade

Fields of papers published by authors at Center for Information Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Center for Information Technology at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Center for Information Technology at the time of their publication.

Countries citing scholars working at Center for Information Technology

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Center for Information Technology. 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 produced at Center for Information Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Center for Information Technology 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 institutions with similar magnitude of impact

Rankless by CCL
2025