Mark Heimann

About

Mark Heimann is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Mark Heimann has authored 8 papers receiving a total of 31 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 2 papers in Molecular Biology. Recurrent topics in Mark Heimann’s work include Advanced Graph Neural Networks (4 papers), Complex Network Analysis Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Mark Heimann is often cited by papers focused on Advanced Graph Neural Networks (4 papers), Complex Network Analysis Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Mark Heimann collaborates with scholars based in United States and Germany. Mark Heimann's co-authors include Danai Koutra, Tara Safavi, Junchen Jin, Di Jin, Lingxiao Zhao, Attila Gyulassy, Jiong Zhu, Leman Akoglu, Yujun Yan and Valerio Pascucci and has published in prestigious journals such as Journal of Chemical Theory and Computation, IEEE Transactions on Visualization and Computer Graphics and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Co-authorship network of co-authors of Mark Heimann i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Mark Heimann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mark Heimann

Since Specialization

Citations

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

Breakdown of academic impact, for papers by A. Balestra Breakdown of academic impact, for papers by Humberto Maturana Romesín Breakdown of academic impact, for papers by Jan Duerig Breakdown of academic impact, for papers by Susan Gole Breakdown of academic impact, for papers by R. Seto Breakdown of academic impact, for papers by Ernst Troeltsch Breakdown of academic impact, for papers by S. Bugiel Breakdown of academic impact, for papers by R. Cizeron