Justin Heinermann

About

Justin Heinermann is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Justin Heinermann has authored 4 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Electrical and Electronic Engineering, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Justin Heinermann’s work include Energy Load and Power Forecasting (3 papers), Computational Physics and Python Applications (2 papers) and Wind and Air Flow Studies (1 paper). Justin Heinermann is often cited by papers focused on Energy Load and Power Forecasting (3 papers), Computational Physics and Python Applications (2 papers) and Wind and Air Flow Studies (1 paper). Justin Heinermann collaborates with scholars based in Germany and Denmark. Justin Heinermann's co-authors include Oliver Krämer, Fabian Gieseke, Cosmin E. Oancea, Christian Igel and Lueder von Bremen and has published in prestigious journals such as Renewable Energy, Research Portal Denmark and National Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Justin Heinermann i

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Fields of papers citing papers by Justin Heinermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Justin Heinermann

Since Specialization

Citations

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