Daniel Puschmann

7 papers and 388 indexed citations i.

About

Daniel Puschmann is a scholar working on Signal Processing, Artificial Intelligence and Oncology. According to data from OpenAlex, Daniel Puschmann has authored 7 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 5 papers in Artificial Intelligence and 1 paper in Oncology. Recurrent topics in Daniel Puschmann’s work include Time Series Analysis and Forecasting (6 papers), Data Management and Algorithms (3 papers) and Adaptation to Concept Drift in Data Streams (3 papers). Daniel Puschmann is often cited by papers focused on Time Series Analysis and Forecasting (6 papers), Data Management and Algorithms (3 papers) and Adaptation to Concept Drift in Data Streams (3 papers). Daniel Puschmann collaborates with scholars based in United Kingdom, Ireland and Austria. Daniel Puschmann's co-authors include Payam Barnaghi, Frieder Ganz, Rahim Tafazolli, María Bermúdez-Edo, François Carrez, Marten Fischer, Ralf Tönjes, Josiane Xavier Parreira, Nazli Farajidavar and Alessandra Mileo and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Co-authorship network of co-authors of Daniel Puschmann i

Fields of papers citing papers by Daniel Puschmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Puschmann

Since Specialization
Citations

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