Darius Pfitzner

578 citations
13 papers · 411 · h-index 6

Impact in

Papers in

    • Advanced Text Analysis Techniques 3
    • Speech and dialogue systems 2
    • Advanced Clustering Algorithms Research 1
    • Imbalanced Data Classification Techniques 1
    • Information Retrieval and Search Behavior 2

Darius Pfitzner

13 papers receiving 388 citations

Peers

Darius Pfitzner
Comparison fields: 5 of 101
  • Health Informatics 11
  • Safety Research 67
  • Artificial Intelligence 150
  • Information Systems and Management 27
  • Computer Science Applications 21
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Citations per year

Countries citing papers authored by Darius Pfitzner

Since Specialization
Citations

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

Fields of papers citing papers by Darius Pfitzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Darius Pfitzner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Darius Pfitzner Line = papers co-authored together Darius Pfitzner links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2008172
2 2021126
3
A unified taxonomic framework for information visualization
200344
4 201124
5 201618
6 20088
7
The Magic Science of Visualization
20034
8 20084
9 20184
10 20083
11
Smart Collections: Can Artificial Intelligence Tools and Techniques Assist with Discovering, Evaluating and Tagging Digital Learning Resources?.
20102
12
Determining pattern element contribution in medical datasets
20071
13
Towards Cognitive Optimisation of a Search Engine Interface
20061

About Darius Pfitzner

Darius Pfitzner is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, General Health Professions and Sociology and Political Science, having authored 13 papers that have together received 411 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (3 papers), Data Visualization and Analytics (2 papers), Information Retrieval and Search Behavior (2 papers), Speech and dialogue systems (2 papers), Hermeneutics and Narrative Identity (1 paper), Advanced Clustering Algorithms Research (1 paper), Academic integrity and plagiarism (1 paper) and Imbalanced Data Classification Techniques (1 paper). The work is most often cited by research in Health Informatics (11 citations), Safety Research (67 citations), Artificial Intelligence (150 citations), Information Systems and Management (27 citations) and Computer Science Applications (21 citations). Darius Pfitzner has collaborated with scholars based in Australia, United States and France. Frequent co-authors include David Powers, Richard Leibbrandt, Alison Reedy, Leonie Ellis, Arman Abrahamyan, Trent Lewis, Guillaume Gibert, Catherine Stevens, Yvonne Leung and Dongqiang Yang. Their work appears in journals such as International Journal for Educational Integrity, Journal of Higher Education Policy and Management, Knowledge and Information Systems, Australasian Accounting Business and Finance Journal and International Journal of Internet Protocol Technology.

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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