Markus Junker

977 citations
48 papers · 701 · h-index 15

Impact in

Papers in

    • Information Retrieval and Search Behavior 10
    • Text and Document Classification Technologies 5
    • Semantic Web and Ontologies 3
    • Intelligent Tutoring Systems and Adaptive Learning 1

Markus Junker

45 papers receiving 634 citations

Peers

Markus Junker
Comparison fields: 5 of 35
  • Health Informatics 15
  • Information Systems 110
  • Computer Vision and Pattern Recognition 69
  • Electrical and Electronic Engineering 170
  • Artificial Intelligence 61
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Ajay Kumar Jaiswal India
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Tae-Chan Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Markus Junker

Since Specialization
Citations

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

Fields of papers citing papers by Markus Junker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Markus Junker, 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 Markus Junker Line = papers co-authored together Markus Junker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999138
2 200662
3 200445
4 200642
5 200736
6 200635
7 200031
8 200731
9 200622
10 199821
11 200821
12 200619
13 202419
14 200216
15 200416
16 200213
17
Query Reformulation in Collaborative Information Retrieval
200212
18
Towards Collaborative Information Retrieval: Three Approaches.
200312
19 200211
20 200110

About Markus Junker

Markus Junker is a scholar working on Information Systems, Artificial Intelligence, Health Informatics, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 701 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (10 papers), Advanced Photonic Communication Systems (8 papers), Text and Document Classification Technologies (5 papers), Semantic Web and Ontologies (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Advanced Fiber Optic Sensors (1 paper), Handwritten Text Recognition Techniques (1 paper) and Intelligent Tutoring Systems and Adaptive Learning (1 paper). The work is most often cited by research in Health Informatics (15 citations), Information Systems (110 citations), Computer Vision and Pattern Recognition (69 citations), Electrical and Electronic Engineering (170 citations) and Artificial Intelligence (61 citations). Markus Junker has collaborated with scholars based in Germany, Ireland and Japan. Frequent co-authors include Thomas Schneider, Andreas Dengel, Rainer Hoch, Ronny Henker, Michael Sintek, Koichi Kise, Keinosuke Matsumoto, Max James Ammann, Anette Weisbecker and Andreas Abecker. Their work appears in journals such as Optics Express, Electronics Letters, European Journal of Cancer, Journal of the Optical Society of America B and IEEE Transactions on Microwave Theory and Techniques.

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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