Andreas Schräder

637 citations
54 papers · 394 · h-index 12

Impact in

Papers in

Andreas Schräder

47 papers receiving 366 citations

Peers

Andreas Schräder
Comparison fields: 5 of 97
  • Human-Computer Interaction 64
  • Computer Science Applications 36
  • Computer Vision and Pattern Recognition 121
  • Dermatology 46
  • Computer Networks and Communications 77
Replace Shivam Agarwal with:
Shivam Agarwal India
Kristina Yordanova Germany
Esko-Juhani Malm Finland
Xiaozhen Ye China
Eman Aldhahri Saudi Arabia
Martin Hanneghan United Kingdom
Sebastian Bader Germany
Davide Mulfari Italy
Kazunori Takashio Japan
Rim Helaoui Italy
Andreas Schräder relative to Shivam Agarwal India Shivam Agarwal's profile →
Citations per field
00.5×7.7×
Shivam Agarwal · 1×
Citations per year

Countries citing papers authored by Andreas Schräder

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Schräder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Schräder, 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 Andreas Schräder Line = papers co-authored together Andreas Schräder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201235
2 201330
3 201027
4 200324
5 201920
6 201819
7 202219
8 200713
9 200913
10 200212
11 201011
12 201211
13 201110
14 200810
15 201310
16 20249
17 20179
18 20058
19 20148
20 20167

About Andreas Schräder

Andreas Schräder is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Networks and Communications, Surgery and Dermatology, having authored 54 papers that have together received 394 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (21 papers), Interactive and Immersive Displays (11 papers), Hand Gesture Recognition Systems (5 papers), IoT and Edge/Fog Computing (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers), Personal Information Management and User Behavior (5 papers), Tactile and Sensory Interactions (4 papers) and Skin Protection and Aging (4 papers). The work is most often cited by research in Human-Computer Interaction (64 citations), Computer Science Applications (36 citations), Computer Vision and Pattern Recognition (121 citations), Dermatology (46 citations) and Computer Networks and Communications (77 citations). Andreas Schräder has collaborated with scholars based in Germany, Singapore and United States. Frequent co-authors include M. Rohr, Nicole Jochems, Ruth Deck, Anil Jain, Björn Hauptmann, Bernd Freisleben, Anil Jain, Bernhard Jung, Yiyang Dong and Thomas Kohlmann. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Skin Pharmacology and Physiology, International Journal of Cosmetic Science, BMC Neurology and Skin Research and 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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