Benjamin Erb

884 citations
31 papers · 524 indexed · h-index 10

Benjamin Erb

29 papers receiving 502 citations

Peers

Benjamin Erb
Comparison fields: 5 of 76
  • Applied Psychology 158
  • Health Informatics 18
  • Experimental and Cognitive Psychology 83
  • Human-Computer Interaction 34
  • Information Systems 123
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Huahai Yang United States
Sarah Theres Völkel Germany
Stephan Weibelzahl Ireland
Juan Martı́nez-Miranda Mexico
Davi Viana Brazil
Zhiyuan Lin United States
Erin Walker United States
Di Li China
Shoaib Jameel United Kingdom
H. Chad Lane United States
Benjamin Erb relative to Huahai Yang United States Huahai Yang's profile →
Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Benjamin Erb

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Erb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202410
3 20231
4 20232
5 20237
6 20213
7 202120
8 20214
9 20212
10 201934
11 2019129
12 201811
13 20186
14 20180
15 20161
16 20167
17 201610
18 20154
19 201418
20 20066

About Benjamin Erb

Benjamin Erb is a scholar working on Applied Psychology, Computer Networks and Communications, Information Systems, Experimental and Cognitive Psychology and Hardware and Architecture, having authored 31 papers that have together received 524 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (9 papers), Distributed systems and fault tolerance (8 papers), Digital Mental Health Interventions (6 papers), Software System Performance and Reliability (5 papers), Mental Health Research Topics (5 papers), Graph Theory and Algorithms (3 papers), Software-Defined Networks and 5G (3 papers) and Mental Health via Writing (3 papers). The work is most often cited by research in Applied Psychology (158 citations), Health Informatics (18 citations), Experimental and Cognitive Psychology (83 citations), Human-Computer Interaction (34 citations) and Information Systems (123 citations). Benjamin Erb has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Frank Kargl, Eileen Bendig, Harald Baumeister, Christoph Bösch, Stefan Pfattheicher, Henning Kopp, Jörg Domaschka, Christopher B. Hauser, Rens W. van der Heijden and Natalie Bauereiß. Their work appears in journals such as JMIR Mental Health, BMJ Open, International Journal of Psychophysiology, Internet Interventions and Frontiers in Big Data.

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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