Benjamin Erb

947 citations
36 papers · 648 · h-index 11

Impact in

Papers in

Benjamin Erb

33 papers receiving 623 citations

Peers

Benjamin Erb
Comparison fields: 5 of 75
  • Applied Psychology 190
  • Health Informatics 18
  • Human-Computer Interaction 43
  • Information Systems 146
  • Experimental and Cognitive Psychology 71
Replace Zhiyuan Jerry Lin with:
Zhiyuan Jerry Lin United States
Sarah Theres Völkel Germany
João Sedoc United States
Di Li China
Yufan Guo United States
Jofish Kaye United States
Bruce Ferwerda Sweden
Radhika Garg United States
Sanchari Das United States
Zhenhui Peng Hong Kong
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Citations per field
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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-authors

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

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016226
2 2019150
3 201942
4 201626
5 201419
6 202119
7 202417
8 201914
9 201613
10 201712
11 201811
12 20239
13 20189
14 20168
15 20157
16 20187
17 20177
18 20066
19 20236
20 20216

About Benjamin Erb

Benjamin Erb is a scholar working on Applied Psychology, Computer Networks and Communications, Information Systems, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 36 papers that have together received 648 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (9 papers), Distributed systems and fault tolerance (7 papers), Digital Mental Health Interventions (6 papers), Software System Performance and Reliability (5 papers), Privacy, Security, and Data Protection (5 papers), Privacy-Preserving Technologies in Data (5 papers), Software-Defined Networks and 5G (4 papers) and Mental Health Research Topics (3 papers). The work is most often cited by research in Applied Psychology (190 citations), Health Informatics (18 citations), Human-Computer Interaction (43 citations), Information Systems (146 citations) and Experimental and Cognitive Psychology (71 citations). Benjamin Erb has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Frank Kargl, Eileen Bendig, Harald Baumeister, Christoph Bösch, Stefan Pfattheicher, Henning Kopp, Jörg Domaschka, Rens W. van der Heijden, Christopher B. Hauser and Olga Pollatos. Their work appears in journals such as BMJ Open, Internet Interventions, JMIR Mental Health, International Journal of Psychophysiology 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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