Berit Hackenberg

30 papers receiving 290 citations

Peers

Berit Hackenberg
Comparison fields: 5 of 55
  • Sensory Systems 60
  • General Dentistry 4
  • Otorhinolaryngology 17
  • Complementary and Manual Therapy 6
  • Health Information Management 22
Replace Milena Di Luca with:
Milena Di Luca Italy
Jennifer C. Alyono United States
Farhad Farahani Iran
Calogero Grillo Italy
Ilaaf Darrat United States
Raktima Dasgupta United States
Ahmad Qureshy Japan
Young Jae Byun United States
Shyan C. Sun United States
Mehmet Akif KILIÇ Türkiye
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Citations per year

Countries citing papers authored by Berit Hackenberg

Since Specialization
Citations

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

Fields of papers citing papers by Berit Hackenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202351
2 201443
3 201535
4 201933
5 201924
6 201420
7 202317
8 202311
9 202010
10 202110
11 20237
12 20236
13 20235
14 20204
15 20224
16 20224
17 20224
18 20242
19 20242
20 20252

About Berit Hackenberg

Berit Hackenberg is a scholar working on Sensory Systems, Cognitive Neuroscience, Health Information Management, General Dentistry and Physiology, having authored 32 papers that have together received 306 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (6 papers), Obstructive Sleep Apnea Research (5 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Electronic Health Records Systems (3 papers), Global Health and Surgery (2 papers), Language Development and Disorders (2 papers), Dental Research and COVID-19 (2 papers) and Noise Effects and Management (1 paper). The work is most often cited by research in Sensory Systems (60 citations), General Dentistry (4 citations), Otorhinolaryngology (17 citations), Complementary and Manual Therapy (6 citations) and Health Information Management (22 citations). Berit Hackenberg has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Edward J. Caterson, Cameron Lee, Christoph Matthias, Katharina Bahr‐Hamm, Philipp Sebastian Wild, Thomas Münzel, Manfred Elmar Beutel, Norbert Pfeiffer, Karl Johannes Lackner and Irene M. Schmidtmann. Their work appears in journals such as Journal of Craniofacial Surgery, The Laryngoscope, Journal of Personalized Medicine, Journal of Exposure Science & Environmental Epidemiology and Strahlentherapie und Onkologie.

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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