Alina Köchling

630 citations
10 papers · 328 indexed · 1 hit paper · h-index 5
Topics
Ethics and Social Impacts of AI (4 papers)Employer Branding and e-HRM (4 papers)Online Learning and Analytics (2 papers)
Partner nations
GermanyNetherlands

In The Last Decade

Alina Köchling

8 papers receiving 311 citations

Hit Papers

Discriminated by an algorithm: a systematic review of dis...2020202620222024202050100150

Peers

Alina Köchling
Comparison fields: 5 of 57
  • Safety Research 124
  • Organizational Behavior and Human Resource Management 123
  • Sociology and Political Science 87
  • Health Informatics 60
  • Artificial Intelligence 56
Replace David T. Newman with:
David T. Newman United States
David L. Tomczak United States
Yalçın Açıkgöz United States
C. Joe Arun United States
Simon Daniel Schafheitle Switzerland
Mohammed Salah Oman
Thorsten Busch Switzerland
Yunyang Hu China
Ainslie E. Schultz United States
Iffat Sabir Chaudhry United Arab Emirates
Alina Köchling relative to David T. Newman United States David T. Newman's profile →
Citations per field
00.5×1.5×2.1×
David T. Newman · 1×
Citations per year

Countries citing papers authored by Alina Köchling

Since Specialization
Citations

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

Fields of papers citing papers by Alina Köchling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alina Köchling

This figure shows the co-authorship network connecting the top 25 collaborators of Alina Köchling. A scholar is included among the top collaborators of Alina Köchling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alina Köchling. Alina Köchling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 8
2 0
3 62
4 20
5 1
6 1
7
Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR developmentbreakdown →
199
8 1
9 34
10
Fluch oder Segen?. Big Data und Learning Analytics im Lernkontext
2

About Alina Köchling

Alina Köchling is a scholar working on Safety Research, Organizational Behavior and Human Resource Management and Computer Science Applications, having authored 10 papers that have together received 328 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (4 papers), Employer Branding and e-HRM (4 papers) and Online Learning and Analytics (2 papers). The work is most often cited by research in Health Informatics (60 citations), Safety Research (124 citations) and Organizational Behavior and Human Resource Management (123 citations). Alina Köchling has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Marius Wehner and Sascha Alexander Ruhle. Their work appears in journals such as Review of Managerial Science, Business & Information Systems Engineering and International Journal of Selection and Assessment.

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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