Tony Ross‐Hellauer

3.4k citations
59 papers · 1.9k · 3 hit papers · h-index 19

Impact in

Papers in

Tony Ross‐Hellauer

55 papers receiving 1.7k citations

Tony Ross‐Hellauer's Hit Papers

Reproducibility in machine‐learning‐based research: Overview, barriers, and drivers 2025 · 33 citations
330+3+6Years since publication50100150200250

Peers

Tony Ross‐Hellauer
Comparison fields: 5 of 115
  • Information Systems and Management 896
  • History and Philosophy of Science 865
  • Statistics, Probability and Uncertainty 350
  • Information Systems 326
  • Safety Research 105
Replace Lisa Matthias with:
Lisa Matthias Germany
Jason R Priem United States
Lauren Collister United States
Anthony Watkinson Spain
Eti Herman Spain
Blanca Rodríguez Bravo Spain
Carole J. Lee United States
Chérifa Boukacem‐Zeghmouri France
Marzena Świgoń Poland
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Countries citing papers authored by Tony Ross‐Hellauer

Since Specialization
Citations

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

Fields of papers citing papers by Tony Ross‐Hellauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony Ross‐Hellauer. 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 Tony Ross‐Hellauer. The network helps show where Tony Ross‐Hellauer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
What is open peer review? A systematic review
Hit paper breakdown →
2017263
2
The limitations to our understanding of peer review
Hit paper breakdown →
2020206
3 2017186
4 2017149
5 2017135
6 2020112
7 201986
8 202280
9 201961
10 202053
11 202253
12 201850
13 201848
14 202240
15 202035
16 202334
17
Reproducibility in machine‐learning‐based research: Overview, barriers, and drivers
Hit paper breakdown →
202533
18 202331
19 201723
20 202417

About Tony Ross‐Hellauer

Tony Ross‐Hellauer is a scholar working on Information Systems and Management, History and Philosophy of Science, Statistics, Probability and Uncertainty, Information Systems and Safety Research, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Academic Publishing and Open Access (48 papers), Publishing and Scholarly Communication (26 papers), Research Data Management Practices (20 papers), scientometrics and bibliometrics research (9 papers), Scientific Computing and Data Management (7 papers), Meta-analysis and systematic reviews (2 papers), Research, Science, and Academia (2 papers) and Ethics and Social Impacts of AI (1 paper). The work is most often cited by research in Information Systems and Management (896 citations), History and Philosophy of Science (865 citations), Statistics, Probability and Uncertainty (350 citations), Information Systems (326 citations) and Safety Research (105 citations). Tony Ross‐Hellauer has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include Jonathan Tennant, Birgit Schmidt, Thomas Klebel, Nancy Pontika, Angela Fessl, Bianca M. R. Kramer, Elizabeth C. Moylan, Serge P. J. M. Horbach, Peter Kraker and Daniela Luzi. Their work appears in journals such as F1000Research, Royal Society Open Science, Nature, Quantitative Science Studies and PLoS ONE.

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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