Christopher Erdmann

27 papers receiving 416 citations

Peers

Christopher Erdmann
Comparison fields: 5 of 92
  • Health, Toxicology and Mutagenesis 221
  • Information Systems and Management 89
  • Information Systems 98
  • Management Science and Operations Research 48
  • Reproductive Medicine 20
Replace Angelica Neisa with:
Angelica Neisa Canada
Fleur D.L. Kelpin Netherlands
André Rauber Du Bois Brazil
Guo Chen China
Neha Yadav India
Jia Chen China
Ting Zeng China
Mizanur Rahman Bangladesh
Han Dong China
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Erdmann

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Erdmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010266
2 201447
3
Shifting to Data Savvy: The Future of Data Science In Libraries
201824
4 201614
5 201912
6 202211
7 202310
8 20127
9 20246
10 20146
11 20145
12 20255
13 20204
14
Next Generation Bibliometricsand and the Evolution of the ESO Telescope Bibliography
20104
15 20223
16 20222
17 20252
18 20152
19 20142
20 20221

About Christopher Erdmann

Christopher Erdmann is a scholar working on Information Systems and Management, Information Systems, Statistics, Probability and Uncertainty, Conservation and Instrumentation, having authored 33 papers that have together received 442 indexed citations. Recurring topics across this work include Research Data Management Practices (15 papers), Scientific Computing and Data Management (7 papers), Astronomical Observations and Instrumentation (4 papers), scientometrics and bibliometrics research (3 papers), Data Quality and Management (3 papers), Semantic Web and Ontologies (2 papers), Historical Astronomy and Related Studies (2 papers) and Astronomy and Astrophysical Research (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (221 citations), Information Systems and Management (89 citations), Information Systems (98 citations), Management Science and Operations Research (48 citations) and Reproductive Medicine (20 citations). Christopher Erdmann has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Laura Liao, Michael E. Rybak, Frank M. Biro, Antonia M. Calafat, Mary Snow Wolff, Robert A. Hiatt, Lawrence H. Kushi, Susan L. Teitelbaum, Susan M. Pinney and Gayle C. Windham. Their work appears in journals such as PLoS Computational Biology, Data Science Journal, PLoS ONE, Proceedings of the American Society for Information Science and Technology and Environmental Health Perspectives.

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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