Kenning Arlitsch

604 citations
38 papers · 412 indexed · h-index 12

Impact in

Papers in

Kenning Arlitsch

35 papers receiving 359 citations

Peers

Kenning Arlitsch
Comparison fields: 5 of 58
  • Library and Information Sciences 60
  • Statistics, Probability and Uncertainty 89
  • Information Systems 248
  • Information Systems and Management 72
  • Health Informatics 12
Replace Dorothea Salo with:
Dorothea Salo United States
Nancy Fried Foster United States
Sharon Q. Yang United States
Denise Troll Covey United States
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Citations per field
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Citations per year

Countries citing papers authored by Kenning Arlitsch

Since Specialization
Citations

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

Fields of papers citing papers by Kenning Arlitsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 5 scholars most cited alongside Kenning Arlitsch, 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 Kenning Arlitsch Line = papers co-authored together Kenning Arlitsch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20225
2 20207
3 201825
4 20182
5 20174
6 201712
7 20160
8 201615
9 20160
10
Getting Found: Search Engine Optimization for Digital Repositories
20150
11
Measuring Up: Assessing Accuracy of Reported Use and Impact of Digital Repositories
20143
12 201415
13
Improving the visibility and use of digital repositories through SEO
20138
14 201277
15 20112
16 200511
17 20043
18 20002
19 19983
20 199522

About Kenning Arlitsch

Kenning Arlitsch is a scholar working on Library and Information Sciences, Conservation, Statistics, Probability and Uncertainty, Information Systems and Information Systems and Management, having authored 38 papers that have together received 412 indexed citations. Recurring topics across this work include Research Data Management Practices (12 papers), scientometrics and bibliometrics research (8 papers), Library Collection Development and Digital Resources (6 papers), Scientific Computing and Data Management (6 papers), Library Science and Information Literacy (5 papers), Digital and Traditional Archives Management (5 papers), Web and Library Services (4 papers) and Big Data and Business Intelligence (3 papers). The work is most often cited by research in Library and Information Sciences (60 citations), Statistics, Probability and Uncertainty (89 citations), Information Systems (248 citations), Information Systems and Management (72 citations) and Health Informatics (12 citations). Kenning Arlitsch has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include Alexandra Dimitroff, Kristin Antelman, John Butler, Jason A. Clark and Martha Kyrillidou. Their work appears in journals such as Journal of Library Administration, Library Hi Tech, D-Lib Magazine, Online Information Review and Scientometrics.

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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