Kate Ehrlich

4.6k citations
70 papers · 3.1k indexed · 1 hit paper · h-index 27

Kate Ehrlich

68 papers receiving 2.7k citations

Hit Papers

Empirical Studies of Programming Knowledge6171984202619982012200400600

Peers

Kate Ehrlich
Comparison fields: 5 of 112
  • Computer Science Applications 836
  • Software 299
  • Information Systems 1.3k
  • Communication 382
  • Developmental and Educational Psychology 612
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Kate Ehrlich

Since Specialization
Citations

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

Fields of papers citing papers by Kate Ehrlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20169
2 20148
3 20139
4
Proceedings of the 1st Workshop on Web 2.0 for Software Engineering
20101
5 201040
6 20103
7
Jazz as a research platform: experience from the Software Development Governance Group at IBM Research
20082
8
Enhanced Professional Networking and its Impact on Personal Development and Business Success
20081
9 200821
10 200645
11 19985
12
Cost justification of usability engineering: a vendors's perspective
199429
13
Usability engineering for Lotus 1–2–3 release 4
19942
14 19944
15
Software psychology: the need for an interdisciplinary program
19871
16 198629
17 19856
18
An empirical investigation of the tacit plan knowledge in programming
198486
19
Empirical Studies of Programming Knowledgebreakdown →
1984617
20 19839

About Kate Ehrlich

Kate Ehrlich is a scholar working on Computer Science Applications, Communication and Information Systems, having authored 70 papers that have together received 3.1k indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (17 papers), Knowledge Management and Sharing (16 papers), Software Engineering Research (13 papers), Team Dynamics and Performance (12 papers), Open Source Software Innovations (11 papers), Expert finding and Q&A systems (8 papers), Usability and User Interface Design (7 papers) and Digital Marketing and Social Media (6 papers). The work is most often cited by research in Computer Science Applications (836 citations), Software (299 citations) and Information Systems (1.3k citations). Kate Ehrlich has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Elliot Soloway, N. Sadat Shami, Keith Rayner, Jeffrey Bonar, P. N. Johnson‐Laird, David A. Maltz, Ching‐Yung Lin, Marcelo Cataldo, Inga Carboni and Klarissa Chang. Their work appears in journals such as interactions, ACM Transactions on Information Systems, IEEE Software, California Management Review and Journal of Nuclear Materials.

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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