Jessica Keyes

553 citations
38 papers · 247 indexed · h-index 11
Topics
Big Data and Business Intelligence (6 papers)Software Engineering Techniques and Practices (4 papers)Information Technology Governance and Strategy (3 papers)

In The Last Decade

Jessica Keyes

33 papers receiving 210 citations

Peers

Jessica Keyes
Comparison fields: 5 of 67
  • Information Systems 86
  • Management Information Systems 67
  • Artificial Intelligence 36
  • Strategy and Management 31
  • Sociology and Political Science 31
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Citations per field
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Citations per year

Countries citing papers authored by Jessica Keyes

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Keyes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Keyes

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Keyes. A scholar is included among the top collaborators of Jessica Keyes 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 Jessica Keyes. Jessica Keyes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Enterprise 2.0: Social Networking Tools to Transform Your Organization
5
2 10
3
Social Software Engineering: Development and Collaboration with Social Networking
7
4
Identifying the Barriers to Knowledge Sharing in Knowledge Intensive Organizations
10
5
Internet Management
2
6
X Internet
3
7
Knowledge Management, Business Intelligence, and Content Management: The IT Practitioner's Guide
21
8
Implementing the IT Balanced Scorecard: Aligning IT with Corporate Strategy
26
9 21
10
Banking technology handbook
4
11
Webcasting: How to Broadcast to Your Customers over the Net
4
12
Technology and change
1
13
Software Engineering Productivity Handbook
10
14
Getting Prolog off the ground
1
15
AI on a chip
2
16
Expert help desks: expert help for the 90's
0
17
AI in the big six
2
18
Where's the “expert” in expert systems?
1
19
Why expert systems fail
1
20 1

About Jessica Keyes

Jessica Keyes is a scholar working on Management Information Systems, Software and Management of Technology and Innovation, having authored 38 papers that have together received 247 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (6 papers), Software Engineering Techniques and Practices (4 papers) and Information Technology Governance and Strategy (3 papers). The work is most often cited by research in Management Information Systems (67 citations), Software (21 citations) and Information Systems (86 citations). Jessica Keyes has collaborated with scholars based in United Kingdom, Denmark and Ireland. Frequent co-authors include Ala Yankouskaya and Maria Semkovska. Their work appears in journals such as Psychological Reports, Counselling and Psychotherapy Research and CRC Press eBooks.

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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