Chris Sauer

2.1k citations
49 papers · 1.5k · h-index 19

Impact in

Papers in

Chris Sauer

49 papers receiving 1.4k citations

Peers

Chris Sauer
Comparison fields: 5 of 102
  • Management Information Systems 372
  • Management Science and Operations Research 341
  • Information Systems 435
  • Communication 146
  • Business and International Management 18
Replace Gary Pan with:
Gary Pan Singapore
Athanasia Pouloudi United Kingdom
Il-Horn Hann United States
Line Dubé Canada
K.D. Joshi United States
Kijpokin Kasemsap Thailand
Wonseok Oh South Korea
Debra C. Gash United States
Neil C. Ramiller United States
Joan Ballantine United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Chris Sauer

Since Specialization
Citations

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

Fields of papers citing papers by Chris Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Chris Sauer, 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 Chris Sauer Line = papers co-authored together Chris Sauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Why information systems fail: a case study approach
1993313
2 2007145
3 2010117
4 2013108
5 2008105
6 201295
7 200783
8 199947
9 200747
10 200245
11 201642
12
Moving to e-business
200035
13 200834
14 201534
15 200333
16 199722
17 201421
18
Why Information Systems Fail
199320
19 201719
20 199515

About Chris Sauer

Chris Sauer is a scholar working on Management Information Systems, Information Systems, Management Science and Operations Research, Communication and Sociology and Political Science, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (15 papers), Information Systems Theories and Implementation (15 papers), Information Technology Governance and Strategy (14 papers), Construction Project Management and Performance (9 papers), Information Systems Education and Curriculum Development (8 papers), Knowledge Management and Sharing (5 papers), Innovation and Knowledge Management (5 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Management Information Systems (372 citations), Management Science and Operations Research (341 citations), Information Systems (435 citations), Communication (146 citations) and Business and International Management (18 citations). Chris Sauer has collaborated with scholars based in United Kingdom, Australia and Canada. Frequent co-authors include Blaize Horner Reich, Leslie P. Willcocks, Andrew Gemino, Mary C. Lacity, Ross Jeffery, Lesley Pek Wee Land, Suzan Burton, Marton Marosszeky, Gray Southon and Philip Yetton. Their work appears in journals such as Journal of the Association for Information Systems, International Journal of Project Management, Journal of Information Technology, Communications of the ACM and Empirical Software Engineering.

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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