Seth Earley

413 citations
31 papers · 252 · h-index 8

Impact in

Papers in

Seth Earley

29 papers receiving 235 citations

Peers

Seth Earley
Comparison fields: 5 of 63
  • Management Information Systems 106
  • Information Systems and Management 32
  • Management Science and Operations Research 44
  • Strategy and Management 50
  • Industrial and Manufacturing Engineering 33
Replace Khalaf Khatatneh with:
Khalaf Khatatneh Jordan
Jacky Akoka France
Pavlos Delias Greece
Basel J. A. Ali Bahrain
Guochao Peng China
Hossein Bidgoli United States
Nicolas Prat France
Philipp Offermann Germany
Junichi Iijima Japan
Arben Asllani United States
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Citations per field
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Citations per year

Countries citing papers authored by Seth Earley

Since Specialization
Citations

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

Fields of papers citing papers by Seth Earley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Seth Earley, 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 Seth Earley Line = papers co-authored together Seth Earley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201354
2 201448
3 201541
4 201411
5
Practical knowledge management : the lotus knowledge discovery system
200110
6 20187
7 20167
8 20147
9 20166
10 20146
11 20156
12 20156
13 20235
14 20175
15 20175
16 20164
17 20174
18 20113
19 20153
20 20172

About Seth Earley

Seth Earley is a scholar working on Management Information Systems, Information Systems, Computer Networks and Communications, Marketing and Information Systems and Management, having authored 31 papers that have together received 252 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (18 papers), Data Quality and Management (3 papers), Big Data Technologies and Applications (3 papers), Service-Oriented Architecture and Web Services (2 papers), Artificial Intelligence in Education (1 paper), Software System Performance and Reliability (1 paper), Cloud Computing and Resource Management (1 paper) and Cognitive Computing and Networks (1 paper). The work is most often cited by research in Management Information Systems (106 citations), Information Systems and Management (32 citations), Management Science and Operations Research (44 citations), Strategy and Management (50 citations) and Industrial and Manufacturing Engineering (33 citations). Seth Earley has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Sunil Mithas, Maria R. Lee, San Murugesan, Robert R. Harmon, Haluk Demirkan and Sanjay S. Mehta. Their work appears in journals such as IT Professional, Bulletin of the American Society for Information Science and Technology and RePEc: Research Papers in Economics.

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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