Marion G. Sobol

1.4k citations
50 papers · 941 indexed · h-index 15
Topics
Information Technology Governance and Strategy (6 papers)ERP Systems Implementation and Impact (5 papers)Big Data and Business Intelligence (4 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Marion G. Sobol

48 papers receiving 802 citations

Peers

Marion G. Sobol
Comparison fields: 5 of 109
  • Management Information Systems 449
  • Strategy and Management 329
  • Information Systems and Management 127
  • Information Systems 115
  • Sociology and Political Science 103
Replace Paul A. Strassmann with:
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Citations per field
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Citations per year

Countries citing papers authored by Marion G. Sobol

Since Specialization
Citations

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

Fields of papers citing papers by Marion G. Sobol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marion G. Sobol. 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 Marion G. Sobol. The network helps show where Marion G. Sobol may publish in the future.

Co-authorship network of co-authors of Marion G. Sobol

This figure shows the co-authorship network connecting the top 25 collaborators of Marion G. Sobol. A scholar is included among the top collaborators of Marion G. Sobol 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 Marion G. Sobol. Marion G. Sobol 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 66
2
Using Online Auctions to Choose Optimal Product Configurations
2
3 19
4 5
5 30
6 2
7 109
8 4
9 4
10 33
11 5
12
How projected IS expenditures differ for growing versus declining organizations
6
13 7
14
A Simple Method to Adjust Exponential Smoothing Forecasts for Trend and Seasonality
3
15
Shaping the Corporate Image: An Analytical Guide for Executive Decision Makers
23
16 12
17
Emerging computer technologies and manufacturing management
2
18 4
19
Comparison of the EEOCC Four-fifths Rule and a One, Two or Three Binomial Criterion
2
20 3

About Marion G. Sobol

Marion G. Sobol is a scholar working on Management Information Systems, Management of Technology and Innovation and Strategy and Management, having authored 50 papers that have together received 941 indexed citations. Recurring topics across this work include Information Technology Governance and Strategy (6 papers), ERP Systems Implementation and Impact (5 papers) and Big Data and Business Intelligence (4 papers). The work is most often cited by research in Management Information Systems (449 citations), Strategy and Management (329 citations) and Information Systems and Management (127 citations). Marion G. Sobol has collaborated with scholars based in United States, China and Japan. Frequent co-authors include William L. Cron, Gary Klein, Uday Apte, James J. Jiang, Timo Saarinen, A.P.J. Vepsäläinen, David Lei, Debbie Tesch, Gail E. Farrelly and Albert Kagan. Their work appears in journals such as Journal of the American Statistical Association, Communications of the ACM and The Review of Economics and Statistics.

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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