Michael Benisch

23 papers receiving 425 citations

Peers

Michael Benisch
Comparison fields: 5 of 31
  • Management Information Systems 79
  • Artificial Intelligence 152
  • Sociology and Political Science 218
  • Management Science and Operations Research 69
  • Human-Computer Interaction 22
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Elizabeth Tansley Australia
Cheryl L. Dunn United States
Markus Stolze Switzerland
Richard D. Hackathorn United States
Paolo Donzelli Italy
Eckhard D. Falkenberg Netherlands
Tomonari Kamba Japan
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Golnaz Elahi Canada
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Citations per field
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Citations per year

Countries citing papers authored by Michael Benisch

Since Specialization
Citations

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

Fields of papers citing papers by Michael Benisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Michael Benisch, 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 Michael Benisch Line = papers co-authored together Michael Benisch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010134
2 200950
3 201143
4 200439
5 201230
6 200626
7
Botticelli: a supply chain management agent
200425
8 200423
9
Algorithms for rationalizability and CURB sets
200614
10 200613
11 200811
12 20089
13 20117
14 20106
15 20125
16 20083
17
Who, When, Where: Obfuscation Preferences in Location-Sharing Applications
20113
18 20183
19 20183
20 20072

About Michael Benisch

Michael Benisch is a scholar working on Management Information Systems, Management Science and Operations Research, Artificial Intelligence, Industrial and Manufacturing Engineering and Sociology and Political Science, having authored 27 papers that have together received 455 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (13 papers), Privacy, Security, and Data Protection (8 papers), Multi-Agent Systems and Negotiation (8 papers), Scheduling and Optimization Algorithms (3 papers), Game Theory and Applications (3 papers), Auction Theory and Applications (3 papers), Privacy-Preserving Technologies in Data (1 paper) and Optimization and Packing Problems (1 paper). The work is most often cited by research in Management Information Systems (79 citations), Artificial Intelligence (152 citations), Sociology and Political Science (218 citations), Management Science and Operations Research (69 citations) and Human-Computer Interaction (22 citations). Michael Benisch has collaborated with scholars based in United States, Croatia and Romania. Frequent co-authors include Norman Sadeh, Patrick Gage Kelley, Lorrie Faith Cranor, Ramprasad Ravichandran, Michael Carl Tschantz, Victor Naroditskiy, Amy Greenwald, Alberto Sardinha, Tüomas Sandholm and James Andrews. Their work appears in journals such as Electronic Commerce Research and Applications, Personal and Ubiquitous Computing, Journal of Artificial Intelligence Research, Lecture notes in computer science and Lecture notes in business information processing.

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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