Michael Schwind

52 papers receiving 448 citations

Peers

Michael Schwind
Comparison fields: 5 of 92
  • Industrial and Manufacturing Engineering 142
  • Automotive Engineering 90
  • Management Information Systems 63
  • Management Science and Operations Research 82
  • Hardware and Architecture 37
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Countries citing papers authored by Michael Schwind

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schwind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Schwind, 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 Schwind Line = papers co-authored together Michael Schwind links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012113
2 200662
3 200829
4 201427
5 201418
6 200715
7 200814
8 200411
9 200610
10 200810
11 20089
12 20109
13 20079
14
A Pragmatic Approach to Traceability in Model-Driven Development
20089
15
Network Centrality and Stock Market Volatility: The Impact of Communication Topologies on Prices
20128
16 20178
17
Dynamic Pricing and Automated Resource Allocation for Complex Information Services: Reinforcement Learning and Combinatorial Auctions (Lecture Notes in Economics and Mathematical Systems)
20077
18 20087
19 20077
20
Collaborative Optimization of Last Mile Networks for Courier, Express and Parcel Delivery Services
20106

About Michael Schwind

Michael Schwind is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Information Systems, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 55 papers that have together received 482 indexed citations. Recurring topics across this work include Auction Theory and Applications (14 papers), Vehicle Routing Optimization Methods (6 papers), Digital Platforms and Economics (6 papers), Consumer Market Behavior and Pricing (5 papers), Transportation and Mobility Innovations (5 papers), Distributed and Parallel Computing Systems (5 papers), Supply Chain and Inventory Management (5 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (142 citations), Automotive Engineering (90 citations), Management Information Systems (63 citations), Management Science and Operations Research (82 citations) and Hardware and Architecture (37 citations). Michael Schwind has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include A. Stenger, Daniele Vigo, Wolfgang König, Gudula Rünger, Oliver Hinz, Roman Beck, Thomas Rauber, Markus Spiwoks, Claus Jäger and Markus Aleksy. Their work appears in journals such as The American Journal of Comparative Law, Journal of the Association for Information Systems, American Journal of International Law, Journal of Economic Interaction and Coordination and Geospatial health.

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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