Thomas Fischer
- Management Science and Operations Research top 0.5%
- Economics and Econometrics top 2%
- Electrical and Electronic Engineering top 10%
- Finance top 2%
- Artificial Intelligence top 5%
- Co-authors
- Christopher KraußKlaus Meyer-WegenerRichard LenzSteffen ThielAndreas M. HeinAndreas WahlAlexander WolskiManfred Albach
- Topics
- Stock Market Forecasting Methods (4 papers)Peer-to-Peer Network Technologies (3 papers)Financial Markets and Investment Strategies (3 papers)
In The Last Decade
Thomas Fischer
15 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Management Science and Operations Research 1.1k
- Economics and Econometrics 506
- Electrical and Electronic Engineering 470
- Finance 426
- Artificial Intelligence 287
Countries citing papers authored by Thomas Fischer
This map shows the geographic impact of Thomas Fischer'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 Thomas Fischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Fischer more than expected).
Fields of papers citing papers by Thomas Fischer
This network shows the impact of papers produced by Thomas Fischer. 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 Thomas Fischer. The network helps show where Thomas Fischer may publish in the future.
Co-authorship network of co-authors of Thomas Fischer
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Fischer. A scholar is included among the top collaborators of Thomas Fischer 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 Thomas Fischer. Thomas Fischer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 24 | |
| 3 | 31 | |
| 4 | Deep learning with long short-term memory networks for financial market predictionsbreakdown → | 1380 |
| 5 | MATINEE: A Quality-of-Service-aware Event Semantics Modeling Language | 2 |
| 6 | 6 | |
| 7 | M2etis: An adaptable Publish/Subscribe System for MMVEs based on Event Semantics. | 2 |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 27 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 98 | |
| 14 | 20 | |
| 15 | 5 | |
| 16 | 1 |
About Thomas Fischer
Thomas Fischer is a scholar working on Management Science and Operations Research, Finance and Computer Networks and Communications, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (4 papers), Peer-to-Peer Network Technologies (3 papers) and Financial Markets and Investment Strategies (3 papers). The work is most often cited by research in Management Science and Operations Research (1.1k citations), Finance (426 citations) and Economics and Econometrics (506 citations). Thomas Fischer has collaborated with scholars based in Germany and Taiwan. Frequent co-authors include Christopher Krauß, Klaus Meyer-Wegener, Richard Lenz, Steffen Thiel, Andreas M. Hein, Andreas Wahl, Alexander Wolski and Manfred Albach. Their work appears in journals such as European Journal of Operational Research, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Economic Dynamics and Control.
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.