Thomas Schwab

1.5k citations
26 papers · 359 · h-index 11

Impact in

Papers in

    • Economic Policies and Impacts 4
    • Innovation Policy and R&D 3
    • Fiscal Policy and Economic Growth 2
    • Protein purification and stability 7
    • Viral Infectious Diseases and Gene Expression in Insects 6

Thomas Schwab

23 papers receiving 327 citations

Peers

Thomas Schwab
Comparison fields: 5 of 81
  • Human-Computer Interaction 46
  • Accounting 43
  • Computer Science Applications 20
  • Information Systems and Management 22
  • Economics and Econometrics 78
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Citations per year

Countries citing papers authored by Thomas Schwab

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198588
2 198543
3 201723
4
TRAFFIC SIMULATION SUPPORTING URBAN CONTROL SYSTEM DEVELOPMENT
199722
5 201620
6 201919
7 202118
8 202117
9 202316
10 202215
11 202313
12
Upsilon-pi-ADAPT-epsilon-rho: Individualizing hypertext
19909
13 20249
14 20189
15 20219
16 20237
17 20236
18
Combining hypermedia browsing with formal queries
19905
19 20024
20 20193

About Thomas Schwab

Thomas Schwab is a scholar working on Economics and Econometrics, Molecular Biology, Accounting, Radiology, Nuclear Medicine and Imaging and Political Science and International Relations, having authored 26 papers that have together received 359 indexed citations. Recurring topics across this work include Corporate Taxation and Avoidance (7 papers), Protein purification and stability (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Economic Policies and Impacts (4 papers), Innovation Policy and R&D (3 papers), Fiscal Policy and Economic Growth (2 papers) and Taxation and Legal Issues (2 papers). The work is most often cited by research in Human-Computer Interaction (46 citations), Accounting (43 citations), Computer Science Applications (20 citations), Information Systems and Management (22 citations) and Economics and Econometrics (78 citations). Thomas Schwab has collaborated with scholars based in Germany, Norway and United States. Frequent co-authors include Andreas Lemke, Gerhard Fischer, Jürgen Hubbuch, Gang Wang, Nadine Riedel, Joey Studts, Johannes Voget, Kurt Krapfenbauer, Thomas Flad and Friedrich Heinemann. Their work appears in journals such as Intereconomics, Journal of Chromatography A, Research Policy, Biotechnology and Bioengineering and Engineering in Life Sciences.

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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