Michael Neubert

460 citations
54 papers · 277 · h-index 11

Impact in

Papers in

Michael Neubert

45 papers receiving 198 citations

Peers

Michael Neubert
Comparison fields: 5 of 57
  • Strategy and Management 130
  • Business and International Management 14
  • Management Information Systems 54
  • Management of Technology and Innovation 35
  • Marketing 34
Replace Harcharanjit Singh with:
Harcharanjit Singh Malaysia
Marla Howard United States
José Fernández Menéndez Spain
Mariana Giovanna Andrade Rojas United States
Reinhard Meckl Germany
Νικόλαος Γεωργόπουλος Greece
Yasushi Ueki Japan
Sabrina C. Thornton United Kingdom
Lee-Hsuan Lin Taiwan
Kuang‐Hsun Shih Taiwan
Michael Neubert relative to Harcharanjit Singh Malaysia Harcharanjit Singh's profile →
Citations per field
00.5×2.6×
Harcharanjit Singh · 1×
Citations per year

Countries citing papers authored by Michael Neubert

Since Specialization
Citations

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

Fields of papers citing papers by Michael Neubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Michael Neubert, 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 Neubert Line = papers co-authored together Michael Neubert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201921
2 201820
3 202019
4 201617
5 201716
6 201715
7 201914
8 201613
9 201512
10 201811
11 201911
12 201810
13 20229
14 20178
15 20208
16 20227
17 20206
18 20176
19 20195
20 20195

About Michael Neubert

Michael Neubert is a scholar working on Strategy and Management, Economics and Econometrics, Management of Technology and Innovation, Management Information Systems and Information Systems, having authored 54 papers that have together received 277 indexed citations. Recurring topics across this work include International Business and FDI (18 papers), Firm Innovation and Growth (9 papers), Entrepreneurship Studies and Influences (7 papers), FinTech, Crowdfunding, Digital Finance (4 papers), Innovation and Knowledge Management (4 papers), Digital Platforms and Economics (3 papers), Corporate Finance and Governance (3 papers) and Open Source Software Innovations (2 papers). The work is most often cited by research in Strategy and Management (130 citations), Business and International Management (14 citations), Management Information Systems (54 citations), Management of Technology and Innovation (35 citations) and Marketing (34 citations). Michael Neubert has collaborated with scholars based in France, United States and Paraguay. Frequent co-authors include Daphne Halkias, Wolfgang Rams, Paul W. Thurman, Christian Díaz and José Vera. Their work appears in journals such as International Journal of Technology Enhanced Learning, Journal of Revenue and Pricing Management, Technology Innovation Management Review, Slavic & East European Information Resources and International Journal of Project Organisation and Management.

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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