Jörn Altmann

3.8k citations
139 papers · 2.0k · h-index 23

Impact in

Papers in

Jörn Altmann

120 papers receiving 1.9k citations

Peers

Jörn Altmann
Comparison fields: 5 of 134
  • Statistics, Probability and Uncertainty 206
  • Information Systems and Management 193
  • Information Systems 509
  • Computer Networks and Communications 478
  • Marketing 184
Replace Junseok Hwang with:
Junseok Hwang South Korea
Saeed‐Ul Hassan Pakistan
Yuqiang Feng China
Bill C. Hardgrave United States
Sean B. Eom United States
Sanjay Goel United States
Sérgio Moro Portugal
John S. Liu Taiwan
Stephen Shaoyi Liao Hong Kong
Ira Monarch United States
Jörn Altmann relative to Junseok Hwang South Korea Junseok Hwang's profile →
Citations per field
00.5×3.5×
Junseok Hwang · 1×
Citations per year

Countries citing papers authored by Jörn Altmann

Since Specialization
Citations

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

Fields of papers citing papers by Jörn Altmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011350
2 2017130
3 2014124
4 201476
5 201171
6 200969
7 200151
8 201146
9 202246
10 201637
11 201537
12 201537
13 201237
14 201432
15 201530
16 201729
17 201528
18 201828
19 199925
20 201524

About Jörn Altmann

Jörn Altmann is a scholar working on Computer Networks and Communications, Information Systems, Strategy and Management, Electrical and Electronic Engineering and Sociology and Political Science, having authored 139 papers that have together received 2.0k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (23 papers), Cloud Computing and Resource Management (22 papers), Digital Platforms and Economics (21 papers), Network Traffic and Congestion Control (13 papers), Complex Network Analysis Techniques (13 papers), ICT Impact and Policies (11 papers), Caching and Content Delivery (9 papers) and Peer-to-Peer Network Technologies (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (206 citations), Information Systems and Management (193 citations), Information Systems (509 citations), Computer Networks and Communications (478 citations) and Marketing (184 citations). Jörn Altmann has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Alireza Abbasi, Liaquat Hossain, Almas Heshmati, Shahrouz Abolhosseini, Junseok Hwang, Morteza Rasti−Barzoki, Mohammad-Bagher Jamali, Ivona Brandić, Omer Rana and Michael Maurer. Their work appears in journals such as Future Generation Computer Systems, Electronic Markets, Electronic Commerce Research and Applications, Sustainability and Journal of the Association for Information Systems.

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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