Frank E. Walter
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Peer-to-Peer Network Technologies 5
-
- Access Control and Trust 4
- Co-authors
- Stefano Battiston (6 shared papers)Frank Schweitzer (6 shared papers)Andrea Lorenz (1 shared paper)Stephan Rothstock (1 shared paper)Thomas Shiozawa (1 shared paper)Ulf Leichtle (1 shared paper)Karl‐Friedrich Krey (1 shared paper)
- Journals
- Bone and Joint Research (1 paper)Autonomous Agents and Multi-Agent Systems (1 paper)Advances in Complex Systems (1 paper)Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie (1 paper)Information Systems and e-Business Management (1 paper)
- Partner nations
- SwitzerlandGermanyCanada
In The Last Decade
Frank E. Walter
9 papers receiving 445 citations
Peers
Comparison fields: 5 of 54
- Information Systems 224
- Statistical and Nonlinear Physics 80
- Computer Networks and Communications 148
- Artificial Intelligence 180
- Sociology and Political Science 173
Countries citing papers authored by Frank E. Walter
This map shows the geographic impact of Frank E. Walter'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 Frank E. Walter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank E. Walter more than expected).
Fields of papers citing papers by Frank E. Walter
This network shows the impact of papers produced by Frank E. Walter. 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 Frank E. Walter. The network helps show where Frank E. Walter may publish in the future.
Co-authors
The 7 scholars most cited alongside Frank E. Walter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 302 | |
| 2 | 2009 | 63 | |
| 3 | 2016 | 43 | |
| 4 | 2011 | 36 | |
| 5 | Impact of Trust on the Performance of a Recommendation System in a Social Network | 2006 | 9 |
| 6 | 2008 | 8 | |
| 7 | 2007 | 8 | |
| 8 | 2011 | 3 | |
| 9 | 2007 | 2 |
About Frank E. Walter
Frank E. Walter is a scholar working on Computer Networks and Communications, Sociology and Political Science, Information Systems, Management Science and Operations Research and Surgery, having authored 9 papers that have together received 474 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (5 papers), Access Control and Trust (4 papers), Recommender Systems and Techniques (2 papers), Spam and Phishing Detection (1 paper), Orthodontics and Dentofacial Orthopedics (1 paper), Game Theory and Applications (1 paper), Pelvic and Acetabular Injuries (1 paper) and Spinal Fractures and Fixation Techniques (1 paper). The work is most often cited by research in Information Systems (224 citations), Statistical and Nonlinear Physics (80 citations), Computer Networks and Communications (148 citations), Artificial Intelligence (180 citations) and Sociology and Political Science (173 citations). Frank E. Walter has collaborated with scholars based in Switzerland, Germany and Canada. Frequent co-authors include Stefano Battiston, Frank Schweitzer, Andrea Lorenz, Stephan Rothstock, Thomas Shiozawa, Ulf Leichtle and Karl‐Friedrich Krey. Their work appears in journals such as Bone and Joint Research, Autonomous Agents and Multi-Agent Systems, Advances in Complex Systems, Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie and Information Systems and e-Business 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.