P. Bollmann
Impact in
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Software Engineering Research
- Web Data Mining and Analysis
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
Papers in
-
- Information Retrieval and Search Behavior 13
- Software Engineering Research 2
-
- Advanced Text Analysis Techniques 2
- Bayesian Modeling and Causal Inference 2
- Logic, Reasoning, and Knowledge 2
- Advanced Software Engineering Methodologies 2
- Co-authors
- Vijay V. Raghavan (5 shared papers)Gwang S. Jung (2 shared papers)S. K. M. Wong (4 shared papers)Horst Zuse (4 shared papers)Yiyu Yao (3 shared papers)
- Journals
- ACM SIGIR Forum (3 papers)ACM SIGPLAN Notices (2 papers)ACM Transactions on Information Systems (1 paper)Information Processing & Management (1 paper)International Journal of General Systems (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
P. Bollmann
20 papers receiving 463 citations
Peers
Comparison fields: 5 of 104
- Information Systems 211
- Artificial Intelligence 261
- Software 26
- Signal Processing 67
- Management Science and Operations Research 65
Countries citing papers authored by P. Bollmann
This map shows the geographic impact of P. Bollmann'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 P. Bollmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Bollmann more than expected).
Fields of papers citing papers by P. Bollmann
This network shows the impact of papers produced by P. Bollmann. 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 P. Bollmann. The network helps show where P. Bollmann may publish in the future.
Co-authors
The 5 scholars most cited alongside P. Bollmann, 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 | 1989 | 295 | |
| 2 | 1991 | 39 | |
| 3 | 1989 | 28 | |
| 4 | 1985 | 25 | |
| 5 | 1980 | 24 | |
| 6 | 1984 | 23 | |
| 7 | 1987 | 15 | |
| 8 | 1989 | 12 | |
| 9 | 1983 | 12 | |
| 10 | 1991 | 8 | |
| 11 | 1988 | 6 | |
| 12 | 1992 | 5 | |
| 13 | 1992 | 4 | |
| 14 | 1981 | 4 | |
| 15 | 1989 | 3 | |
| 16 | 1983 | 3 | |
| 17 | 1991 | 2 | |
| 18 | 1982 | 1 | |
| 19 | 1981 | 1 | |
| 20 | 1983 | 1 |
About P. Bollmann
P. Bollmann is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research and Signal Processing, having authored 20 papers that have together received 511 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (13 papers), Advanced Text Analysis Techniques (2 papers), Data Management and Algorithms (2 papers), Bayesian Modeling and Causal Inference (2 papers), Logic, Reasoning, and Knowledge (2 papers), Software Reliability and Analysis Research (2 papers), Advanced Software Engineering Methodologies (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Information Systems (211 citations), Artificial Intelligence (261 citations), Software (26 citations), Signal Processing (67 citations) and Management Science and Operations Research (65 citations). P. Bollmann has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Vijay V. Raghavan, Gwang S. Jung, S. K. M. Wong, Horst Zuse and Yiyu Yao. Their work appears in journals such as ACM SIGIR Forum, ACM SIGPLAN Notices, ACM Transactions on Information Systems, Information Processing & Management and International Journal of General 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.