Avi Pfeffer
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
- Artificial Intelligence top 1%
- Bayesian Modeling and Causal Inference
- Logic, Reasoning, and Knowledge
- Semantic Web and Ontologies
- AI-based Problem Solving and Planning
Papers in ⓘ
-
- Game Theory and Applications 19
- Co-authors
- Daphne Koller (8 shared papers)Nir Friedman (3 shared papers)Aviv Regev (2 shared papers)Ilan Wapinski (2 shared papers)Joseph M. Hellerstein (2 shared papers)Kobi Gal (16 shared papers)Jeffrey F. Naughton (1 shared paper)Daphne Koller (1 shared paper)
- Journals
- Artificial Intelligence (3 papers)ACM SIGMETRICS Performance Evaluation Review (1 paper)IEEE Software (1 paper)Bioinformatics (1 paper)Nature (1 paper)
- Partner nations
- United StatesNetherlandsIsrael
In The Last Decade
Avi Pfeffer
87 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 130
- Signal Processing 507
- Artificial Intelligence 1.3k
- Computer Networks and Communications 768
- Management Science and Operations Research 343
- Information Systems 451
Countries citing papers authored by Avi Pfeffer
This map shows the geographic impact of Avi Pfeffer'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 Avi Pfeffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avi Pfeffer more than expected).
Fields of papers citing papers by Avi Pfeffer
This network shows the impact of papers produced by Avi Pfeffer. 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 Avi Pfeffer. The network helps show where Avi Pfeffer may publish in the future.
Co-authors
The 25 scholars most cited alongside Avi Pfeffer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 480 | |
| 2 | Generalized Search Trees for Database Systems | 1995 | 275 |
| 3 | 1996 | 219 | |
| 4 | Probabilistic frame-based systems | 1998 | 159 |
| 5 | 2013 | 115 | |
| 6 | 1997 | 112 | |
| 7 | 2007 | 104 | |
| 8 | 2002 | 100 | |
| 9 | 2002 | 96 | |
| 10 | P-CLASSIC: a tractable probablistic description logic | 1997 | 94 |
| 11 | 2001 | 81 | |
| 12 | Effective Bayesian inference for stochastic programs | 1997 | 60 |
| 13 | 2010 | 49 | |
| 14 | Learning social preferences in games | 2004 | 42 |
| 15 | 2008 | 42 | |
| 16 | Modeling reciprocal behavior in human bilateral negotiation | 2007 | 36 |
| 17 | Learning probabilities for noisy first-order rules | 1997 | 35 |
| 18 | 2004 | 32 | |
| 19 | 2008 | 30 | |
| 20 | 2003 | 30 |
About Avi Pfeffer
Avi Pfeffer is a scholar working on General Decision Sciences, Management Science and Operations Research, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 89 papers that have together received 2.8k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (32 papers), Game Theory and Applications (19 papers), AI-based Problem Solving and Planning (15 papers), Advanced Database Systems and Queries (14 papers), Logic, Reasoning, and Knowledge (13 papers), Multi-Agent Systems and Negotiation (8 papers), Data Management and Algorithms (7 papers) and Artificial Intelligence in Games (6 papers). The work is most often cited by research in Signal Processing (507 citations), Artificial Intelligence (1.3k citations), Computer Networks and Communications (768 citations), Management Science and Operations Research (343 citations) and Information Systems (451 citations). Avi Pfeffer has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Daphne Koller, Nir Friedman, Aviv Regev, Ilan Wapinski, Joseph M. Hellerstein, Kobi Gal, Jeffrey F. Naughton, Daphne Koller, Norman F. Ramsey and Adam Sah. Their work appears in journals such as Artificial Intelligence, ACM SIGMETRICS Performance Evaluation Review, IEEE Software, Bioinformatics and Nature.
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.