Moisés Goldszmidt
Impact in
- Artificial Intelligence top 0.2%
- Bayesian Modeling and Causal Inference
- Anomaly Detection Techniques and Applications
- Logic, Reasoning, and Knowledge
- Machine Learning and Data Classification
- Software top 1%
Papers in
- Software 5
-
- Software System Performance and Reliability 14
- Network Security and Intrusion Detection 9
- Advanced Data Storage Technologies 6
- Co-authors
- Nir FriedmanDan GeigerCraig BoutilierIra L. CohenJudea PearlJulie SymonsRichard DeardenTerence Kelly
- Journals
- Artificial Intelligence (3 papers)ACM SIGCOMM Computer Communication Review (1 paper)Machine Learning (1 paper)Journal of the American Statistical Association (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Moisés Goldszmidt
55 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Artificial Intelligence 3.8k
- Software 378
- Computer Networks and Communications 1.8k
- Information Systems 1.6k
- Signal Processing 620
Countries citing papers authored by Moisés Goldszmidt
This map shows the geographic impact of Moisés Goldszmidt'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 Moisés Goldszmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moisés Goldszmidt more than expected).
Fields of papers citing papers by Moisés Goldszmidt
This network shows the impact of papers produced by Moisés Goldszmidt. 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 Moisés Goldszmidt. The network helps show where Moisés Goldszmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Moisés Goldszmidt, 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 | Finding soon-to-fail disks in a haystack | 2012 | 16 |
| 2 | Accounting for Variability in Large-Scale Cluster Power Models | 2011 | 18 |
| 3 | 2011 | 6 | |
| 4 | 2009 | 4 | |
| 5 | HiLighter: automatically building robust signatures of performance behavior for small- and large-scale systems | 2008 | 21 |
| 6 | Discovering Dependencies for Network Management. | 2006 | 32 |
| 7 | Three research challenges at the intersection of machine learning, statistical induction, and systems | 2005 | 10 |
| 8 | Correlating instrumentation data to system states: a building block for automated diagnosis and control | 2004 | 357 |
| 9 | 2000 | 216 | |
| 10 | On the application of the bootstrap for computing confidence measures on features of induced Bayesian networks. | 1999 | 15 |
| 11 | Sequential auctions for the allocation of resources with complementarities | 1999 | 104 |
| 12 | Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting | 1998 | 52 |
| 13 | Challenge: what is the impact of Bayesian networks on learning? | 1997 | 16 |
| 14 | Building classifiers using Bayesian networks | 1996 | 118 |
| 15 | Discretizing continuous attributes while learning Bayesian networks | 1996 | 117 |
| 16 | 1996 | 156 | |
| 17 | Exploiting Structure in Policy Construction | 1995 | 223 |
| 18 | Revision by conditional beliefs | 1993 | 22 |
| 19 | Rank-based Systems: A Simple Approach to Belief Revision, Belief Update, and Reasoning about Evidence and Actions. | 1992 | 102 |
| 20 | 1991 | 37 |
About Moisés Goldszmidt
Moisés Goldszmidt is a scholar working on Software, Computer Networks and Communications, Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 57 papers that have together received 6.6k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (21 papers), Software System Performance and Reliability (14 papers), Network Security and Intrusion Detection (9 papers), Cloud Computing and Resource Management (9 papers), Logic, Reasoning, and Knowledge (8 papers), AI-based Problem Solving and Planning (7 papers), Data Quality and Management (7 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Artificial Intelligence (3.8k citations), Software (378 citations), Computer Networks and Communications (1.8k citations), Information Systems (1.6k citations) and Signal Processing (620 citations). Moisés Goldszmidt has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Nir Friedman, Dan Geiger, Craig Boutilier, Ira L. Cohen, Judea Pearl, Julie Symons, Richard Dearden, Terence Kelly, Armando Fox and Jeffrey S. Chase. Their work appears in journals such as Artificial Intelligence, ACM SIGCOMM Computer Communication Review, Machine Learning, Journal of the American Statistical Association and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.