Uri Shaft

2.8k total citations
13 papers, 281 citations indexed

About

Uri Shaft is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Uri Shaft has authored 13 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 7 papers in Signal Processing and 5 papers in Information Systems. Recurrent topics in Uri Shaft's work include Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (6 papers) and Software System Performance and Reliability (3 papers). Uri Shaft is often cited by papers focused on Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (6 papers) and Software System Performance and Reliability (3 papers). Uri Shaft collaborates with scholars based in United States and France. Uri Shaft's co-authors include J. Goldstein, R. Ramakrishnan, Karl Dias, Venkateshwaran Venkataramani, Graham Wood, Raghu Ramakrishnan, Raghu Ramakrishnan, Jonathan Goldstein, Benoît Dageville and Nimrod Megiddo and has published in prestigious journals such as ACM Transactions on Database Systems, Conference on Innovative Data Systems Research and IEEE Data(base) Engineering Bulletin.

In The Last Decade

Uri Shaft

13 papers receiving 245 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Uri Shaft United States 6 210 129 126 79 57 13 281
Wan Chang United States 4 266 1.3× 122 0.9× 166 1.3× 68 0.9× 21 0.4× 5 297
Gennady Antoshenkov United States 8 292 1.4× 164 1.3× 227 1.8× 84 1.1× 30 0.5× 10 325
Shyh-Kwei Chen United States 10 132 0.6× 72 0.6× 114 0.9× 45 0.6× 36 0.6× 30 236
Juncheng Yang United States 10 203 1.0× 111 0.9× 70 0.6× 117 1.5× 29 0.5× 27 325
M. Muralikrishna United States 7 491 2.3× 192 1.5× 314 2.5× 114 1.4× 59 1.0× 12 557
Priti Mishra India 3 206 1.0× 84 0.7× 154 1.2× 81 1.0× 28 0.5× 9 252
D. Donjerkovic United States 6 193 0.9× 89 0.7× 193 1.5× 72 0.9× 128 2.2× 8 297
Margaret H. Eich United States 7 304 1.4× 92 0.7× 160 1.3× 95 1.2× 27 0.5× 20 342
Lefteris Sidirourgos Netherlands 6 272 1.3× 194 1.5× 135 1.1× 82 1.0× 54 0.9× 11 327
Stratos Papadomanolakis United States 8 260 1.2× 54 0.4× 133 1.1× 114 1.4× 32 0.6× 14 284

Countries citing papers authored by Uri Shaft

Since Specialization
Citations

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

Fields of papers citing papers by Uri Shaft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uri Shaft

This figure shows the co-authorship network connecting the top 25 collaborators of Uri Shaft. A scholar is included among the top collaborators of Uri Shaft based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Uri Shaft. Uri Shaft is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Dageville, Benoît, et al.. (2011). A Decade of Oracle Database Manageability.. IEEE Data(base) Engineering Bulletin. 34. 20–27. 3 indexed citations
2.
Wang, Yujun, et al.. (2009). Real application testing with database replay. 1–6. 3 indexed citations
3.
Cruanes, Thierry, et al.. (2008). Efficient and scalable statistics gathering for large databases in Oracle 11g. 1053–1064. 14 indexed citations
4.
Dageville, Benoît, Karl Dias, Leonidas Galanis, et al.. (2008). Oracle real application testing. 1–6. 2 indexed citations
5.
Shaft, Uri & Raghu Ramakrishnan. (2006). Theory of nearest neighbors indexability. ACM Transactions on Database Systems. 31(3). 814–838. 22 indexed citations
6.
Dias, Karl, et al.. (2005). Automatic Performance Diagnosis and Tuning in Oracle. Conference on Innovative Data Systems Research. 84–94. 76 indexed citations
7.
Smith, John, David Doermann, Amarnath Gupta, et al.. (2005). Multimedia applications. 71–72. 2 indexed citations
8.
Ramakrishnan, Raghu, et al.. (2004). Mass collaboration: a case study. 133–146. 1 indexed citations
9.
Goldstein, J., R. Ramakrishnan, & Uri Shaft. (2002). Compressing relations and indexes. 112 indexed citations
10.
Goldstein, Jonathan, et al.. (1997). Processing queries by linear constraints. 257–267. 32 indexed citations
11.
Megiddo, Nimrod & Uri Shaft. (1997). EFFICIENT NEAREST NEIGHBOR INDEXING BASED ON A COLLECTION OF SPACE FILLING CURVES. 6 indexed citations
12.
Shaft, Uri & Raghu Ramakrishnan. (1996). Data Modeling and Querying in the PIQ Image DBMS.. IEEE Data(base) Engineering Bulletin. 19. 28–36. 4 indexed citations
13.
Shaft, Uri & Raghu Ramakrishnan. (1996). <title>Data modeling and feature extraction for image databases</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2916. 90–102. 4 indexed citations

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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