Ron Sacks‐Davis

60 papers receiving 1.3k citations

Peers

Ron Sacks‐Davis
Comparison fields: 5 of 83
  • Signal Processing 608
  • Computer Networks and Communications 762
  • Artificial Intelligence 830
  • Information Systems 535
  • Numerical Analysis 100
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Citations per year

Countries citing papers authored by Ron Sacks‐Davis

Since Specialization
Citations

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

Fields of papers citing papers by Ron Sacks‐Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ron Sacks‐Davis. 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 Ron Sacks‐Davis. The network helps show where Ron Sacks‐Davis may publish in the future.

Co-authors

The 23 scholars most cited alongside Ron Sacks‐Davis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ron Sacks‐Davis Line = papers co-authored together Ron Sacks‐Davis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996160
2
Proceedings of the 16th International Conference on Very Large Data Bases
1990127
3 199799
4 198779
5 198076
6 199966
7 198364
8 199660
9
An Efficient Indexing Technique for Full Text Databases
199255
10
Database Systems for Structured Documents
199549
11 198547
12
Similarity measures for short queries
199542
13 199542
14 198441
15
Retrieval of Partial Documents.
199338
16
Proceedings of the sixteenth international conference on Very large databases
199033
17 199531
18 199331
19 199429
20 199027

About Ron Sacks‐Davis

Ron Sacks‐Davis is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Numerical Analysis, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (30 papers), Algorithms and Data Compression (23 papers), Data Management and Algorithms (19 papers), Semantic Web and Ontologies (11 papers), Web Data Mining and Analysis (7 papers), Numerical methods for differential equations (7 papers), Advanced Numerical Methods in Computational Mathematics (5 papers) and Network Packet Processing and Optimization (4 papers). The work is most often cited by research in Signal Processing (608 citations), Computer Networks and Communications (762 citations), Artificial Intelligence (830 citations), Information Systems (535 citations) and Numerical Analysis (100 citations). Ron Sacks‐Davis has collaborated with scholars based in Australia, Italy and Singapore. Frequent co-authors include Justin Zobel, Kotagiri Ramamohanarao, Alistair Moffat, Dennis McLeod, Ross Wilkinson, Hans‐Jörg Schek, Kenneth R. Jackson, James A. Thom, Marcin Kaszkiel and Beng Chin Ooi. Their work appears in journals such as Information Systems, ACM Transactions on Database Systems, Information Processing & Management, ACM Transactions on Mathematical Software and BIT Numerical Mathematics.

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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