Daniel Deutch

1.3k total citations
75 papers, 686 citations indexed

About

Daniel Deutch is a scholar working on Information Systems and Management, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Daniel Deutch has authored 75 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Information Systems and Management, 42 papers in Computer Networks and Communications and 29 papers in Artificial Intelligence. Recurrent topics in Daniel Deutch's work include Scientific Computing and Data Management (46 papers), Advanced Database Systems and Queries (33 papers) and Data Quality and Management (21 papers). Daniel Deutch is often cited by papers focused on Scientific Computing and Data Management (46 papers), Advanced Database Systems and Queries (33 papers) and Data Quality and Management (21 papers). Daniel Deutch collaborates with scholars based in Israel, United States and France. Daniel Deutch's co-authors include Tova Milo, Val Tannen, Yael Amsterdamer, Susan B. Davidson, Julia Stoyanovich, Jonathan Berant, Yoav Goldberg, Ankit Gupta, Matt Gardner and Mor Geva and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and Journal of Computer and System Sciences.

In The Last Decade

Daniel Deutch

68 papers receiving 648 citations

Peers

Daniel Deutch
Comparison fields: 5 of 38
  • Information Systems and Management 391
  • Computer Networks and Communications 335
  • Artificial Intelligence 281
  • Information Systems 248
  • Management Science and Operations Research 191
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Citations per field, relative to Daniel Deutch
Daniel Deutch · 1×
Citations per year, relative to Daniel Deutch
Daniel Deutch · 1×

Countries citing papers authored by Daniel Deutch

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Deutch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Deutch

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Deutch. A scholar is included among the top collaborators of Daniel Deutch 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 Daniel Deutch. Daniel Deutch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 15
3 2
4 7
5 4
6 9
7 5
8
Provenance for Non-Experts.
5
9 0
10
A Model for Fine-Grained Data Citation.
10
11 5
12 9
13
Approximated Provenance for Complex Applications
2
14
Caravan: Provisioning for What-If Analysis
17
15 10
16 6
17 94
18 1
19 9
20
Querying Future and Past in Business Processes.
0

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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