Daniel Deutch

72 papers receiving 773 citations

Peers

Daniel Deutch
Comparison fields: 5 of 42
  • Information Systems and Management 441
  • Management Science and Operations Research 216
  • Computer Networks and Communications 394
  • Information Systems 312
  • Artificial Intelligence 345
Replace Irini Fundulaki with:
Irini Fundulaki Greece
Len Seligman United States
Arvid Heise Germany
Grigoris Karvounarakis United States
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Yeye He United States
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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-authors

The 25 scholars most cited alongside Daniel Deutch, 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 Daniel Deutch Line = papers co-authored together Daniel Deutch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011108
2 201196
3 202064
4 201426
5 201525
6 200825
7 201722
8
Caravan: Provisioning for What-If Analysis
201321
9 201120
10 201020
11 202219
12 200718
13 202318
14 201618
15 200914
16 200914
17 201213
18 201113
19
A Model for Fine-Grained Data Citation.
201712
20 201112

About Daniel Deutch

Daniel Deutch is a scholar working on Information Systems and Management, Computer Networks and Communications, Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 79 papers that have together received 815 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (48 papers), Advanced Database Systems and Queries (35 papers), Data Quality and Management (21 papers), Research Data Management Practices (19 papers), Semantic Web and Ontologies (13 papers), Distributed and Parallel Computing Systems (11 papers), Data Management and Algorithms (9 papers) and Business Process Modeling and Analysis (8 papers). The work is most often cited by research in Information Systems and Management (441 citations), Management Science and Operations Research (216 citations), Computer Networks and Communications (394 citations), Information Systems (312 citations) and Artificial Intelligence (345 citations). Daniel Deutch has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Tova Milo, Val Tannen, Yael Amsterdamer, Susan B. Davidson, Julia Stoyanovich, Jonathan Berant, Yoav Goldberg, Matt Gardner, Ankit Gupta and Ohad Greenshpan. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal, ACM SIGMOD Record, Transactions of the Association for Computational Linguistics and ACM Transactions on Database Systems.

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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