Daniel Deutch

68 papers receiving 648 citations

Peers

Daniel Deutch
Comparison fields: 5 of 38
  • Information Systems and Management 391
  • Management Science and Operations Research 191
  • Computer Networks and Communications 335
  • Information Systems 248
  • Artificial Intelligence 281
Replace Wolfgang Gatterbauer with:
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Giovanni Tummarello Ireland
Arvid Heise Germany
Grigoris Karvounarakis United States
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Citations per year

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 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201194
2 201180
3 202056
4 200824
5 201523
6 201422
7 201720
8 202219
9 201019
10 201618
11
Caravan: Provisioning for What-If Analysis
201317
12 202315
13 201115
14 200913
15 201112
16 200912
17 201211
18
A Model for Fine-Grained Data Citation.
201710
19 201210
20 201110

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 75 papers that have together received 686 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (46 papers), Advanced Database Systems and Queries (33 papers), Data Quality and Management (21 papers), Research Data Management Practices (18 papers), Distributed and Parallel Computing Systems (11 papers), Semantic Web and Ontologies (10 papers), Data Management and Algorithms (9 papers) and Explainable Artificial Intelligence (XAI) (6 papers). The work is most often cited by research in Information Systems and Management (391 citations), Management Science and Operations Research (191 citations), Computer Networks and Communications (335 citations), Information Systems (248 citations) and Artificial Intelligence (281 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, Ankit Gupta, Matt Gardner, Mor Geva and Yoav Goldberg. Their work appears in journals such as Proceedings of the VLDB Endowment, The VLDB Journal, ACM SIGMOD Record, Journal of Computer and System Sciences and Transactions of the Association for Computational Linguistics.

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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