Alan Nash

1.3k citations
29 papers · 913 · h-index 17

Impact in

Papers in

Alan Nash

28 papers receiving 847 citations

Peers

Alan Nash
Comparison fields: 5 of 37
  • Computer Networks and Communications 730
  • Signal Processing 284
  • Artificial Intelligence 763
  • Management Science and Operations Research 184
  • Information Systems 198
Replace Jef Wijsen with:
Jef Wijsen Belgium
Davide Martinenghi Italy
Jens Lechtenbörger Germany
Irini Fundulaki Greece
Carlos A. Heuser Brazil
Jérôme Darmont France
Upen S. Chakravarthy United States
Jagannathan Srinivasan United States
Johann Christoph Freytag Germany
Egor V. Kostylev United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Alan Nash

Since Specialization
Citations

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

Fields of papers citing papers by Alan Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Alan Nash, 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 Alan Nash Line = papers co-authored together Alan Nash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008205
2 201070
3 200666
4 200662
5 200862
6 200855
7 200544
8 200743
9 200740
10 200637
11 200634
12 200428
13
Foundations of information integration
200624
14 200424
15 201023
16 200621
17 200417
18 200413
19 201010
20 20118

About Alan Nash

Alan Nash is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 29 papers that have together received 913 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (19 papers), Semantic Web and Ontologies (12 papers), Data Management and Algorithms (7 papers), Logic, Reasoning, and Knowledge (5 papers), Service-Oriented Architecture and Web Services (5 papers), Algorithms and Data Compression (3 papers), Data Quality and Management (3 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Computer Networks and Communications (730 citations), Signal Processing (284 citations), Artificial Intelligence (763 citations), Management Science and Operations Research (184 citations) and Information Systems (198 citations). Alan Nash has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Alin Deutsch, Bertram Ludäscher, Philip A. Bernstein, Sergey Melnik, Georg Gottlob, Victor Vianu, Luc Segoufin, Ronald Fagin, Todd J. Green and Lucian Popa. Their work appears in journals such as ACM Transactions on Database Systems, Journal of the ACM, Theoretical Computer Science, Logical Methods in Computer Science and Canadian Geographies / Géographies canadiennes.

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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