Daniel Fishman

917 citations
21 papers · 504 · h-index 11

Impact in

Papers in

Daniel Fishman

17 papers receiving 432 citations

Peers

Daniel Fishman
Comparison fields: 5 of 45
  • Signal Processing 210
  • Computer Networks and Communications 370
  • Structural Biology 21
  • Artificial Intelligence 256
  • Information Systems 99
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Fishman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Fishman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IRIS: an object-oriented database management system
1989244
2
Semantic Query Optimization in Expert Systems and Database Systems.
198452
3
Overview of the IRIS DBMS
199048
4 201127
5 201221
6 197318
7 201517
8 198415
9 197512
10 198012
11
An Object-Oriented Approach to Data Management.
198611
12 19748
13 20227
14 20215
15
The Q* algorithm: a search strategy for a deductive question-answering system
19733
16
Design and Implementation of the Iris Object Manager.
19872
17 19841
18 20131
19 19840
20 19890

About Daniel Fishman

Daniel Fishman is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Biomedical Engineering and Materials Chemistry, having authored 21 papers that have together received 504 indexed citations. Recurring topics across this work include Logic, programming, and type systems (4 papers), Logic, Reasoning, and Knowledge (3 papers), Optimization and Search Problems (2 papers), Natural Language Processing Techniques (2 papers), Nanowire Synthesis and Applications (2 papers), Advanced Data Storage Technologies (2 papers), Semiconductor materials and devices (2 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). The work is most often cited by research in Signal Processing (210 citations), Computer Networks and Communications (370 citations), Structural Biology (21 citations), Artificial Intelligence (256 citations) and Information Systems (99 citations). Daniel Fishman has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Jack Minker, William Kent, Peter Lyngbæk, Charles G. Hoch, James W. Davis, M.-C. Shan, Nigel Derrett, David Beech, Terrance E. Conners and Upen S. Chakravarthy. Their work appears in journals such as Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, Artificial Intelligence, ACM SIGMOD Record, ACM SIGOPS Operating Systems Review and Journal for Healthcare Quality.

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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