Daniel Fishman

935 citations
22 papers · 641 · h-index 12

Impact in

Papers in

Daniel Fishman

18 papers receiving 556 citations

Peers

Daniel Fishman
Comparison fields: 5 of 45
  • Signal Processing 269
  • Computer Networks and Communications 480
  • Structural Biology 21
  • Artificial Intelligence 349
  • Information Systems 128
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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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IRIS: an object-oriented database management system
1989315
2
Overview of the IRIS DBMS
199063
3
Semantic Query Optimization in Expert Systems and Database Systems.
198461
4 201127
5 201224
6 197323
7
An Object-Oriented Approach to Data Management.
198620
8 198418
9 201517
10 197516
11
Experiments with a resolution-based deductive question-answering system and a proposed clause representation for parallel search.
197314
12 198013
13 19749
14 20227
15 20215
16
The Q* algorithm: a search strategy for a deductive question-answering system
19733
17
Design and Implementation of the Iris Object Manager.
19873
18 19842
19 20131
20 19840

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 22 papers that have together received 641 indexed citations. Recurring topics across this work include Logic, programming, and type systems (4 papers), Natural Language Processing Techniques (3 papers), Logic, Reasoning, and Knowledge (3 papers), Advanced Database Systems and Queries (2 papers), Optimization and Search Problems (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Distributed systems and fault tolerance (2 papers) and Semiconductor materials and devices (2 papers). The work is most often cited by research in Signal Processing (269 citations), Computer Networks and Communications (480 citations), Structural Biology (21 citations), Artificial Intelligence (349 citations) and Information Systems (128 citations). Daniel Fishman has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Jack Minker, William Kent, Peter Lyngbæk, Nigel Derrett, James W. Davis, Charles G. Hoch, M.-C. Shan, David Beech, M.-A. Neimat and Terrance E. Conners. 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, Journal for Healthcare Quality and ACM SIGOPS Operating Systems Review.

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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