Shimon Schocken

22 papers receiving 275 citations

Peers

Shimon Schocken
Comparison fields: 5 of 97
  • Artificial Intelligence 166
  • Management Science and Operations Research 40
  • Control and Systems Engineering 36
  • Electrical and Electronic Engineering 35
  • Information Systems 28
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Countries citing papers authored by Shimon Schocken

Since Specialization
Citations

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

Fields of papers citing papers by Shimon Schocken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shimon Schocken

This figure shows the co-authorship network connecting the top 25 collaborators of Shimon Schocken. A scholar is included among the top collaborators of Shimon Schocken based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shimon Schocken. Shimon Schocken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3
Mobile Learning and Early Age Mathematics
3
4 6
5 2
6
Ratio-Scale Elicitation of Degrees of Support
1
7
Hardware Description Language (HDL)
1
8 1
9
The Elements of Computing Systems: Building a Modern Computer from First Principles
29
10 5
11 0
12 44
13
COMPROMISE REACHING MECHANISMS IN MULTI-GROUP/MULTI-PLAYER NEGOTIATION PROCESSES
1
14 183
15 7
16
MULTILAYER FEEDFORWARD NETWORKS WITH NON-POLYNOMIAL ACTIVATION FUNCTIONS CAN APPROXIMATE ANY FUNCTION
2
17
A dempster-shafer model for indexing and browsing bibliographical database system
0
18
PANEL 16 BUSINESS APPLICATIONS OF NEURAL NETWORKS: PROBLEMS AND OPPORTUNITIES
1
19
PROLOG META-INTERPRETERS FOR RULE-BASED INFERENCE UNDER UNCERTAINTY
0
20
On the Rational Scope of Probabilistic Rule-Based Inference Systems
0

About Shimon Schocken

Shimon Schocken is a scholar working on Computer Science Applications, Media Technology and Artificial Intelligence, having authored 28 papers that have together received 303 indexed citations. Recurring topics across this work include Teaching and Learning Programming (7 papers), Bayesian Modeling and Causal Inference (6 papers) and AI-based Problem Solving and Planning (5 papers). The work is most often cited by research in Artificial Intelligence (166 citations), Computer Science Applications (27 citations) and Management Science and Operations Research (40 citations). Shimon Schocken has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Moshe Leshno, Allan Pinkus, Gad Ariav, Noam Nisan, Christopher Jones, Michal Armoni, John Impagliazzo, Robert A. Hummel, Raymond Lister and Orit Hazzan. Their work appears in journals such as Information Systems Research, Neural Networks and Decision Support 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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