Adam Zagorecki

25 papers receiving 576 citations

Peers

Adam Zagorecki
Comparison fields: 5 of 100
  • Emergency Medical Services 55
  • Communication 61
  • Management Science and Operations Research 86
  • Organizational Behavior and Human Resource Management 64
  • Statistics, Probability and Uncertainty 44
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Raj Prasanna New Zealand
Kirsi Virrantaus Finland
John R. Harrald United States
Frank Fiedrich Germany
Fritz Gehbauer Germany
Henrik Hassel Sweden
Giampiero E. G. Beroggi Netherlands
Michael Chumer United States
Robin L. Dillon United States
Jozef Ristvej Slovakia
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Citations per year

Countries citing papers authored by Adam Zagorecki

Since Specialization
Citations

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

Fields of papers citing papers by Adam Zagorecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Adam Zagorecki, 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 Adam Zagorecki Line = papers co-authored together Adam Zagorecki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004250
2 2004110
3 201343
4
An Empirical Study of Probability Elicitation Under Noisy-OR Assumption.
200437
5 200928
6 201521
7 201118
8 201517
9 20119
10
Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
20069
11 20159
12 20148
13 20108
14 20128
15
Modeling Fragility in Rapidly Evolving Disaster Response Systems
20037
16
Local probability distributions in bayesian networks: knowledge elicitation and inference
20107
17 20127
18 20135
19 20204
20
An approximation of surprise index as a measure of confidence
20153

About Adam Zagorecki

Adam Zagorecki is a scholar working on Artificial Intelligence, Sociology and Political Science, Signal Processing, Management Science and Operations Research and Information Systems, having authored 26 papers that have together received 616 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Disaster Management and Resilience (5 papers), Data Management and Algorithms (4 papers), Data Quality and Management (3 papers), Infrastructure Resilience and Vulnerability Analysis (2 papers), Rough Sets and Fuzzy Logic (2 papers), Complex Network Analysis Techniques (2 papers) and Complex Systems and Decision Making (2 papers). The work is most often cited by research in Emergency Medical Services (55 citations), Communication (61 citations), Management Science and Operations Research (86 citations), Organizational Behavior and Human Resource Management (64 citations) and Statistics, Probability and Uncertainty (44 citations). Adam Zagorecki has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Louise K. Comfort, Kilkon Ko, David E. Johnson, Jozef Ristvej, Marek J. Drużdżel, Mark G. Dunn, Ken R. McNaught, Tomáš Loveček and David Johnson. Their work appears in journals such as International Journal of Emergency Management, Journal of Homeland Security and Emergency Management, IEEE Transactions on Systems Man and Cybernetics Systems, American Behavioral Scientist and International Journal of Approximate Reasoning.

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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