Adam Zagorecki

953 citations
26 papers · 612 indexed · h-index 10
Topics
Bayesian Modeling and Causal Inference (9 papers)Disaster Management and Resilience (5 papers)Data Management and Algorithms (4 papers)

In The Last Decade

Adam Zagorecki

25 papers receiving 570 citations

Peers

Adam Zagorecki
Comparison fields: 5 of 103
  • Sociology and Political Science 260
  • Artificial Intelligence 103
  • Management Science and Operations Research 86
  • Civil and Structural Engineering 78
  • Organizational Behavior and Human Resource Management 63
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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-authorship network of co-authors of Adam Zagorecki

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Zagorecki. A scholar is included among the top collaborators of Adam Zagorecki 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 Adam Zagorecki. Adam Zagorecki 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 2
2 1
3 4
4
An approximation of surprise index as a measure of confidence
3
5 0
6 21
7 17
8 8
9 1
10 5
11 7
12 9
13
Local probability distributions in bayesian networks: knowledge elicitation and inference
7
14 8
15 28
16
Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
9
17
Probabilistic Independence of Causal Influences.
1
18
An Empirical Study of Probability Elicitation Under Noisy-OR Assumption.
37
19 248
20
Modeling Fragility in Rapidly Evolving Disaster Response Systems
7

About Adam Zagorecki

Adam Zagorecki is a scholar working on Signal Processing, Management Science and Operations Research and Artificial Intelligence, having authored 26 papers that have together received 612 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Disaster Management and Resilience (5 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Communication (61 citations), Emergency Medical Services (57 citations) and Management Science and Operations Research (86 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 SHILAP Revista de lepidopterología, IEEE Transactions on Systems Man and Cybernetics Systems and American Behavioral Scientist.

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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