Siegfried Macho

1.3k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Siegfried Macho is a scholar working on Artificial Intelligence, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Siegfried Macho has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Social Psychology and 3 papers in Sociology and Political Science. Recurrent topics in Siegfried Macho's work include Cognitive Science and Mapping (4 papers), Attachment and Relationship Dynamics (3 papers) and Family Dynamics and Relationships (3 papers). Siegfried Macho is often cited by papers focused on Cognitive Science and Mapping (4 papers), Attachment and Relationship Dynamics (3 papers) and Family Dynamics and Relationships (3 papers). Siegfried Macho collaborates with scholars based in Switzerland, Germany and United States. Siegfried Macho's co-authors include Thomas Ledermann, David A. Kenny, Helmut Leder, Oswald Huber and Judith M. Burkart and has published in prestigious journals such as Journal of Experimental Psychology Human Perception & Performance, Journal of Experimental Psychology General and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Siegfried Macho

15 papers receiving 995 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Assessing Mediation in Dyadic Data Using the Actor-Partner Interdependence Model

2011 506 citations Thomas Ledermann, Siegfried Macho et al. Structural Equation Modeling A Multidisciplinary Journal profile →

Peers

Countries citing papers authored by Siegfried Macho

Since Specialization

Citations

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

Fields of papers citing papers by Siegfried Macho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siegfried Macho

This figure shows the co-authorship network connecting the top 25 collaborators of Siegfried Macho. A scholar is included among the top collaborators of Siegfried Macho 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 Siegfried Macho. Siegfried Macho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Analyzing change at the dyadic level: The common fate growth model. 2014 ·Journal of Family Psychology ·Thomas Ledermann, Siegfried Macho	32
2	SDT-Models in R: A Documentation of R-Code for Fitting Signal Detection Models 2014 ·Siegfried Macho	1
3	Estimating, testing, and comparing specific effects in structural equation models: The phantom model approach. 2011 ·Psychological Methods ·Siegfried Macho, Thomas Ledermann	332
4	Assessing Mediation in Dyadic Data Using the Actor-Partner Interdependence Model breakdown → 2011 ·Structural Equation Modeling A Multidisciplinary Journal ·Thomas Ledermann, Siegfried Macho, David A. Kenny	506
5	Mediation in dyadic data at the level of the dyads: A structural equation modeling approach. 2009 ·Journal of Family Psychology ·Thomas Ledermann, Siegfried Macho	70
6	Feature sampling in detection: Implications for the measurement of perceptual independence. 2007 ·Journal of Experimental Psychology General ·Siegfried Macho	5
7	Modeling Associative Recognition: A Comparison of Two-High-Threshold, Two-High-Threshold Signal Detection, and Mixture Distribution Models. 2004 ·Journal of Experimental Psychology Learning Memory and Cognition ·Siegfried Macho	12
8	Recursive retrospective revaluation of causal judgments. 2002 ·Journal of Experimental Psychology Learning Memory and Cognition ·Siegfried Macho, Judith M. Burkart	10
9	Cognitive modeling with spreadsheets 2002 ·Behavior Research Methods, Instruments, & Computers ·Siegfried Macho	8
10	Probabilistic set-up and the search for probability information in quasi-naturalistic decision tasks 2001 ·Oswald Huber, Siegfried Macho	21
11	A comparison of log-linear analysis and contrast vector approaches for modeling fundamental causal structures: A comment on von Eye and Brandtstädter (1998). 1999 ·Psychological Methods ·Siegfried Macho	1
12	A comparison of log-linear analysis and contrast vector approaches for modeling fundamental causal structures: A comment on von Eye and Brandtstädter (1998). 1999 ·Psychological Methods ·Siegfried Macho	2
13	Your eyes only? A test of interactive influence in the processing of facial features. 1998 ·Journal of Experimental Psychology Human Perception & Performance ·Siegfried Macho, Helmut Leder	37
14	Effect of relevance shifts in category acquisition: A test of neural networks. 1997 ·Journal of Experimental Psychology Learning Memory and Cognition ·Siegfried Macho	11
15	Effect of relevance shifts in category acquisition: A test of neural networks. 1997 ·Journal of Experimental Psychology Learning Memory and Cognition ·Siegfried Macho	3

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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