Mario Fifić

896 total citations
20 papers, 544 citations indexed

About

Mario Fifić is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Mario Fifić has authored 20 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 4 papers in Social Psychology. Recurrent topics in Mario Fifić's work include Neural and Behavioral Psychology Studies (12 papers), Neural dynamics and brain function (3 papers) and Decision-Making and Behavioral Economics (3 papers). Mario Fifić is often cited by papers focused on Neural and Behavioral Psychology Studies (12 papers), Neural dynamics and brain function (3 papers) and Decision-Making and Behavioral Economics (3 papers). Mario Fifić collaborates with scholars based in United States, Germany and Australia. Mario Fifić's co-authors include James T. Townsend, Daniel R. Little, Robert M. Nosofsky, Chris Donkin, Ami Eidels, Cheng Yang, Nicholas Altieri, Gerd Gigerenzer, Haiyuan Yang and Cheng-Ta Yang and has published in prestigious journals such as Psychological Review, Journal of Business Research and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

Mario Fifić

20 papers receiving 527 citations

Peers

Mario Fifić

ECP

DEP

André Aßfalg Germany

Pernille Hemmer United States

Ronaldo Vigo United States

Matt Jones United States

Geoff Hollis Canada

Lee Averell Australia

Lloyd K. Komatsu United States

Lydia Tan United Kingdom

Richard B. Millward United States

Wai-Tat Fu United States

André Aßfalg Germany

Mario Fifić

232 ×0.6

99 ×0.7

ECP

88 ×0.8

72 ×0.8

DEP

84 ×1.0

Citations per year, relative to Mario Fifić Mario Fifić (= 1×) peers André Aßfalg

Countries citing papers authored by Mario Fifić

Since Specialization

Citations

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

Fields of papers citing papers by Mario Fifić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Fifić

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

All Works

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20 of 20 papers shown

Fifić, Mario, et al.. (2020). A new measure of group decision-making efficiency. Cognitive Research Principles and Implications. 5(1). 45–45. 10 indexed citations

Yang, Cheng-Ta, et al.. (2019). An examination of age-related differences in attentional control by systems factorial technology. Journal of Mathematical Psychology. 92. 102280–102280. 14 indexed citations

Fox, Elizabeth, et al.. (2019). Adaptive design for systems factorial technology experiments. Journal of Mathematical Psychology. 92. 102278–102278. 3 indexed citations

Little, Daniel R., et al.. (2018). How Do Information Processing Systems Deal with Conflicting Information? Differential Predictions for Serial, Parallel, and Coactive Models. Computational Brain & Behavior. 1(1). 1–21. 11 indexed citations

Yang, Cheng-Ta, et al.. (2017). Systems Factorial Technology provides new insights on the other-race effect. Psychonomic Bulletin & Review. 25(2). 596–604. 7 indexed citations

Little, Daniel R., Nicholas Altieri, Mario Fifić, & Cheng Yang. (2017). Systems Factorial Technology: A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms. 44 indexed citations

Houpt, Joseph W. & Mario Fifić. (2017). A hierarchical Bayesian approach to distinguishing serial and parallel processing. Journal of Mathematical Psychology. 79. 13–22. 10 indexed citations

Little, Daniel R., et al.. (2015). Understanding the influence of distractors on workload capacity. Journal of Mathematical Psychology. 68-69. 25–36. 30 indexed citations

Fifić, Mario. (2014). Double jeopardy in inferring cognitive processes. Frontiers in Psychology. 5. 1130–1130. 3 indexed citations

10.

Yang, Haiyuan, Mario Fifić, & James T. Townsend. (2014). Reprint of “Survivor interaction contrast wiggle predictions of parallel and serial models for an arbitrary number of processes”. Journal of Mathematical Psychology. 59. 82–94. 12 indexed citations

11.

Fifić, Mario & Gerd Gigerenzer. (2014). Are two interviewers better than one?. Journal of Business Research. 67(8). 1771–1779. 17 indexed citations

12.

Yang, Haiyuan, Mario Fifić, & James T. Townsend. (2013). Survivor interaction contrast wiggle predictions of parallel and serial models for an arbitrary number of processes. Journal of Mathematical Psychology. 58. 21–32. 10 indexed citations

13.

Nosofsky, Robert M., Daniel R. Little, Chris Donkin, & Mario Fifić. (2011). Short-term memory scanning viewed as exemplar-based categorization.. Psychological Review. 118(2). 280–315. 103 indexed citations

14.

Gaissmaier, Wolfgang, Mario Fifić, & Jörg Rieskamp. (2011). Analyzing response times to understand decision processes. Max Planck Institute for Plasma Physics. 141–162. 2 indexed citations

15.

Fifić, Mario & James T. Townsend. (2010). Information-processing alternatives to holistic perception: Identifying the mechanisms of secondary-level holism within a categorization paradigm.. Journal of Experimental Psychology Learning Memory and Cognition. 36(5). 1290–1313. 35 indexed citations

16.

Fifić, Mario, Daniel R. Little, & Robert M. Nosofsky. (2010). Logical-rule models of classification response times: A synthesis of mental-architecture, random-walk, and decision-bound approaches.. Psychological Review. 117(2). 309–348. 83 indexed citations

17.

Fifić, Mario. (2010). EMERGING HOLISTIC PROPERTIES AT FACE VALUE: ASSESSING CHARACTERISTICS OF FACE PERCEPTION. IUScholarWorks (Indiana University). 3 indexed citations

18.

Fifić, Mario, James T. Townsend, & Ami Eidels. (2008). Studying visual search using systems factorial methodology with target-distractor similarity as the factor. Perception & Psychophysics. 70(4). 583–603. 30 indexed citations

19.

Fifić, Mario, Robert M. Nosofsky, & James T. Townsend. (2008). Information-processing architectures in multidimensional classification: A validation test of the systems factorial technology.. Journal of Experimental Psychology Human Perception & Performance. 34(2). 356–375. 61 indexed citations

20.

Townsend, James T. & Mario Fifić. (2004). Parallel versus serial processing and individual differences in high-speed search in human memory. Perception & Psychophysics. 66(6). 953–962. 56 indexed citations

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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