Rumen Manolov

2.4k total citations
80 papers, 1.2k citations indexed

About

Rumen Manolov is a scholar working on Developmental and Educational Psychology, Management Science and Operations Research and Cognitive Neuroscience. According to data from OpenAlex, Rumen Manolov has authored 80 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Developmental and Educational Psychology, 27 papers in Management Science and Operations Research and 23 papers in Cognitive Neuroscience. Recurrent topics in Rumen Manolov's work include Behavioral and Psychological Studies (54 papers), Optimal Experimental Design Methods (24 papers) and Autism Spectrum Disorder Research (21 papers). Rumen Manolov is often cited by papers focused on Behavioral and Psychological Studies (54 papers), Optimal Experimental Design Methods (24 papers) and Autism Spectrum Disorder Research (21 papers). Rumen Manolov collaborates with scholars based in Spain, Belgium and United States. Rumen Manolov's co-authors include Antonio Solanas, Mariola Moeyaert, Patrick Onghena, José Luís Losada, René Tanious, Vicenta Sierra, Jonathan J. Evans, David L. Gast, Michael Perdices and Lucien Rochat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Rumen Manolov

76 papers receiving 1.2k citations

Peers

Rumen Manolov

DEP

MSOR

Mariola Moeyaert United States

Rob Horner United States

James E. McLean United States

Martin Arendasy Austria

Johannes Kingma Netherlands

Justin D. Lane United States

Stefan C. Dombrowski United States

Gerardo Prieto Spain

Lies Declercq Belgium

Susana Sanduvete‐Chaves Spain

Mariola Moeyaert United States

Rumen Manolov

1.1k ×1.5

DEP

560 ×1.4

325 ×1.4

357 ×1.7

MSOR

288 ×1.6

Citations per year, relative to Rumen Manolov Rumen Manolov (= 1×) peers Mariola Moeyaert

Countries citing papers authored by Rumen Manolov

Since Specialization

Citations

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

Fields of papers citing papers by Rumen Manolov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rumen Manolov

This figure shows the co-authorship network connecting the top 25 collaborators of Rumen Manolov. A scholar is included among the top collaborators of Rumen Manolov 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 Rumen Manolov. Rumen Manolov 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

Tanious, René & Rumen Manolov. (2025). Visual Analysis of Single-Case Experimental Designs Data: Beyond Time-Series Graphs. 2(1). 43–64.

Manolov, Rumen & Lucien Rochat. (2024). Analyzing data in single-case experimental designs: Objectives and available software options. 34(4). 100511–100511. 1 indexed citations

Rochat, Lucien & Rumen Manolov. (2024). Single-case methodology in cognitive behavior therapy: Promoting good practice within personalized psychotherapy research. 34(3). 100502–100502. 1 indexed citations

Manolov, Rumen & René Tanious. (2024). Assessing Nonoverlap in Single-Case Data: Strengths, Challenges, and Recommendations. Journal of Behavioral Education. 34(4). 869–901. 4 indexed citations

Castellví, Pere, Andrea Miranda-Mendizábal, Esther Calbo, et al.. (2023). Physical and mental health impact of the COVID-19 pandemic at first year in a Spanish adult cohort. Scientific Reports. 13(1). 4547–4547. 5 indexed citations

Martini, Rose, et al.. (2023). Cognitive Orientation to daily Occupational Performance to improve occupational performance goals for children with executive function deficits after acquired brain injury. Developmental Medicine & Child Neurology. 66(4). 501–513. 8 indexed citations

Manolov, Rumen & René Tanious. (2023). Type I error rates and power of two randomization test procedures for the changing criterion design. Behavior Research Methods. 56(4). 3637–3657.

Manolov, Rumen. (2023). Does the choice of a linear trend-assessment technique matter in the context of single-case data?. Behavior Research Methods. 55(8). 4200–4221. 5 indexed citations

Manolov, Rumen, Patrick Onghena, & Wim Van Den Noortgate. (2022). Meta-analysis of single-case experimental designs: How can alternating treatments and changing criterion designs be included?. Evidence-Based Communication Assessment and Intervention. 17(1). 31–58. 4 indexed citations

10.

Miranda-Mendizábal, Andrea, Esther Calbo, Marc Casajuana‐Closas, et al.. (2021). Socio-economic and psychological impact of COVID-19 pandemic in a Spanish cohort BIOVAL-D-COVID-19 study protocol. Gaceta Sanitaria. 36(1). 70–73. 8 indexed citations

11.

Manolov, Rumen & Patrick Onghena. (2017). Analyzing data from single-case alternating treatments designs.. Psychological Methods. 23(3). 480–504. 39 indexed citations

12.

Manolov, Rumen, Matthew Jamieson, Jonathan J. Evans, & Vicenta Sierra. (2016). A discussion of alternatives for establishing empirical benchmarks for interpreting single-case effect sizes. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 37(2). 209–234. 6 indexed citations

13.

Manolov, Rumen & Antonio Solanas. (2016). Quantifying differences between conditions in single-case designs: Possible analysis and meta-analysis. Developmental Neurorehabilitation. 21(4). 238–252. 2 indexed citations

14.

Manolov, Rumen, José Luís Losada, Salvador Chacón Moscoso, & Susana Sanduvete‐Chaves. (2016). Analyzing Two-Phase Single-Case Data with Non-overlap and Mean Difference Indices: Illustration, Software Tools, and Alternatives. Frontiers in Psychology. 7. 32–32. 46 indexed citations

15.

Solanas, Antonio, et al.. (2013). A measure of group dissimilarity for psychological attributes. Redalyc (Universidad Autónoma del Estado de México). 34(2). 343–364. 1 indexed citations

16.

Manolov, Rumen & Antonio Solanas. (2013). A comparison of mean phase difference and generalized least squares for analyzing single-case data. Journal of School Psychology. 51(2). 201–215. 49 indexed citations

17.

Manolov, Rumen & Antonio Solanas. (2013). Assigning and combining probabilities in single-case studies: A second study. Behavior Research Methods. 45(4). 1024–1035. 2 indexed citations

18.

Manolov, Rumen, Antonio Solanas, Vicenta Sierra, & Jonathan J. Evans. (2011). Choosing Among Techniques for Quantifying Single-Case Intervention Effectiveness. Behavior Therapy. 42(3). 533–545. 34 indexed citations

19.

Solanas, Antonio, Rumen Manolov, & Vicenta Sierra. (2010). Lag-one autocorrelation in short series: Estimation and hypotheses testing. SHILAP Revista de lepidopterología. 26 indexed citations

20.

Manolov, Rumen, Antonio Solanas, & David Leiva. (2010). Comparing “Visual” Effect Size Indices for Single-Case Designs. Methodology. 6(2). 49–58. 23 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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