Eva M. Díaz

930 total citations · 1 hit paper
6 papers, 631 citations indexed

About

Eva M. Díaz is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Biomedical Engineering. According to data from OpenAlex, Eva M. Díaz has authored 6 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Ecology, Evolution, Behavior and Systematics, 3 papers in Plant Science and 2 papers in Biomedical Engineering. Recurrent topics in Eva M. Díaz's work include Biocrusts and Microbial Ecology (2 papers), Lichen and fungal ecology (2 papers) and Obesity, Physical Activity, Diet (1 paper). Eva M. Díaz is often cited by papers focused on Biocrusts and Microbial Ecology (2 papers), Lichen and fungal ecology (2 papers) and Obesity, Physical Activity, Diet (1 paper). Eva M. Díaz collaborates with scholars based in Spain, United States and India. Eva M. Díaz's co-authors include Susana Rubio-Valdehita, Jesús Antonio Martínez Martín, Miguel Vicente‐Manzanares, Marı́a-Estrella Legaz, Carlos Vicente and June J. Pilcher and has published in prestigious journals such as Frontiers in Psychology, Applied Psychology and Plant Signaling & Behavior.

In The Last Decade

Eva M. Díaz

6 papers receiving 591 citations

Hit Papers

align trajectories

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.

Evaluation of Subjective Mental Workload: A Comparison of SWAT, NASA‐TLX, and Workload Profile Methods

2003 596 citations Susana Rubio-Valdehita, Eva M. Díaz et al. Applied Psychology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eva M. Díaz Spain	3	350	113	88	84	70	6	631
Jesús Antonio Martínez Martín Spain	4	351 1.0×	113 1.0×	98 1.1×	84 1.0×	72 1.0×	20	638
Susan G. Hill United States	12	615 1.8×	138 1.2×	120 1.4×	69 0.8×	87 1.2×	39	930
Rebecca Charles United Kingdom	5	300 0.9×	71 0.6×	107 1.2×	75 0.9×	41 0.6×	16	490
Pamela S. Tsang United States	14	496 1.4×	102 0.9×	175 2.0×	105 1.3×	51 0.7×	35	736
James C. Byers United States	8	428 1.2×	141 1.2×	84 1.0×	58 0.7×	56 0.8×	16	631
Julian Abich United States	8	233 0.7×	59 0.5×	107 1.2×	52 0.6×	102 1.5×	15	419
Michael A. Vidulich United States	16	714 2.0×	116 1.0×	271 3.1×	126 1.5×	96 1.4×	63	1.0k
Maryam Zahabi United States	16	408 1.2×	52 0.5×	138 1.6×	54 0.6×	153 2.2×	75	932
José Antonio Diego-Más Spain	16	358 1.0×	73 0.6×	60 0.7×	93 1.1×	93 1.3×	36	838
Gabriella M. Hancock United States	11	259 0.7×	47 0.4×	129 1.5×	85 1.0×	26 0.4×	39	486

Countries citing papers authored by Eva M. Díaz

Since Specialization

Citations

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

Fields of papers citing papers by Eva M. Díaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva M. Díaz. 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 Eva M. Díaz. The network helps show where Eva M. Díaz may publish in the future.

Co-authorship network of co-authors of Eva M. Díaz

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

All Works

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6 of 6 papers shown

1.

Pilcher, June J., et al.. (2022). Activity Workstations in High Schools: Decreasing Sedentary Behavior Without Negatively Impacting Schoolwork. Frontiers in Psychology. 13. 929564–929564. 1 indexed citations

2.

Díaz, Eva M., et al.. (2018). Effects of Concanavalin a on the Germination of Smut Teliospores and on the Hyphal Growth. International Journal of Pharma and Bio Sciences. 9(1). 1 indexed citations

3.

Díaz, Eva M., et al.. (2016). Direct and cross-recognition of lichenized Trebouxia Puymaly (Chlorophyta, Trebouxiophyceae) and Nostoc Vaucher ex Bornet (Cyanobacteria, Cyanophyceae) by their homologous and heterologous fungal lectins. Revista Brasileira de Botânica. 39(2). 507–518. 1 indexed citations

4.

Díaz, Eva M., et al.. (2015). The role of lichenized algae in the production of Cladonia verticillaris depsidones, revealed by using alginate-immobilized cells. Biotechnology : an Indian journal. 12(3). 2 indexed citations

5.

Díaz, Eva M., et al.. (2011). Fungal lectin of Peltigera canina induces chemotropism of compatible Nostoc cells by constriction-relaxation pulses of cyanobiont cytoskeleton. Plant Signaling & Behavior. 6(10). 1525–1536. 30 indexed citations

6.

Rubio-Valdehita, Susana, et al.. (2003). Evaluation of Subjective Mental Workload: A Comparison of SWAT, NASA‐TLX, and Workload Profile Methods. Applied Psychology. 53(1). 61–86. 596 indexed citations breakdown →

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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