README.rmd

---
output: 
  github_document:
    toc: false
    fig_width: 10.08
    fig_height: 6
tags: [r, reports]
vignette: >
  \usepackage[utf8]{inputenc}
  %\VignetteEngine{knitr::rmarkdown}
editor_options: 
  chunk_output_type: console
---


```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  tidy.opts = list(width.cutoff = 80),
  tidy = TRUE,
  fig.path = "img/",
  fig.width = 10,
  comment = "#>",
  dpi = 300
)
options(knitr.kable.NA = '', digits = 2, width = 80)

library(dplyr)
library(ggplot2)
```

# My CV


- My CV can be downloaded [**from here**](https://dominiquemakowski.github.io/CV/).
- More information can be found on [**my website**](https://dominiquemakowski.github.io).

[![](img/preview.png)](https://dominiquemakowski.github.io/CV/)

## Steps

The steps to pull the data from Google scholar and render the CV are the following:

```{r eval=FALSE}
# 1. Update scientific impact data
source("make_data_impact.R")

# 4. Render CV (and CV-data)
rmarkdown::render('DominiqueMakowski_CV.Rmd')
```

## Research Wordcloud


<figure>
  <img src="https://raw.githubusercontent.com/DominiqueMakowski/CV/main/img/wordcloud.png"/>
  <figcaption>My research wordcloud, generated from the most frequent words present in my publications.</figcaption>
</figure>


## Impact 

```{r scientificImpact, echo = FALSE, fig.height=6, fig.width=10, fig.align="center"}
load("data/data_scholar.Rdata")

source("functions.R")

plot_impact(data_scholar)
```


## Collaboration Network

The data is retrieved from the Google Scholar co-author list (that one must update ***manually*** on its scholar profile by clicking the `+` button and accept the suggestions), thus not 100% accurate (e.g., co-authors without a scholar profile are not listed).

<figure>
  <img src="https://raw.githubusercontent.com/DominiqueMakowski/CV/main/img/collaboration_network.png"/>
  <figcaption>My coauthors network, based on Google Scholar data.</figcaption>
</figure>