Fun With the Scholar Package

A Little Dose of Imposter Syndrome for Your Morning

I saw the scholar package has a new maintainer on Github, so thought I’d do a quick run through of what’s available in the vignette. I was happy to see some updates, I think this is one of those fun but useful packages for people to learn about. Plus, it lets everyone make a little study of their favorite little solipsistic research subjects.

Make sure you have the updated version of scholar.

# install.package("scholar")

library(scholar)

Setup the basic information by changing up the id argument, just visit Google Scholar, click on the “My Profile” link, and copy the last character string from the url (minus everything after the & sign). Paste that to the id object below!

# Define the id for author
id <- 'g9lY5RUAAAAJ'

# Get profile and print name
l <- get_profile(id)
l$name 
## [1] "Ian T. Adams"
# Get his citation history, i.e. citations to his work in a given year 
get_citation_history(id)
##   year cites
## 1 2018     5
## 2 2019    40
## 3 2020    73
## 4 2021     1
# Get his publications (a large data frame)
get_publications(id)
##                                                                                                                                                                           title
## 1                                                                                   Police body-worn cameras: Effects on officers’ burnout and perceived organizational support
## 2                                                                                                      Visibility is a trap: The ethics of police body-worn cameras and control
## 3                                                                                  Is emotional labor easier in collectivist or individualist cultures? An east–west comparison
## 4                                                                                               “That’s What the Money’s for”: Alienation and Emotional Labor in Public Service
## 5                                                                                          Police body-worn cameras: development of the perceived intensity of monitoring scale
## 6                                                                             Assessing public perceptions of police use-of-force: Legal reasonableness and community standards
## 7                                                                                                                           Understanding emotional labor at the cultural level
## 8                                The rhetoric of de-policing: Evaluating open-ended survey responses from police officers with machine learning-based structural topic modeling
## 9                                                         It's not depersonalization, It's emotional labor: Examining surface acting and use-of-force with evidence from the US
## 10                                                                                                                                                        Hidden in plain sight
## 11                                                               Hidden in Plain Sight: Contrasting Emotional Labor and Burnout in Civilian and Sworn Law Enforcement Employees
## 12                                                                                                   The Effect of Prosecutorial Actions on Deterrence: A County-Level Analysis
## 13                                                                                      Contrasting Emotional Labor and Burnout in Civilian and Sworn Law Enforcement Personnel
## 14                                                                                                 Emotional Labor in Emergency Dispatch: Gauging Effects of Training Protocols
## 15 Andrew G. Ferguson, The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement (New York, NY: NYU Press, 2017). 272 pp. $28.00 (hardcover), ISBN …
## 16                                                                                                                                                  The Rhetoric of De-Policing
## 17                                                            How Values Shape Program Perceptions: The “Organic Ethos” and Producers’ Assessments of US Organic Policy Impacts
## 18                                                                                  Emotional labour in non-governmental organisations: narrative analysis and theory expansion
## 19                                                                                                                                                                       The UK
## 20                                                                                                               Trending Interconnectedness: The Value of Comparative Analysis
## 21                                                                                             High-Stakes Administrative Discretion: What Drives Body-Worn Camera Activations?
## 22                                                                                                                              International Journal of Law, Crime and Justice
##                                 author
## 1                 I Adams, S Mastracci
## 2                 I Adams, S Mastracci
## 3                 S Mastracci, I Adams
## 4                 S Mastracci, I Adams
## 5                 I Adams, S Mastracci
## 6                SM Mourtgos, IT Adams
## 7               SH Mastracci, IT Adams
## 8                SM Mourtgos, IT Adams
## 9               SH Mastracci, IT Adams
## 10              IT Adams, SH Mastracci
## 11              IT Adams, SH Mastracci
## 12               SM Mourtgos, IT Adams
## 13              IT Adams, SH Mastracci
## 14              SH Mastracci, IT Adams
## 15                            IT Adams
## 16               SM Mourtgos, IT Adams
## 17      DP Carter, SL Mosier, IT Adams
## 18              SH Mastracci, IT Adams
## 19      SH Mastracci, IT Adams, N Kang
## 20              SH Mastracci, IT Adams
## 21 IT Adams, SM Mourtgos, SH Mastracci
## 22              SH Mastracci, IT Adams
##                                                                        journal
## 1                                                             Police quarterly
## 2                                               Administrative Theory & Praxis
## 3                                                  Public Personnel Management
## 4                                               Administrative Theory & Praxis
## 5                                                      Criminal Justice Review
## 6                                                            Justice Quarterly
## 7  The Palgrave Handbook of Global Perspectives on Emotional Labor in Public …
## 8                                                  Journal of Criminal Justice
## 9                              International Journal of Law, Crime and Justice
## 10                        Emotional Labour in Criminal Justice and Criminology
## 11                        Emotional Labour in Criminal Justice and Criminology
## 12                                              Criminal Justice Policy Review
## 13                                          Policing: An International Journal
## 14                                     Annals of Emergency Dispatch & Response
## 15                                                Public Administration Review
## 16                                                                            
## 17                                                   Review of Policy Research
## 18                      International Journal of Work Organisation and Emotion
## 19 The Palgrave Handbook of Global Perspectives on Emotional Labor in Public …
## 20 The Palgrave Handbook of Global Perspectives on Emotional Labor in Public …
## 21                                                Public Administration Review
## 22                                                                            
##             number cites year                  cid        pubid
## 1     22 (1), 5-30    46 2019  8532835669277965898 RHpTSmoSYBkC
## 2  39 (4), 313-328    28 2017 11458448965364077389 ZeXyd9-uunAC
## 3  48 (3), 325-344    16 2019  3113275916335416875 BqipwSGYUEgC
## 4  40 (4), 304-319     9 2018 17350818719678078979 M3NEmzRMIkIC
## 5  44 (3), 386-405     7 2019 17636589692170586414 J_g5lzvAfSwC
## 6  37 (5), 869-899     6 2020  9895552701426227567 g5m5HwL7SMYC
## 7                      4 2019  1546338871969866120 2P1L_qKh6hAC
## 8      64 (C), 1-1     3 2019 12823963095676900727 35N4QoGY0k4C
## 9       61, 100358     1 2020 13462011810362789692 HoB7MX3m0LUC
## 10             185     0 2020                 <NA> yD5IFk8b50cC
## 11         185-195     0 2020                 <NA> dfsIfKJdRG4C
## 12 31 (4), 479-499     0 2020                 <NA> ns9cj8rnVeAC
## 13                     0 2020                 <NA> 3s1wT3WcHBgC
## 14     7 (3), 5-10     0 2020                 <NA> zA6iFVUQeVQC
## 15 79 (5), 791-793     0 2019                 <NA> lSLTfruPkqcC
## 16                     0 2019                 <NA> pqnbT2bcN3wC
## 17 36 (3), 296-317     0 2019                 <NA> RGFaLdJalmkC
## 18    10 (1), 1-18     0 2019                 <NA> u_35RYKgDlwC
## 19                     0 2019                 <NA> M05iB0D1s5AC
## 20                     0 2019                 <NA> ldfaerwXgEUC
## 21                     0   NA                 <NA> a0OBvERweLwC
## 22                     0   NA                 <NA> 4OULZ7Gr8RgC
# Get number of articles
get_num_articles(id)
## [1] 22
# Number of different journals published in
get_num_distinct_journals(id)
## [1] 16
# Retrieve year of oldest publication
get_oldest_article(id)
## [1] 2017
# Number of publications in "top" journals
get_num_top_journals(id)
## [1] 0

Need a little dose of imposter syndrome today? Dr. Hawking had 497 citations in his first career year. You can compare scholars based on their id.

# Compare yourself and Stephen Hawking
ids <- c('g9lY5RUAAAAJ', 'qj74uXkAAAAJ') 

# Get a data frame comparing the number of citations to their work in
# a given year 
compare_scholars(ids)
##              id year cites total            name
## 1  g9lY5RUAAAAJ 2017    28    28    Ian T. Adams
## 2  g9lY5RUAAAAJ 2018     9    37    Ian T. Adams
## 3  g9lY5RUAAAAJ 2019    76   113    Ian T. Adams
## 4  g9lY5RUAAAAJ 2020     7   120    Ian T. Adams
## 5  g9lY5RUAAAAJ   NA     0   120    Ian T. Adams
## 6  qj74uXkAAAAJ 1970  1991  1991 Stephen Hawking
## 7  qj74uXkAAAAJ 1971  1182  3173 Stephen Hawking
## 8  qj74uXkAAAAJ 1972  1393  4566 Stephen Hawking
## 9  qj74uXkAAAAJ 1973 16927 21493 Stephen Hawking
## 10 qj74uXkAAAAJ 1974  6809 28302 Stephen Hawking
## 11 qj74uXkAAAAJ 1976  6502 34804 Stephen Hawking
## 12 qj74uXkAAAAJ 1977  4804 39608 Stephen Hawking
## 13 qj74uXkAAAAJ 1982  2299 41907 Stephen Hawking
## 14 qj74uXkAAAAJ 1983  9915 51822 Stephen Hawking
## 15 qj74uXkAAAAJ 2009  7949 59771 Stephen Hawking
## 16 qj74uXkAAAAJ 2010  3538 63309 Stephen Hawking
# Compare their career trajectories, based on year of first citation
compare_scholar_careers(ids)
##              id year cites career_year            name
## 1  g9lY5RUAAAAJ 2018     5           0    Ian T. Adams
## 2  g9lY5RUAAAAJ 2019    40           1    Ian T. Adams
## 3  g9lY5RUAAAAJ 2020    73           2    Ian T. Adams
## 4  g9lY5RUAAAAJ 2021     1           3    Ian T. Adams
## 5  qj74uXkAAAAJ 1982   497           0 Stephen Hawking
## 6  qj74uXkAAAAJ 1983   608           1 Stephen Hawking
## 7  qj74uXkAAAAJ 1984   803           2 Stephen Hawking
## 8  qj74uXkAAAAJ 1985   837           3 Stephen Hawking
## 9  qj74uXkAAAAJ 1986   953           4 Stephen Hawking
## 10 qj74uXkAAAAJ 1987   836           5 Stephen Hawking
## 11 qj74uXkAAAAJ 1988   872           6 Stephen Hawking
## 12 qj74uXkAAAAJ 1989  1205           7 Stephen Hawking
## 13 qj74uXkAAAAJ 1990  1145           8 Stephen Hawking
## 14 qj74uXkAAAAJ 1991  1228           9 Stephen Hawking
## 15 qj74uXkAAAAJ 1992  1290          10 Stephen Hawking
## 16 qj74uXkAAAAJ 1993  1612          11 Stephen Hawking
## 17 qj74uXkAAAAJ 1994  1667          12 Stephen Hawking
## 18 qj74uXkAAAAJ 1995  1708          13 Stephen Hawking
## 19 qj74uXkAAAAJ 1996  1764          14 Stephen Hawking
## 20 qj74uXkAAAAJ 1997  1645          15 Stephen Hawking
## 21 qj74uXkAAAAJ 1998  2135          16 Stephen Hawking
## 22 qj74uXkAAAAJ 1999  2160          17 Stephen Hawking
## 23 qj74uXkAAAAJ 2000  2113          18 Stephen Hawking
## 24 qj74uXkAAAAJ 2001  2118          19 Stephen Hawking
## 25 qj74uXkAAAAJ 2002  2386          20 Stephen Hawking
## 26 qj74uXkAAAAJ 2003  2446          21 Stephen Hawking
## 27 qj74uXkAAAAJ 2004  2491          22 Stephen Hawking
## 28 qj74uXkAAAAJ 2005  2751          23 Stephen Hawking
## 29 qj74uXkAAAAJ 2006  2877          24 Stephen Hawking
## 30 qj74uXkAAAAJ 2007  3221          25 Stephen Hawking
## 31 qj74uXkAAAAJ 2008  3444          26 Stephen Hawking
## 32 qj74uXkAAAAJ 2009  3539          27 Stephen Hawking
## 33 qj74uXkAAAAJ 2010  3590          28 Stephen Hawking
## 34 qj74uXkAAAAJ 2011  4096          29 Stephen Hawking
## 35 qj74uXkAAAAJ 2012  4067          30 Stephen Hawking
## 36 qj74uXkAAAAJ 2013  4144          31 Stephen Hawking
## 37 qj74uXkAAAAJ 2014  4627          32 Stephen Hawking
## 38 qj74uXkAAAAJ 2015  4394          33 Stephen Hawking
## 39 qj74uXkAAAAJ 2016  4611          34 Stephen Hawking
## 40 qj74uXkAAAAJ 2017  5023          35 Stephen Hawking
## 41 qj74uXkAAAAJ 2018  5530          36 Stephen Hawking
## 42 qj74uXkAAAAJ 2019  5812          37 Stephen Hawking
## 43 qj74uXkAAAAJ 2020  6206          38 Stephen Hawking
## 44 qj74uXkAAAAJ 2021    96          39 Stephen Hawking

Want to feel bad about yourself (part 2)? Use the prediction algorithm from Acuna et al. to see where you’ll be when you finally land that adjunct position!

## Predict h-index of original method author, Daniel Acuna
id <- 'g9lY5RUAAAAJ'
predict <- predict_h_index(id)

plot(predict)

Ian T. Adams
Ian T. Adams
Ph.D. Candidate and Instructor

My research interests include public workplace surveillance, policing, and emotional labor.

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