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Robotic Process Automation Applications

Robotic Process Automation Applications is a research topic within Industrial and Manufacturing Engineering. Science Explorer counts 2.4k research works in it since 1958. 10.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the implementation, challenges, and impact of Robotic Process Automation (RPA) in various industries and business processes. It explores the intersection of RPA with artificial intelligence, digital transformation, and Industry 4.0, particularly in the context of audit, accounting, and strategic transformation. The papers also discuss the potential benefits and obstacles of RPA implementation.

  • Robotic Process Automation
  • Automation
  • Artificial Intelligence
  • Business Process
  • Digital Transformation
  • Industry 4.0
  • Audit
  • Accounting
  • Implementation
  • Challenges
Research works
2.4k
fractional, since 1958
In the world top 10%
244
per year above
Top-10% rate
10.2%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+200%
the tick is no change
Largest producer
Germany
22% of the 10 largest, 2022-now
Robotic Process Automation Applications

Which countries lead Robotic Process Automation Applications research?

By volume, Germany and the United States publish the most (243 and 240 works in 2022-now).

By volume, 2022-now

  1. 1 Germany 243 works
  2. 2 United States 240 works
  3. 3 India 229 works
  4. 4 China 112 works
  5. 5 Indonesia 75 works
  6. 6 France 49 works
  7. 7 United Kingdom 47 works
  8. 8 Romania 34 works
  9. 9 Poland 33 works
  10. 10 Türkiye 31 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

Germany: 22.2%United States: 21.9%India: 21.0%China: 10.3%6 others listed: 24.6%22%largest
Germany243 · 22.2%United States240 · 21.9%India229 · 21.0%China112 · 10.3%6 others listed269 · 24.6%

Shares of the rows listed above, not of the whole node.

Which institutions lead Robotic Process Automation Applications research?

By volume in 2022-now, International and European Law School publishes the most Robotic Process Automation Applications research, followed by Binus University and Film Independent.

Who are the leading researchers in Robotic Process Automation Applications?

The most-cited researchers publishing on Robotic Process Automation Applications include Wil M. P. van der Aalst.

  1. 1 Wil M. P. van der Aalst Netherlands 97k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Robotic Process Automation Applications?

The most cited paper in Robotic Process Automation Applications is "Why Are There Still So Many Jobs? The History and Future of Workplace Automation" (David Autor, 2015), with 3,836 citations. Next come "Robotic Process Automation" (681) and "Robotic Process Automation: Contemporary themes and challenges" (559).

Most cited papers
#PaperReleasedCitations
1 Why Are There Still So Many Jobs? The History and Future of Workplace Automation David Autor · The Journal of Economic Perspectives Open access 30 Jul 2015 3,836
2 Robotic Process Automation Wil M. P. van der Aalst, Martin Bichler, Armin Heinzl · Business & Information Systems Engineering Open access 14 May 2018 681
3 Robotic Process Automation: Contemporary themes and challenges Rehan Syed, Suriadi Suriadi, Michael Adams et al. · Computers in Industry Open access 19 Dec 2019 559
4 Robotic Process Automation and Artificial Intelligence in Industry 4.0 – A Literature review Jorge Ribeiro, Rui Lima, Tiago Eckhardt et al. · Procedia Computer Science Conference paperOpen access 2021 485
5 Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study Santiago Aguirre, Alejandro Rodríguez · Communications in computer and information science Conference paper 2017 441
All 100 most cited papers, with filters and sorting

Where is Robotic Process Automation Applications research done?

The largest centres of Robotic Process Automation Applications research in 2022-now are Issy-les-Moulineaux (France), Jakarta (Indonesia), New York (United States) and Pune (India). Among places with at least 20 works in it, it is an unusually large share of all research in Issy-les-Moulineaux and Pune.

Largest cities, 2022-now

  1. 1 Issy-les-MoulineauxFrance 33 works
  2. 2 JakartaIndonesia 24 works
  3. 3 New YorkUnited States 23 works
  4. 4 PuneIndia 20 works
  5. 5 BengaluruIndia 19 works
  6. 6 BeijingChina 18 works
  7. 7 BucharestRomania 17 works
  8. 8 Los AngelesUnited States 16 works
  9. 9 ChennaiIndia 16 works
  10. 10 MunichGermany 15 works

Where it is the local speciality

  1. Issy-les-MoulineauxFR · 32.7 works749×
  2. PuneIN · 20.4 works5.4×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Robotic Process Automation Applications than the world average.

See Robotic Process Automation Applications on the map

Where is the best place to study Robotic Process Automation Applications?

Among universities, judged by research, International and European Law School, Bucharest University of Economic Studies and Binus University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%5%10%mean 4.84%fractional works in this field (log) →share of work in the world top 10% →Bucharest University…International and Eu…Binus UniversityFH Münster
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1International and European Law SchoolFrance 56.38.6%29158.6×33 -
2Bucharest University of Economic StudiesRomania 54.711.7%36.6×9 +253.8%
3Binus UniversityIndonesia 30.12.3%20.1×16 +914.3%
4FH MünsterGermany 25.31.5%146.5×8 +628.6%
5Hochschule Düsseldorf University of Applied SciencesGermany 18.90.1%195.6×13 +68.2%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Robotic Process Automation Applications, country by country

Is Robotic Process Automation Applications research growing?

Output in 2022-2025 was 200% higher than in 2018-2021, peaking in 2026. The fastest-growing topics are Robotic Process Automation Applications.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Robotic Process Automation Applications as a percentage of every work published that year, 0.0041% in 2024.

still counting0.0050%0.010%Robotic Process Automation Applications0.0091% in 202519801990200020102020

Fractional works of Robotic Process Automation Applications over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Robotic Process Automation Applications10.1% in 20252020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

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