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
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
Germany 243 works
- 2
United States 240 works
- 3
India 229 works
- 4
China 112 works
- 5
Indonesia 75 works
- 6
France 49 works
- 7
United Kingdom 47 works
- 8
Romania 34 works
- 9
Poland 33 works
- 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.
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.
By volume, 2022-now
- 1
International and European Law School
France 33 works
- 2
Binus University
Indonesia 16 works
- 3
Film Independent
United States 16 works
- 4
Government of Western Australia
Australia 13 works
- 5
Hochschule Düsseldorf University of Applied Sciences
Germany 13 works
- 6
Bucharest University of Economic Studies
Romania 9 works
- 7
FH Münster
Germany 9 works
- 8
Systems, Applications & Products in Data Processing (Germany)
Germany 7 works
- 9
Manipal Academy of Higher Education
India 7 works
- 10
Babeș-Bolyai University
Romania 7 works
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
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.
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
Issy-les-Moulineaux
France 33 works
- 2
Jakarta
Indonesia 24 works
- 3
New York
United States 23 works
- 4
Pune
India 20 works
- 5
Bengaluru
India 19 works
- 6
Beijing
China 18 works
- 7
Bucharest
Romania 17 works
- 8
Los Angeles
United States 16 works
- 9
Chennai
India 16 works
- 10
Munich
Germany 15 works
Where it is the local speciality
- Issy-les-MoulineauxFR · 32.7 works749×
- PuneIN · 20.4 works5.4×
Location quotient: how much more of its research is in Robotic Process Automation Applications than the world average.
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.
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.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | International and European Law School |
56.3 | 8.6% | 29158.6× | 33 | - |
| 2 | Bucharest University of Economic Studies |
54.7 | 11.7% | 36.6× | 9 | +253.8% |
| 3 | Binus University |
30.1 | 2.3% | 20.1× | 16 | +914.3% |
| 4 | FH Münster |
25.3 | 1.5% | 146.5× | 8 | +628.6% |
| 5 | Hochschule Düsseldorf University of Applied Sciences |
18.9 | 0.1% | 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 countryIs 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.
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.
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.
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.
Discussion
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