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AI and HR Technologies

AI and HR Technologies is a research topic within Organizational Behavior and Human Resource Management. Science Explorer counts 6.9k research works in it since 1950. 10.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of big data, analytics, and machine learning in human resource management. It covers topics such as employee turnover prediction, talent management, workforce planning, and the use of data-driven decision-making to enhance organizational performance.

  • HR Analytics
  • Big Data
  • Employee Turnover
  • Predictive Analytics
  • Machine Learning
  • Talent Management
  • Workforce Planning
  • Data Mining
  • Performance Management
  • Organizational Performance
Research works
6.9k
fractional, since 1950
In the world top 10%
709
per year above
Top-10% rate
10.3%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+339%
the tick is no change
Largest producer
India
37% of the 10 largest, 2022-now

Which countries lead AI and HR Technologies research?

By volume, India and China publish the most (1.2k and 700 works in 2022-now).

By volume, 2022-now

  1. 1 India 1.2k works
  2. 2 China 700 works
  3. 3 United States 425 works
  4. 4 Indonesia 372 works
  5. 5 Malaysia 112 works
  6. 6 United Kingdom 112 works
  7. 7 Russia 96 works
  8. 8 Pakistan 88 works
  9. 9 Türkiye 75 works
  10. 10 Australia 70 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.

India: 36.7%China: 21.6%United States: 13.1%Indonesia: 11.5%6 others listed: 17.1%37%largest
India1,190 · 36.7%China700 · 21.6%United States425 · 13.1%Indonesia372 · 11.5%6 others listed553 · 17.1%

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

Which institutions lead AI and HR Technologies research?

By volume in 2022-now, Symbiosis International University publishes the most AI and HR Technologies research, followed by SRM Institute of Science and Technology and Saveetha University.

Who are the leading researchers in AI and HR Technologies?

The most-cited researchers publishing on AI and HR Technologies include Yogesh Kumar Dwivedi.

  1. 1 Yogesh Kumar Dwivedi United Kingdom 98k 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 AI and HR Technologies?

The most cited paper in AI and HR Technologies is "Artificial Intelligence in Human Resources Management: Challenges and a Path Forward" (Prasanna B. Tambe, Peter H. Cappelli, Valery Yakubovich, 2019), with 1,530 citations. Next come "Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda" (1,292) and "What can machine learning do? Workforce implications" (1,133).

Most cited papers
#PaperReleasedCitations
1 Artificial Intelligence in Human Resources Management: Challenges and a Path Forward Prasanna B. Tambe, Peter H. Cappelli, Valery Yakubovich · California Management Review Aug 2019 1,530
2 Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda Claudia Loebbecke, Arnold Oskar Picot · The Journal of Strategic Information Systems 22 Aug 2015 1,292
3 What can machine learning do? Workforce implications Erik Brynjolfsson, Tom M. Mitchell · Science 21 Dec 2017 1,133
4 Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review Demetris Vrontis, Michael Christofi, Vijay Edward Pereira et al. · The International Journal of Human Resource Management ReviewOpen access 12 Feb 2021 1,060
5 Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities Patrick Mikalef, John Krogstie, Ilias O. Pappas et al. · Information & Management Open access 29 May 2019 1,058
All 100 most cited papers, with filters and sorting

Where is AI and HR Technologies research done?

The largest centres of AI and HR Technologies research in 2022-now are Chennai (India), Pune (India), Beijing (China) and Bengaluru (India). Among places with at least 20 works in it, it is an unusually large share of all research in Greater Noida, Batam and Pune.

Largest cities, 2022-now

  1. 1 ChennaiIndia 139 works
  2. 2 PuneIndia 92 works
  3. 3 BeijingChina 86 works
  4. 4 BengaluruIndia 86 works
  5. 5 JakartaIndonesia 70 works
  6. 6 BandungIndonesia 47 works
  7. 7 GuangzhouChina 44 works
  8. 8 ShanghaiChina 42 works
  9. 9 WuhanChina 40 works
  10. 10 Dehra DūnIndia 39 works

Where it is the local speciality

  1. Greater NoidaIN · 36.8 works12×
  2. BatamID · 20.6 works11×
  3. PuneIN · 92.2 works9.0×
  4. Dehra DūnIN · 38.7 works8.5×
← less than its size predicts1×more →

Location quotient: how much more of its research is in AI and HR Technologies than the world average.

See AI and HR Technologies on the map

Where is the best place to study AI and HR Technologies?

Among universities, judged by research, Amity University, Symbiosis International University and Lovely Professional 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%10%20%mean 12.79%fractional works in this field (log) →share of work in the world top 10% →Amity UniversityLovely Professional …Saveetha UniversitySymbiosis Internatio…
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
1Amity UniversityIndia 89.920.7%13.3×23 +149.1%
2Symbiosis International UniversityIndia 81.112.9%24.3×33 +571.1%
3Lovely Professional UniversityIndia 71.115.2%9.7×19 +321.6%
4Saveetha UniversityIndia 69.014.1%6.3×24 -
5Christ UniversityIndia 67.514.8%15.1×21 -
6SRM Institute of Science and TechnologyIndia 66.18.8%7.3×30 +1567.8%
7Graphic Era UniversityIndia 59.97.9%14.1×20 +1255.4%
8Universiti Sains MalaysiaMalaysia 57.318.6%3.3×9 -
9Chandigarh UniversityIndia 57.16.8%9.7×22 +1251.8%
10Savitribai Phule Pune UniversityIndia 55.48.1%10.8×18 +727.3%

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 AI and HR Technologies, country by country

Is AI and HR Technologies research growing?

Output in 2022-2025 was 339% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are AI and HR Technologies.

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 AI and HR Technologies as a percentage of every work published that year, 0.017% in 2024.

still counting0.010%0.020%0.030%AI and HR Technologies0.028% in 202519801990200020102020

Fractional works of AI and HR Technologies 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%AI and HR Technologies10.7% in 202520102020

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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