AI and business management: Tracking future research agenda through bibliometric network analysis.

Ashok Kumar Patra, Ashyashree Praharaj, Desul Sudarshan, Biswajit Prasad Chhatoi

Abstract readReview

In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

AI classification of knee prostheses from plain radiographs and real-world applications.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ashok Kumar PatraDepartment of Business Administration, Berhampur University, India.

Ashyashree PraharajDepartment of Business Administration, Berhampur University, India.

Desul SudarshanDepartment of Library Science, Berhampur University, India.

Biswajit Prasad ChhatoiDepartment of Business Administration, Berhampur University, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study has been designed to analyse the academic landscape of AI on the Scopus and Web of Science (WOS) indices and compare the findings. AI is one of the most prominent and preferred research areas, only a few studies are dedicated to the bibliometric aspect of it. There is a need to compare studies on AI over different databases to identify the impact and usefulness of those studies in decision-making in business management. To conduct this analysis, the authors have collected data from both Scopus and WOS. 'VOSviewer', 'R-Studio', and 'MS Excel' software have been used for performance analysis and science mapping. This is one of the exceptional studies which perform a comparative analysis between two indices and also identifies funding sponsors for support of research in AI. "

Indexed as

Artificial intelligenceBibliometric analysisManagerial decision makingR-StudioVOSviewer

Identifiers

PMID38230239

DOI10.1016/j.heliyon.2023.e23902

PMCPMC10789597

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.