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‘GenAI’ Literature Search Tools and Scholarly Diversity: An Algorithmic Ethnographical Analysis Cover

‘GenAI’ Literature Search Tools and Scholarly Diversity: An Algorithmic Ethnographical Analysis

Open Access
|Jun 2026

Figures & Tables

Table 1

Platforms included in the sample for searches.

‘TRADITIONAL’ DATABASES‘GENAI’ TOOLS
Academic Search UltimateConsensus
ERICElicit
Google ScholarResearch Rabbit
ScopusScopus AI
Web of ScienceSemantic Scholar
Figure 1

Number of female first authors in the first 20 papers returned from each platform included in the sample. Colour of dots denotes the search term, and green dots show the mean average for each platform. Note that in instances where fewer than five data points are shown, this is due to overlapped data points of the same value – please refer to the colour coding.

Figure 2

Number of countries represented by first authors in the first 20 papers returned from each platform included in the sample. Colour of dots denotes the search term, and green dots show the mean average for each platform. Note that in instances where fewer than five data points are shown, this is due to overlapped data points of the same value – please refer to the colour coding.

Table 2

Number of papers in the first 20 results per query, per platform, with first authors based in Global Majority countries.

PLATFORMBREAKOUT ROOMSMICROCREDENTIALSLEARNING MANAGEMENT SYSTEMS IN HIGHER EDUCATIONCITIZEN SCIENCETOTAL
Academic Search Ultimate4112228
ERIC4417327
Google Scholar9315023
Scopus6113318
Web of Science5012119
Total115
Consensus9011121
Elicit6414024
Research Rabbit9213125
Scopus AI6513327
Semantic Scholar9316129
Total126
Figure 3

Distribution of publication date (year) for the first 20 papers returned from each platform included in the sample, colour coded according to search topic.

Figure 4

Number of papers in the first 20 papers returned from each platform included in the sample which are published in journals indexed by Web of Science. Colour of dots denotes the search term, and green dots show the mean average for each platform. Note that in instances where fewer than five data points are shown, this is due to overlapped data points of the same value – please refer to the colour coding.

Figure 5

Citation counts according to Google Scholar for the first 20 papers returned from each platform included in the sample on the topic of breakout rooms. Three outliers – articles with citations >300 – are not shown (one each from Academic Search Ultimate, Elicit, and Scopus AI).

Figure 6

Citation counts according to Google Scholar for the first 20 papers returned from each platform included in the sample on the topic of citizen science.

Figure 7

Citation counts according to Google Scholar for the first 20 papers returned from each platform included in the sample on the topic of learning management systems in higher education. Three outliers – articles with citations >600 – are not shown (one from Consensus, and two from Scopus AI).

Figure 8

Citation counts according to Google Scholar for the first 20 papers returned from each platform included in the sample on the topic of microcredentials.

Table 3

Ranking by median number of citations for the sampled papers per query.

PLATFORMBREAKOUT ROOMSMICROCREDENTIALSLEARNING MANAGEMENT SYSTEMS IN HIGHER EDUCATIONCITIZEN SCIENCETOTAL
Academic Search Ultimate58.5101033.5
ERIC868931
Google Scholar714113
Scopus133714
Web of Science647825
Consensus451313
Elicit22228
Research Rabbit9.58.554.527.5
Scopus AI379625
Semantic Scholar9.51064.530
Figure 9

Journal impact factors, for papers published in journals which have them (note differing ‘n‘), within the first 20 papers returned from each platform included in the sample on the topic of breakout rooms.

Figure 10

Journal impact factors, for papers published in journals which have them (note differing ‘n‘), within the first 20 papers returned from each platform included in the sample on the topic of citizen science.

Figure 11

Journal impact factors, for papers published in journals which have them (note differing ‘n‘), within the first 20 papers returned from each platform included in the sample on the topic of learning management systems in higher education.

Figure 12

Journal impact factors, for papers published in journals which have them (note differing ‘n’), within the first 20 papers returned from each platform included in the sample on the topic of microcredentials.

Table 4

Ranking by median JIF for the sampled papers per query.

PLATFORMBREAKOUT ROOMSMICROCREDENTIALSLEARNING MANAGEMENT SYSTEMS IN HIGHER EDUCATIONCITIZEN SCIENCETOTAL
Academic Search Ultimate224.5917.5
ERIC23.531018.5
Google Scholar23.58316.4
Scopus5.597728.5
Web of Science97.54.5829
Consensus5.5102623.5
Elicit469423
Research Rabbit9561.521.5
Scopus AI11158
Semantic Scholar97.5101.528
Language: English
Page range: 291 - 309
Submitted on: Jul 31, 2025
Accepted on: Mar 5, 2026
Published on: Jun 2, 2026
Published by: International Council for Open and Distance Education (ICDE)
In partnership with: Paradigm Publishing Services

© 2026 Kathy M. Chandler, Katy Jordan, Ishaq Al-Naabi, Panagiota Tzanni, Leone Gately, published by International Council for Open and Distance Education (ICDE)
This work is licensed under the Creative Commons Attribution 4.0 License.