Krishma Labib

453 citations
13 papers · 110 · h-index 7

Impact in

Papers in

Krishma Labib

11 papers receiving 107 citations

Peers

Krishma Labib
Comparison fields: 5 of 30
  • Health Informatics 32
  • Safety Research 63
  • Information Systems and Management 18
  • Public Health, Environmental and Occupational Health 57
  • Statistics, Probability and Uncertainty 13
Replace Tine Ravn with:
Tine Ravn Denmark
Daniel Pizzolato Belgium
Gesine Richter Germany
Mónica Cano Abadía Spain
Lina Ghosn France
Kellie Owens United States
Tharshini Jeyakumar Canada
Sabina Heuss Switzerland
Daniel J. Dunleavy United States
Wesam Taher Almagharbeh Saudi Arabia
Krishma Labib relative to Tine Ravn Denmark Tine Ravn's profile →
Citations per field
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Citations per year

Countries citing papers authored by Krishma Labib

Since Specialization
Citations

This map shows the geographic impact of Krishma Labib's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Krishma Labib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishma Labib more than expected).

Fields of papers citing papers by Krishma Labib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krishma Labib. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Krishma Labib. The network helps show where Krishma Labib may publish in the future.

Co-authors

The 21 scholars most cited alongside Krishma Labib, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Krishma Labib Line = papers co-authored together Krishma Labib links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202125
2 202123
3 202116
4 202212
5 20229
6 20236
7 20226
8 20236
9 20233
10 20223
11 20241
12 20250
13 20190

About Krishma Labib

Krishma Labib is a scholar working on Public Health, Environmental and Occupational Health, Safety Research, Health Informatics, Statistics, Probability and Uncertainty and Pharmacology, having authored 13 papers that have together received 110 indexed citations. Recurring topics across this work include Ethics in Clinical Research (11 papers), Academic integrity and plagiarism (7 papers), Artificial Intelligence in Healthcare and Education (3 papers), Meta-analysis and systematic reviews (3 papers), Pharmaceutical industry and healthcare (2 papers), Health and Medical Research Impacts (2 papers), Health Policy Implementation Science (1 paper) and Education and Critical Thinking Development (1 paper). The work is most often cited by research in Health Informatics (32 citations), Safety Research (63 citations), Information Systems and Management (18 citations), Public Health, Environmental and Occupational Health (57 citations) and Statistics, Probability and Uncertainty (13 citations). Krishma Labib has collaborated with scholars based in Netherlands, Belgium and Croatia. Frequent co-authors include Joeri K. Tijdink, Natalie Evans, L.M. Bouter, Guy Widdershoven, Ana Marušić, Ivan Buljan, Kris Dierickx, Daniel Pizzolato, Lidwine B. Mokkink and Noémie Aubert Bonn. Their work appears in journals such as Science and Engineering Ethics, Accountability in Research, Science and Public Policy, Canadian Journal of Bioethics and OSF Preprints (OSF Preprints).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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