Krishma Labib

439 citations
13 papers · 97 · h-index 6

Impact in

Papers in

Krishma Labib

11 papers receiving 95 citations

Peers

Krishma Labib
Comparison fields: 5 of 30
  • Health Informatics 33
  • Safety Research 61
  • Information Systems and Management 18
  • Public Health, Environmental and Occupational Health 58
  • Statistics, Probability and Uncertainty 13
Replace Tine Ravn with:
Tine Ravn Denmark
Daniel Pizzolato Belgium
Iratxe Puebla United States
Tharshini Jeyakumar Canada
Laura Adams United States
Muhammad Awwal Ladan Nigeria
Neil Kramm South Africa
Hendrik Trescher Germany
Olga Aleksandrova Russia
Shai Gretz Israel
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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 202123
2 202121
3 202115
4 20229
5 20227
6 20236
7 20235
8 20225
9 20223
10 20232
11 20241
12 20190
13 20250

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 97 indexed citations. Recurring topics across this work include Ethics in Clinical Research (11 papers), Academic integrity and plagiarism (7 papers), Meta-analysis and systematic reviews (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Pharmaceutical industry and healthcare (2 papers), Health and Medical Research Impacts (2 papers), Health Policy Implementation Science (1 paper) and Higher Education Practises and Engagement (1 paper). The work is most often cited by research in Health Informatics (33 citations), Safety Research (61 citations), Information Systems and Management (18 citations), Public Health, Environmental and Occupational Health (58 citations) and Statistics, Probability and Uncertainty (13 citations). Krishma Labib has collaborated with scholars based in Netherlands, Croatia and Belgium. Frequent co-authors include Joeri K. Tijdink, Natalie Evans, Guy Widdershoven, L.M. Bouter, Ana Marušić, Ivan Buljan, Lidwine B. Mokkink, Kris Dierickx, Daniel Pizzolato and Panagiotis Kavouras. 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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