Patience I. Adamu

23 papers receiving 283 citations

Peers

Patience I. Adamu
Comparison fields: 5 of 94
  • Obstetrics and Gynecology 55
  • Public Health, Environmental and Occupational Health 132
  • Statistics, Probability and Uncertainty 24
  • Health Information Management 13
  • Clinical Psychology 59
Replace Manasi Patwardhan with:
Manasi Patwardhan India
Sara Romano Italy
John Lee United Kingdom
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Patience I. Adamu relative to Manasi Patwardhan India Manasi Patwardhan's profile →
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Countries citing papers authored by Patience I. Adamu

Since Specialization
Citations

This map shows the geographic impact of Patience I. Adamu'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 Patience I. Adamu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patience I. Adamu more than expected).

Fields of papers citing papers by Patience I. Adamu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patience I. Adamu. 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 Patience I. Adamu. The network helps show where Patience I. Adamu may publish in the future.

Co-authorship network

The 10 scholars most cited alongside Patience I. Adamu, 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 Patience I. Adamu Line = papers co-authored together Patience I. Adamu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20226
2 202115
3 202012
4 2019123
5 201912
6 201914
7 20197
8 201911
9 20197
10 20193
11 20196
12 20189
13 20181
14 201815
15
Shortest Path Planning Algorithm – A Particle Swarm Optimization (PSO) Approach
201811
16 201811
17 201811
18
Minimization of Failed Roads - A Hybrid Resource-Constrained Project Scheduling Problem
20181
19
Machine Learning Priority Rule (MLPR) For Solving Resource-Constrained Project Scheduling Problems
20184
20
Research Output Analysis for Universities of Technology in Nigeria
20185

About Patience I. Adamu

Patience I. Adamu is a scholar working on Statistics, Probability and Uncertainty, Health Information Management and Modeling and Simulation, having authored 24 papers that have together received 307 indexed citations. Recurring topics across this work include Resource-Constrained Project Scheduling (5 papers), scientometrics and bibliometrics research (4 papers), Scheduling and Optimization Algorithms (4 papers), BIM and Construction Integration (3 papers), Artificial Intelligence in Healthcare (3 papers), COVID-19 epidemiological studies (2 papers), Global Cancer Incidence and Screening (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Obstetrics and Gynecology (55 citations), Public Health, Environmental and Occupational Health (132 citations) and Statistics, Probability and Uncertainty (24 citations). Patience I. Adamu has collaborated with scholars based in Nigeria and Russia. Frequent co-authors include Hilary I. Okagbue, Pelumi E. Oguntunde, Abiodun A. Opanuga, S.A. Bishop, Elvir Akhmetshin, Oluwole A. Odetunmibi, I. I. Akinwumi, A. O. Adejumo, Olufemi Aromolaran and Aderemi A. Atayero. Their work appears in journals such as Data in Brief, Wireless Personal Communications, Journal of International Migration and Integration / Revue de l integration et de la migration internationale, DESIDOC Journal of Library & Information Technology and International Journal of Online and Biomedical Engineering (iJOE).

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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