Peter Appiahene

995 total citations
51 papers, 516 citations indexed

About

Peter Appiahene is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Peter Appiahene has authored 51 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Management Science and Operations Research. Recurrent topics in Peter Appiahene's work include Digital Imaging for Blood Diseases (7 papers), AI in cancer detection (5 papers) and Iron Metabolism and Disorders (5 papers). Peter Appiahene is often cited by papers focused on Digital Imaging for Blood Diseases (7 papers), AI in cancer detection (5 papers) and Iron Metabolism and Disorders (5 papers). Peter Appiahene collaborates with scholars based in Ghana, China and Australia. Peter Appiahene's co-authors include Emmanuel Timmy Donkoh, Yaw Marfo Missah, V. Vijayakumar, Giovanni Dimauro, Tao Zhang, Rosalia Maglietta, Tao Zhang, Samuel Boateng, Kingsley Kofi Arthur and Mukesh Prasad and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Engineering Applications of Artificial Intelligence.

In The Last Decade

Peter Appiahene

41 papers receiving 477 citations

Peers

Peter Appiahene
Comparison fields: 5 of 108
  • Artificial Intelligence 124
  • Computer Vision and Pattern Recognition 67
  • Management Science and Operations Research 66
  • Radiology, Nuclear Medicine and Imaging 57
  • Health Information Management 51
Replace Ali Dağ with:
Ali Dağ United States
Paul Mangiameli United States
Hendri Murfi Indonesia
Nor Samsiah Sani Malaysia
C. K. Jha India
Shaw K. Chen United States
Bing Zhu China
Vural Aksakallı Türkiye
Silvia Figini Italy
Matías Gámez Spain
Ali Dağ United States View profile →
Citations per field, relative to Peter Appiahene
Peter Appiahene · 1×
Citations per year, relative to Peter Appiahene
Peter Appiahene · 1×

Countries citing papers authored by Peter Appiahene

Since Specialization
Citations

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

Fields of papers citing papers by Peter Appiahene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Appiahene. 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 Peter Appiahene. The network helps show where Peter Appiahene may publish in the future.

Co-authorship network of co-authors of Peter Appiahene

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Appiahene. A scholar is included among the top collaborators of Peter Appiahene based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Appiahene. Peter Appiahene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 5
6 0
7 4
8 2
9 3
10 55
11 7
12 10
13 0
14 23
15 15
16 0
17 6
18 2
19
The Influence of Human Resource Management Practices on Organisational Commitment: A Study of Manufacturing Organisations in Nigeria
5
20
Assessing the Challenges of Learning and Teaching of Mathematics in Second Cycle Institutions in Ghana
0

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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