K. Thomas Abraham

466 total citations
10 papers, 308 citations indexed

About

K. Thomas Abraham is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, K. Thomas Abraham has authored 10 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in K. Thomas Abraham's work include Advanced machining processes and optimization (2 papers), AI in cancer detection (2 papers) and Image Retrieval and Classification Techniques (2 papers). K. Thomas Abraham is often cited by papers focused on Advanced machining processes and optimization (2 papers), AI in cancer detection (2 papers) and Image Retrieval and Classification Techniques (2 papers). K. Thomas Abraham collaborates with scholars based in Singapore, Malaysia and United States. K. Thomas Abraham's co-authors include U. Rajendra Acharya, Karthikeyan Ganesan, Lim Choo Min, Chua Kuang Chua, Kwan-Hoong Ng, Choo Min Lim, Kuang Chua Chua, Jen Hong Tan, Sudesh Srivastav and S. Varadarajan and has published in prestigious journals such as IEEE Transactions on Instrumentation and Measurement, Computer Methods and Programs in Biomedicine and Journal of Medical Systems.

In The Last Decade

K. Thomas Abraham

9 papers receiving 289 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K. Thomas Abraham Singapore 7 220 138 111 42 40 10 308
Karthikeyan Ganesan Malaysia 8 244 1.1× 165 1.2× 139 1.3× 39 0.9× 50 1.3× 12 341
Afsaneh Jalalian Iran 5 303 1.4× 246 1.8× 121 1.1× 44 1.0× 33 0.8× 9 396
Maurice Samulski Netherlands 10 255 1.2× 159 1.2× 94 0.8× 66 1.6× 37 0.9× 12 303
Xianling Hu China 6 259 1.2× 190 1.4× 156 1.4× 33 0.8× 26 0.7× 9 391
Raj Kumar Singh India 5 161 0.7× 120 0.9× 96 0.9× 24 0.6× 32 0.8× 6 256
Nor Aniza Azmi Malaysia 5 199 0.9× 198 1.4× 69 0.6× 37 0.9× 19 0.5× 15 309
Azam Hamidinekoo United Kingdom 5 200 0.9× 180 1.3× 61 0.5× 31 0.7× 21 0.5× 13 276
Nadia Brancati Italy 12 173 0.8× 118 0.9× 148 1.3× 18 0.4× 37 0.9× 23 363
Ruining Deng United States 10 152 0.7× 98 0.7× 128 1.2× 39 0.9× 16 0.4× 42 302

Countries citing papers authored by K. Thomas Abraham

Since Specialization
Citations

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

Fields of papers citing papers by K. Thomas Abraham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Thomas Abraham. 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 K. Thomas Abraham. The network helps show where K. Thomas Abraham may publish in the future.

Co-authorship network of co-authors of K. Thomas Abraham

This figure shows the co-authorship network connecting the top 25 collaborators of K. Thomas Abraham. A scholar is included among the top collaborators of K. Thomas Abraham 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 K. Thomas Abraham. K. Thomas Abraham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
3.
Abraham, K. Thomas. (2024). Responsible leadership and triple bottom line performance: imperatives for corporate sustainability. Journal of Global Responsibility. 15(4). 485–500. 15 indexed citations
4.
Tan, Jen Hong, U. Rajendra Acharya, Choo Min Lim, & K. Thomas Abraham. (2013). An interactive lung field segmentation scheme with automated capability. Digital Signal Processing. 23(3). 1022–1031. 6 indexed citations
5.
Ganesan, Karthikeyan, U. Rajendra Acharya, Chua Kuang Chua, Choo Min Lim, & K. Thomas Abraham. (2013). One-Class Classification of Mammograms Using Trace Transform Functionals. IEEE Transactions on Instrumentation and Measurement. 63(2). 304–311. 27 indexed citations
6.
Ganesan, Karthikeyan, U. Rajendra Acharya, Chua Kuang Chua, et al.. (2012). Computer-Aided Breast Cancer Detection Using Mammograms: A Review. IEEE Reviews in Biomedical Engineering. 6. 77–98. 170 indexed citations
7.
Ganesan, Karthikeyan, U. Rajendra Acharya, Kuang Chua Chua, Lim Choo Min, & K. Thomas Abraham. (2012). Pectoral muscle segmentation: A review. Computer Methods and Programs in Biomedicine. 110(1). 48–57. 44 indexed citations
8.
Tan, Jen Hong, et al.. (2011). Computer-Assisted Diagnosis of Tuberculosis: A First Order Statistical Approach to Chest Radiograph. Journal of Medical Systems. 36(5). 2751–2759. 35 indexed citations
9.
Abraham, K. Thomas, et al.. (2011). Evaluation and Development of Advance Control Strategies Which Uses Pattern Recognition Technique for Nonlinear System. International Journal of Computer Theory and Engineering. 111–115. 1 indexed citations
10.

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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