Ajith Abraham

1.8k total citations · 1 hit paper
27 papers, 489 citations indexed

About

Ajith Abraham is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ajith Abraham has authored 27 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Ajith Abraham's work include Metaheuristic Optimization Algorithms Research (4 papers), Evolutionary Algorithms and Applications (4 papers) and Network Security and Intrusion Detection (3 papers). Ajith Abraham is often cited by papers focused on Metaheuristic Optimization Algorithms Research (4 papers), Evolutionary Algorithms and Applications (4 papers) and Network Security and Intrusion Detection (3 papers). Ajith Abraham collaborates with scholars based in India, Norway and United States. Ajith Abraham's co-authors include Bo Yang, Yuehui Chen, Lizhi Peng, Swagatam Das, Amit Konar, Václav Snåšel, Pavel Krömer, Diego Oliva, Sebastián Ventura and Paramartha Dutta and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, Artificial Intelligence Review and Engineering Applications of Artificial Intelligence.

In The Last Decade

Ajith Abraham

27 papers receiving 459 citations

Hit Papers

Handling imbalanced medical datasets: review of a decade ... 2024 2026 2025 2024 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Handling imbalanced medical datasets: review of a decade of research
    2024 48 citations Diego Oliva, Ajith Abraham et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajith Abraham India 9 272 93 63 61 55 27 489
Thomas Stifter Luxembourg 10 163 0.6× 51 0.5× 58 0.9× 85 1.4× 44 0.8× 17 604
Yixian Yang China 13 255 0.9× 162 1.7× 126 2.0× 82 1.3× 46 0.8× 95 549
Daniel Clancy United States 12 285 1.0× 139 1.5× 66 1.0× 56 0.9× 85 1.5× 61 597
Divya Kumar India 12 190 0.7× 59 0.6× 46 0.7× 81 1.3× 37 0.7× 46 451
Hussein Al-Zoubi Jordan 12 220 0.8× 106 1.1× 146 2.3× 31 0.5× 66 1.2× 34 513
Luay Alawneh Jordan 12 149 0.5× 158 1.7× 114 1.8× 137 2.2× 34 0.6× 36 442
Zheng Gong China 12 320 1.2× 142 1.5× 144 2.3× 119 2.0× 49 0.9× 77 547
Ruba Abu Khurma Jordan 15 374 1.4× 157 1.7× 90 1.4× 129 2.1× 76 1.4× 46 697
Wenliang Zhong Hong Kong 8 246 0.9× 87 0.9× 89 1.4× 43 0.7× 120 2.2× 9 483
Wenhong Wei China 13 269 1.0× 261 2.8× 93 1.5× 41 0.7× 120 2.2× 75 581

Countries citing papers authored by Ajith Abraham

Since Specialization
Citations

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

Fields of papers citing papers by Ajith Abraham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajith Abraham

This figure shows the co-authorship network connecting the top 25 collaborators of Ajith Abraham. A scholar is included among the top collaborators of Ajith 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 Ajith Abraham. Ajith Abraham 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
1.
Upadhyay, Avinash, et al.. (2025). Simple yet robust markerless motion capture system using deep learning. Engineering Applications of Artificial Intelligence. 160. 111905–111905. 1 indexed citations
2.
3.
Kumar, Satish, et al.. (2024). Enhancement of tool life using magneto-rheological fluid damping and tool wear prediction through deep learning model in milling. Engineering Applications of Artificial Intelligence. 137. 109265–109265. 4 indexed citations
4.
Oliva, Diego, et al.. (2024). Handling imbalanced medical datasets: review of a decade of research. Artificial Intelligence Review. 57(10). 48 indexed citations breakdown →
5.
Dash, Yajnaseni, et al.. (2024). Advances in Medical Text Summarization: Comparative Performance Analysis of PEGASUS and T5. 1–5. 1 indexed citations
6.
Upadhyay, Avinash, et al.. (2024). LWIRPOSE: A Novel Long Wave Infrared Thermal Image Pose Dataset and Benchmark. 186–192. 1 indexed citations
7.
Dash, Yajnaseni, et al.. (2024). Enhancing Brain Tumor Classification and Segmentation Using ResNet50. 1–5. 1 indexed citations
8.
Dash, S., Subhendu Kumar Pani, Ajith Abraham, & Yulan Liang. (2021). Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing. 6 indexed citations
9.
Singh, Pawan Kumar, Ram Sarkar, Ajith Abraham, & Mita Nasipuri. (2021). A Case Study on Handwritten Indic Script Classification: Benchmarking of the Results at Page, Block, Text-line, and Word Levels. ACM Transactions on Asian and Low-Resource Language Information Processing. 21(2). 1–36. 2 indexed citations
10.
Abraham, Ajith, et al.. (2018). Emerging Technologies in Data Mining and Information Security. Advances in intelligent systems and computing. 7 indexed citations
11.
Sun, Hui, et al.. (2014). Genetic and Evolutionary Computing. Advances in intelligent systems and computing. 15 indexed citations
12.
Horák, Zdeněk, et al.. (2008). Understanding Social Networks Using Formal Concept Analysis. 390–393. 13 indexed citations
13.
Falcón, Rafael, Benoît Depaire, Koen Vanhoof, & Ajith Abraham. (2008). Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering. Document Server@UHasselt (UHasselt). 652–657. 7 indexed citations
14.
Krömer, Pavel, et al.. (2008). Implicit User Modelling Using Hybrid Meta-Heuristics. 3. 42–47. 3 indexed citations
15.
Elhosseini, Mostafa A., et al.. (2008). Cultural-Based Genetic Algorithm: Design and Real World Applications. 220. 488–493. 2 indexed citations
16.
Bhattacharya, Alakananda, Amit Konar, Swagatam Das, Crina Groşan, & Ajith Abraham. (2008). Hardware Software Partitioning Problem in Embedded System Design Using Particle Swarm Optimization Algorithm. 11. 171–176. 25 indexed citations
17.
Abraham, Ajith & Hongbo Liu. (2008). Swarm intelligence based rough set reduction scheme for support vector machines. 200–202. 2 indexed citations
18.
19.
Chen, Yuehui, Bo Yang, Ajith Abraham, & Lizhi Peng. (2007). Automatic Design of Hierarchical Takagi–Sugeno Type Fuzzy Systems Using Evolutionary Algorithms. IEEE Transactions on Fuzzy Systems. 15(3). 385–397. 104 indexed citations
20.
Abraham, Ajith. (2006). Swarm Intelligence in Data Mining. Studies in computational intelligence. 83 indexed citations

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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