Eva Ignatious

664 total citations · 1 hit paper
6 papers, 389 citations indexed

About

Eva Ignatious is a scholar working on Cognitive Neuroscience, Health Information Management and Speech and Hearing. According to data from OpenAlex, Eva Ignatious has authored 6 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 2 papers in Health Information Management and 2 papers in Speech and Hearing. Recurrent topics in Eva Ignatious's work include Hearing Loss and Rehabilitation (3 papers), Noise Effects and Management (2 papers) and Artificial Intelligence in Healthcare (2 papers). Eva Ignatious is often cited by papers focused on Hearing Loss and Rehabilitation (3 papers), Noise Effects and Management (2 papers) and Artificial Intelligence in Healthcare (2 papers). Eva Ignatious collaborates with scholars based in Australia, Bangladesh and Denmark. Eva Ignatious's co-authors include Sami Azam, Friso De Boer, Mirjam Jonkman, Abhijith Reddy Beeravolu, Asif Karim, F. M. Javed Mehedi Shamrat, Pronab Ghosh, Shahana Shultana and Md. Mehedi Hassan and has published in prestigious journals such as IEEE Access, Journal of Clinical Medicine and Procedia Computer Science.

In The Last Decade

Eva Ignatious

6 papers receiving 363 citations

Hit Papers

align trajectories

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.

Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques

2021 322 citations Pronab Ghosh, Sami Azam et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Ignatious Australia	4	217	152	65	63	35	6	389
Shahana Shultana Bangladesh	3	244 1.1×	173 1.1×	72 1.1×	63 1.0×	36 1.0×	5	416
Md. Mamun Ali Bangladesh	8	237 1.1×	185 1.2×	78 1.2×	56 0.9×	26 0.7×	24	439
M. Raihan Bangladesh	11	158 0.7×	194 1.3×	74 1.1×	32 0.5×	32 0.9×	65	492
Abhijith Reddy Beeravolu Australia	5	229 1.1×	214 1.4×	115 1.8×	66 1.0×	37 1.1×	6	473
Yar Muhammad Pakistan	5	114 0.5×	107 0.7×	80 1.2×	35 0.6×	56 1.6×	9	285
Pooja Rani India	12	267 1.2×	199 1.3×	59 0.9×	53 0.8×	62 1.8×	32	497
Devansh Shah India	4	266 1.2×	153 1.0×	58 0.9×	61 1.0×	43 1.2×	8	360
Atiqur Rahman Malaysia	5	166 0.8×	111 0.7×	47 0.7×	44 0.7×	19 0.5×	10	256
Anna Karen Gárate-Escamilla France	4	184 0.8×	124 0.8×	52 0.8×	40 0.6×	28 0.8×	8	274
Priti Chandra India	6	239 1.1×	218 1.4×	35 0.5×	46 0.7×	103 2.9×	7	393

Countries citing papers authored by Eva Ignatious

Since Specialization

Citations

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

Fields of papers citing papers by Eva Ignatious

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Ignatious

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

All Works

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6 of 6 papers shown

1.

Ignatious, Eva, Sami Azam, Mirjam Jonkman, & Friso De Boer. (2023). Frequency and Time Domain Analysis of EEG Based Auditory Evoked Potentials to Detect Binaural Hearing in Noise. Journal of Clinical Medicine. 12(13). 4487–4487. 3 indexed citations

2.

Hassan, Md. Mehedi, et al.. (2023). An Apriori Algorithm-Based Association Rule Analysis to detect Human Suicidal Behaviour. Procedia Computer Science. 219. 1279–1288. 12 indexed citations

3.

Ignatious, Eva, Sami Azam, Mirjam Jonkman, & Friso De Boer. (2021). Study of Correlation Between EEG Electrodes for the Analysis of Cortical Responses Related to Binaural Hearing. IEEE Access. 9. 66282–66308. 4 indexed citations

4.

Ignatious, Eva, et al.. (2021). Mathematically Modelling the Brain Response to Auditory Stimulus. 17. 151–156. 1 indexed citations

5.

Ghosh, Pronab, Sami Azam, Mirjam Jonkman, et al.. (2021). Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques. IEEE Access. 9. 19304–19326. 322 indexed citations breakdown →

6.

Azam, Sami, et al.. (2021). A Comprehensive Unsupervised Framework for Chronic Kidney Disease Prediction. IEEE Access. 9. 126481–126501. 47 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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